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2. Image Analysis and Processing. ICIAP 2022 Workshops : ICIAP International Workshops, Lecce, Italy, May 23–27, 2022, Revised Selected Papers, Part II
- Author
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Pier Luigi Mazzeo, Emanuele Frontoni, Stan Sclaroff, Cosimo Distante, Pier Luigi Mazzeo, Emanuele Frontoni, Stan Sclaroff, and Cosimo Distante
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- Image processing—Digital techniques, Computer vision, Image processing, Machine learning, Computer networks
- Abstract
The two-volume set LNCS 13373 and 13374 constitutes the papers of several workshops which were held in conjunction with the 21st International Conference on Image Analysis and Processing, ICIAP 2022, held in Lecce, Italy, in May 2022.The 96 revised full papers presented in the proceedings set were carefully reviewed and selected from 157 submissions.ICIAP 2022 presents the following Sixteen workshops:Volume I:GoodBrother workshop on visual intelligence for active and assisted livingParts can worth like the Whole - PART 2022Workshop on Fine Art Pattern Extraction and Recognition - FAPERWorkshop on Intelligent Systems in Human and Artificial Perception - ISHAPE 2022Artificial Intelligence and Radiomics in Computer-Aided Diagnosis - AIRCADDeep-Learning and High Performance Computing to Boost Biomedical Applications - DeepHealthVolume II: Human Behaviour Analysis for Smart City Environment Safety - HBAxSCESBinary is the new Black (and White): Recent Advances on Binary Image ProcessingArtificial Intelligence for preterm infants'healthCare - AI-careTowards a Complete Analysis of People: From Face and Body to Clothes - T-CAPArtificial Intelligence for Digital Humanities - AI4DHMedical Transformers - MEDXFLearning in Precision Livestock Farming - LPLFWorkshop on Small-Drone Surveillance, Detection and Counteraction Techniques - WOSDETCMedical Imaging Analysis For Covid-19 - MIACOVID 2022Novel Benchmarks and Approaches for Real-World Continual Learning - CL4REAL
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- 2022
3. Intelligent Computing for Sustainable Development : First International Conference, ICICSD 2023, Hyderabad, India, August 25–26, 2023, Revised Selected Papers, Part II
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S. Satheeskumaran, Yudong Zhang, Valentina Emilia Balas, Tzung-pei Hong, Danilo Pelusi, S. Satheeskumaran, Yudong Zhang, Valentina Emilia Balas, Tzung-pei Hong, and Danilo Pelusi
- Subjects
- Machine learning, Image processing—Digital techniques, Computer vision, Artificial intelligence, Image processing
- Abstract
The two-volume proceedings set CCIS 2121 and 2122 constitutes the refereed proceedings of the First International Conference on Intelligent Computing for Sustainable Development, ICICSD 2023, which took place in Hyderabad, India, during August 25–26, 2023. The 46 papers included in these proceedings were carefully reviewed and selected from 138 submissions. They focus on digital healthcare, renewable energy, smart cities, digital farming, and autonomous systems.
- Published
- 2024
4. Intelligent Computing for Sustainable Development : First International Conference, ICICSD 2023, Hyderabad, India, August 25–26, 2023, Revised Selected Papers, Part I
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S. Satheeskumaran, Yudong Zhang, Valentina Emilia Balas, Tzung-pei Hong, Danilo Pelusi, S. Satheeskumaran, Yudong Zhang, Valentina Emilia Balas, Tzung-pei Hong, and Danilo Pelusi
- Subjects
- Machine learning, Image processing—Digital techniques, Computer vision, Artificial intelligence, Image processing
- Abstract
The two-volume proceedings set CCIS 2121 and 2122 constitutes the refereed proceedings of the First International Conference on Intelligent Computing for Sustainable Development, ICICSD 2023, which took place in Hyderabad, India, during August 25–26, 2023. The 46 papers included in these proceedings were carefully reviewed and selected from 138 submissions. They focus on digital healthcare, renewable energy, smart cities, digital farming, and autonomous systems.
- Published
- 2024
5. Recent Trends in AI Enabled Technologies : First International Conference, ThinkAI 2023, Hyderabad, India, December 29, 2023, Revised Selected Papers
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Gangamohan Paidi, Suryakanth V Gangashetty, Ashwini Kumar Varma, Gangamohan Paidi, Suryakanth V Gangashetty, and Ashwini Kumar Varma
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- Artificial intelligence, Machine learning, Image processing—Digital techniques, Computer vision, Image processing
- Abstract
This book constitutes the refereed proceedings of the First International Conference on Recent Trends in AI Enabled Technologies, ThinkAI 2023, which took place in Hyderabad, India, in December 2023. The 7 full papers presented in these proceedings were carefully reviewed and selected from 51 submissions. The conference focuses on on up to date topics and recent trends in artificial intelligence and related technologies.
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- 2024
6. Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXXVIII
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Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, and Gül Varol
- Subjects
- Image processing—Digital techniques, Computer vision, Image processing, Computer networks, User interfaces (Computer systems), Human-computer interaction, Machine learning, Computers, Special purpose
- Abstract
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
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- 2024
7. Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29 – October 4, 2024, Proceedings, Part XXII
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Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, and Gül Varol
- Subjects
- Image processing—Digital techniques, Computer vision, Image processing, Computer networks, User interfaces (Computer systems), Human-computer interaction, Machine learning, Computers, Special purpose
- Abstract
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
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- 2024
8. Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29 – October 4, 2024, Proceedings, Part XVIII
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Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, and Gül Varol
- Subjects
- Image processing—Digital techniques, Computer vision, Image processing, Computer networks, User interfaces (Computer systems), Human-computer interaction, Machine learning, Computers, Special purpose
- Abstract
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
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- 2024
9. Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part IV
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Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, and Gül Varol
- Subjects
- Image processing—Digital techniques, Computer vision, Image processing, Computer networks, User interfaces (Computer systems), Human-computer interaction, Machine learning, Computers, Special purpose
- Abstract
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
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- 2024
10. Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XLIV
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Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, and Gül Varol
- Subjects
- Image processing—Digital techniques, Computer vision, Image processing, Computer networks, Machine learning, Computers, Special purpose, User interfaces (Computer systems), Human-computer interaction
- Abstract
The multi-volume set of LNCS books with volume numbers 15059 upto 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
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- 2024
11. Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXXIX
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Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, and Gül Varol
- Subjects
- Image processing—Digital techniques, Computer vision, Image processing, Computer networks, User interfaces (Computer systems), Human-computer interaction, Machine learning, Computers, Special purpose
- Abstract
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
- Published
- 2024
12. Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XLII
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Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, and Gül Varol
- Subjects
- Image processing—Digital techniques, Computer vision, Image processing, Computer networks, User interfaces (Computer systems), Human-computer interaction, Machine learning, Computers, Special purpose
- Abstract
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
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- 2024
13. Distributed Computing and Intelligent Technology : 20th International Conference, ICDCIT 2024, Bhubaneswar, India, January 17–20, 2024, Proceedings
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Stéphane Devismes, Partha Sarathi Mandal, V. Vijaya Saradhi, Bhanu Prasad, Anisur Rahaman Molla, Gokarna Sharma, Stéphane Devismes, Partha Sarathi Mandal, V. Vijaya Saradhi, Bhanu Prasad, Anisur Rahaman Molla, and Gokarna Sharma
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- Computer Networks, Computer vision, Image processing, Computer engineering, Computers, Special purpose
- Abstract
This book constitutes the refereed proceedings of the 20th International Conference on Distributed Computing and Intelligent Technology, ICDCIT 2024, which was held in Bhubaneswar, India, during January 17–20, 2024. The 24 full papers presented in this volume were carefully reviewed and selected from 116 submissions. The papers are organized in the following topical sections: Distributed Computing (DC) and Intelligent Technology (IT). The DC track solicits original research papers contributing to the foundations and applications of distributed computing, whereas the IT track solicits original research papers contributing to the foundations and applications of Intelligent Technology.
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- 2024
14. Distributed Computing and Intelligent Technology : 19th International Conference, ICDCIT 2023, Bhubaneswar, India, January 18–22, 2023, Proceedings
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Anisur Rahaman Molla, Gokarna Sharma, Pradeep Kumar, Sanjay Rawat, Anisur Rahaman Molla, Gokarna Sharma, Pradeep Kumar, and Sanjay Rawat
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- Computer Networks, Computer vision, Image processing, Computer engineering, Computers, Special purpose
- Abstract
This book constitutes the proceedings of the 19th International Conference on Distributed Computing and Intelligent Technology, ICDCIT 2023, which was held in Bhubaneswar, India, in January 2023.The 20 full papers and 9 short papers presented in this volume were carefully reviewed and selected from 55 submissions. The papers are organized in the following topical sections: Invited Talks; Distributed Computing; Intelligent Technology.
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- 2023
15. Games and Learning Alliance : 9th International Conference, GALA 2020, Laval, France, December 9–10, 2020, Proceedings
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Iza Marfisi-Schottman, Francesco Bellotti, Ludovic Hamon, Roland Klemke, Iza Marfisi-Schottman, Francesco Bellotti, Ludovic Hamon, and Roland Klemke
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- Microcomputers, Education—Data processing, Artificial intelligence, Computer vision, Image processing, Computer networks
- Abstract
This book constitutes the refereed proceedings of the 9th International Conference on Games and Learning Alliance, GALA 2020, held in Laval, France, in December 2020. The 35 full papers and 10 short papers were carefully reviewed and selected from 77 submissions. The papers cover a broad spectrum of topics: Serious Game Design; Serious Game Analytics; Virtual and Mixed Reality Applications; Gamification Theory; Gamification Applications; Serious Games for Instruction; and Serious Game Applications and Studies.
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- 2020
16. Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LVII
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Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, and Gül Varol
- Subjects
- Image processing—Digital techniques, Computer vision, Image processing, Computer networks, Machine learning, Computers, Special purpose, User interfaces (Computer systems), Human-computer interaction
- Abstract
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
- Published
- 2024
17. Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XLVI
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Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, and Gül Varol
- Subjects
- Image processing—Digital techniques, Computer vision, Image processing, Computer networks, Machine learning, Computers, Special purpose, User interfaces (Computer systems), Human-computer interaction
- Abstract
The multi-volume set of LNCS books with volume numbers 15059 upto 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as Computer vision, Machine learning, Deep neural networks, Reinforcement learning, Object recognition, Image classification, Image processing, Object detection, Semantic segmentation, Human pose estimation, 3D reconstruction, Stereo vision, Computational photography, Neural networks, Image coding, Image reconstruction and Motion estimation.
- Published
- 2024
18. Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part I
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Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, and Gül Varol
- Subjects
- Image processing—Digital techniques, Computer vision, Image processing, Computer networks, User interfaces (Computer systems), Human-computer interaction, Machine learning, Computers, Special purpose
- Abstract
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
- Published
- 2024
19. Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XLIII
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Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, and Gül Varol
- Subjects
- Image processing—Digital techniques, Computer vision, Image processing, Computer networks, Machine learning, Computers, Special purpose, User interfaces (Computer systems), Human-computer interaction
- Abstract
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
- Published
- 2024
20. Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29 – October 4, 2024, Proceedings, Part XXXV
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Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, and Gül Varol
- Subjects
- Image processing—Digital techniques, Computer vision, Image processing, Computer networks, Machine learning, Computers, Special purpose, User interfaces (Computer systems), Human-computer interaction
- Abstract
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
- Published
- 2024
21. MultiMedia Modeling : 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 – February 2, 2024, Proceedings, Part II
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Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, Yoko Yamakata, Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, and Yoko Yamakata
- Subjects
- Computer vision, Image processing, Pattern recognition systems, Application software, Information storage and retrieval systems, Machine learning
- Abstract
This book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29–February 2, 2024.The 112 full papers included in this volume were carefully reviewed and selected from 297 submissions. The MMM conference were organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.
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- 2024
22. MultiMedia Modeling : 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 – February 2, 2024, Proceedings, Part IV
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Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, Yoko Yamakata, Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, and Yoko Yamakata
- Subjects
- Computer vision, Image processing, Pattern recognition systems, Application software, Information storage and retrieval systems, Machine learning
- Abstract
This book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29–February 2, 2024.The 112 full papers included in this volume were carefully reviewed and selected from 297 submissions. The MMM conference were organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.
- Published
- 2024
23. MultiMedia Modeling : 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 – February 2, 2024, Proceedings, Part III
- Author
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Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, Yoko Yamakata, Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, and Yoko Yamakata
- Subjects
- Computer vision, Image processing, Pattern recognition systems, Application software, Information storage and retrieval systems, Machine learning
- Abstract
This book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29–February 2, 2024.The 112 full papers included in this volume were carefully reviewed and selected from 297 submissions. The MMM conference were organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.
- Published
- 2024
24. MultiMedia Modeling : 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 – February 2, 2024, Proceedings, Part I
- Author
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Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, Yoko Yamakata, Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, and Yoko Yamakata
- Subjects
- Computer vision, Image processing, Pattern recognition systems, Application software, Information storage and retrieval systems, Machine learning
- Abstract
This book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29 – February 2, 2024.The 112 full papers included in this volume were carefully reviewed and selected from 297 submissions. The MMM conference were organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.
- Published
- 2024
25. Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree From Multicenter Acquisition : First Challenge, SEG.A. 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
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Antonio Pepe, Gian Marco Melito, Jan Egger, Antonio Pepe, Gian Marco Melito, and Jan Egger
- Subjects
- Image processing—Digital techniques, Computer vision, Image processing, Social sciences—Data processing, Computers, Education—Data processing
- Abstract
This book constitutes the First Segmentation of the Aorta Challenge, SEG.A. 2023, which was held in conjunction with the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, on October 8, 2023. The 8 full and 3 short papers presented have been carefully reviewed and selected for inclusion in the book. They focus specifically on robustness, visual quality and meshing of automatically generated segmentations of aortic vessel trees from CT imaging. The challenge was organized as a ”container submission” challenge, where participants had to upload their algorithms to Grand Challenge in the form of Docker containers. Three tasks were created for SEG.A. 2023.
- Published
- 2024
26. Adaptive Instructional Systems : 6th International Conference, AIS 2024, Held As Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29–July 4, 2024, Proceedings
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Robert A. Sottilare, Jessica Schwarz, Robert A. Sottilare, and Jessica Schwarz
- Subjects
- User interfaces (Computer systems), Human-computer interaction, Education—Data processing, Social sciences—Data processing, Image processing, Computer vision, Data mining
- Abstract
This book constitutes the refereed proceedings of 6th International Conference on Adaptive Instructional Systems, AIS 2024, held as part of the 26th International Conference, HCI International 2024, which took place in Washington, DC, USA, during June 29-July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The HCII-AIS 2024 contributions have been organized in the following topical sections: Designing and developing adaptive instructional systems; adaptive learning experiences; AI in adaptive learning.
- Published
- 2024
27. Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part VI
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Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, and Gül Varol
- Subjects
- Image processing—Digital techniques, Computer vision, Image processing, Computer networks, User interfaces (Computer systems), Human-computer interaction, Machine learning, Computers, Special purpose
- Abstract
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
- Published
- 2024
28. Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part VII
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Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, and Gül Varol
- Subjects
- Image processing—Digital techniques, Computer vision, Image processing, Computer networks, User interfaces (Computer systems), Human-computer interaction, Machine learning, Computers, Special purpose
- Abstract
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
- Published
- 2024
29. MultiMedia Modeling : 29th International Conference, MMM 2023, Bergen, Norway, January 9–12, 2023, Proceedings, Part II
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Duc-Tien Dang-Nguyen, Cathal Gurrin, Martha Larson, Alan F. Smeaton, Stevan Rudinac, Minh-Son Dao, Christoph Trattner, Phoebe Chen, Duc-Tien Dang-Nguyen, Cathal Gurrin, Martha Larson, Alan F. Smeaton, Stevan Rudinac, Minh-Son Dao, Christoph Trattner, and Phoebe Chen
- Subjects
- Computer vision, Image processing, Pattern recognition systems, Application software, Information storage and retrieval systems
- Abstract
The two-volume set LNCS 13833 and LNCS 13834 constitutes the proceedings of the 29th International Conference on MultiMedia Modeling, MMM 2023, which took place in Bergen, Norway, during January 9-12, 2023. The 86 papers presented in these proceedings were carefully reviewed and selected from a total of 267 submissions. They focus on topics related to multimedia content analysis; multimedia signal processing and communications; and multimedia applications and services.
- Published
- 2023
30. Progress in Artificial Intelligence and Pattern Recognition : 8th International Congress on Artificial Intelligence and Pattern Recognition, IWAIPR 2023, Varadero, Cuba, September 27–29, 2023, Proceedings
- Author
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Yanio Hernández Heredia, Vladimir Milián Núñez, José Ruiz Shulcloper, Yanio Hernández Heredia, Vladimir Milián Núñez, and José Ruiz Shulcloper
- Subjects
- Computer vision, Image processing, Artificial intelligence
- Abstract
This book constitutes the refereed proceedings of the 8th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2023, held in Varadero, Cuba, in October 2023. The 68 papers presented in the proceedings set were carefully reviewed and selected from 38 submissions. The IWAIPR conference aims to provide a leading international forum to promote and disseminate ongoing research into mathematical methods of computing techniques for Artifical Intelligence and Pattern Recognition.
- Published
- 2023
31. Head and Neck Tumor Segmentation and Outcome Prediction : Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
- Author
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Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, Adrien Depeursinge, Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, and Adrien Depeursinge
- Subjects
- Image processing—Digital techniques, Computer vision, Image processing, Machine learning, Bioinformatics
- Abstract
This book constitutes the Third 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2022, which was held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, on September 22, 2022.The 22 contributions presented, as well as an overview paper, were carefully reviewed and selected from 24 submissions. This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 883 delineated PET/CT images was made available for training.
- Published
- 2023
32. Advanced Concepts for Intelligent Vision Systems : 21st International Conference, ACIVS 2023 Kumamoto, Japan, August 21–23, 2023 Proceedings
- Author
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Jaques Blanc-Talon, Patrice Delmas, Wilfried Philips, Paul Scheunders, Jaques Blanc-Talon, Patrice Delmas, Wilfried Philips, and Paul Scheunders
- Subjects
- Computer vision, Biometric identification, Image processing, Robotics
- Abstract
This book constitutes the proceedings of the 21st International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2023, held in Kumamoto, Japan, during August 2023. The 31 papers presented in this volume were carefully reviewed and selected from a total of 48 submissions. They were organized in topical sections named: Computer Vision, Affective Computing and Human Interactions, Managing the Biodiversity, Robotics and Drones, Machine Learning.
- Published
- 2023
33. Computational Vision and Bio-Inspired Computing : Proceedings of ICCVBIC 2021
- Author
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S. Smys, João Manuel R. S. Tavares, Valentina Emilia Balas, S. Smys, João Manuel R. S. Tavares, and Valentina Emilia Balas
- Subjects
- Computational intelligence, Bioinformatics, Image processing—Digital techniques, Computer vision, Image processing
- Abstract
This book includes selected papers from the 5th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2021), held in Coimbatore, India, during November 25–26, 2021. This book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. It also contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.
- Published
- 2022
34. Intelligent Systems : 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20–23, 2020, Proceedings, Part I
- Author
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Ricardo Cerri, Ronaldo C. Prati, Ricardo Cerri, and Ronaldo C. Prati
- Subjects
- Artificial intelligence, Social sciences—Data processing, Education—Data processing, Data mining, Image processing, Computer vision
- Abstract
The two-volume set LNAI 12319 and 12320 constitutes the proceedings of the 9th Brazilian Conference on Intelligent Systems, BRACIS 2020, held in Rio Grande, Brazil, in October 2020. The total of 90 papers presented in these two volumes was carefully reviewed and selected from 228 submissions. The contributions are organized in the following topical section: Part I: Evolutionary computation, metaheuristics, constrains and search, combinatorial and numerical optimization; neural networks, deep learning and computer vision; and text mining and natural language processing. Part II: Agent and multi-agent systems, planning and reinforcement learning; knowledge representation, logic and fuzzy systems; machine learning and data mining; and multidisciplinary artificial and computational intelligence and applications.Due to the Corona pandemic BRACIS 2020 was held as a virtual event.
- Published
- 2020
35. Plenoptic Imaging and Processing
- Author
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Lu Fang and Lu Fang
- Subjects
- Computer vision, Image processing, Materials—Analysis, Imaging systems
- Abstract
This open access book delves into the fundamental principles and cutting-edge techniques of plenoptic imaging and processing. Derived from the Latin words'plenus'(meaning'full') and'optic,'plenoptic imaging offers a transformative approach to optical imaging. Unlike conventional systems that rely solely on the pinhole camera model to capture spatial information, plenoptic imaging aims to detect and reconstruct multidimensional and multiscale information from light rays in space. Chapter 1 begins with the introduction of the basic principle of the plenoptic function and the historical development of plenoptic imaging. Next, Chapter 2 describes representative plenoptic sensing systems, including single-sensor devices with lenslet arrays, coded-aperture masks, structured camera arrays, and unstructured camera arrays. Then, Chapter 3 introduces gigapixel plenoptic sensing techniques capable of capturing large-scale dynamic scenes with extremely high resolution. Further, chapter 4 examines typical plenoptic reconstruction methods, including light-field image reconstruction, image-based, and RGBD-based geometry reconstruction. After that, chapter 5 tackles the challenges of large-scale plenoptic reconstruction by introducing sparse-view priors, high-resolution observations, and semantic information. Finally, chapter 6 discusses the frontier issues of plenoptic processing, including the gigapixel-level video dataset PANDA and corresponding visual intelligent algorithms.
- Published
- 2024
36. Video Object Tracking : Tasks, Datasets, and Methods
- Author
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Ning Xu, Weiyao Lin, Xiankai Lu, Yunchao Wei, Ning Xu, Weiyao Lin, Xiankai Lu, and Yunchao Wei
- Subjects
- Image processing, Image processing--Digital techniques, Computer vision, Automatic tracking, Digital video, Pattern recognition systems, Machine learning
- Abstract
This book provides a thorough overview of recent progress in video object tracking, allowing researchers and industrial practitioners to gain a better understanding of the most important problems and developed technologies in the area. Video tracking is a key research area in computer vision and aims to track unique objects in a given video, which are useful for various applications such as video conference, video editing, surveillance, and autonomous driving. This book begins with an introduction to the task of video object tracking, including the most common problem settings. Given the revolution of deep learning in computer vision problems, numerous new tasks, datasets, and methods have been recently proposed in the domain of video tracking. The book includes these recent results as well as benchmarks in large-scale human-centric video analysis in complex events.
- Published
- 2024
37. 3D Computer Vision : Foundations and Advanced Methodologies
- Author
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Yu-Jin Zhang and Yu-Jin Zhang
- Subjects
- Computer vision, Image processing—Digital techniques, Image processing
- Abstract
This book offers a comprehensive and unbiased introduction to 3D Computer Vision, ranging from its foundations and essential principles to advanced methodologies and technologies. Divided into 11 chapters, it covers the main workflow of 3D computer vision as follows: camera imaging and calibration models; various modes and means of 3D image acquisition; binocular, trinocular and multi-ocular stereo vision matching techniques; monocular single-image and multi-image scene restoration methods; point cloud data processing and modeling; simultaneous location and mapping; generalized image and scene matching; and understanding spatial-temporal behavior. Each topic is addressed in a uniform manner: the dedicated chapter first covers the essential concepts and basic principles before presenting a selection of typical, specific methods and practical techniques. In turn, it introduces readers to the most important recent developments, especially in the last three years. This approachallows them to quickly familiarize themselves with the subject, implement the techniques discussed, and design or improve their own methods for specific applications. The book can be used as a textbook for graduate courses in computer science, computer engineering, electrical engineering, data science, and related subjects. It also offers a valuable reference guide for researchers and practitioners alike.
- Published
- 2024
38. Data Driven Approaches on Medical Imaging
- Author
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Bin Zheng, Stefan Andrei, Md Kamruzzaman Sarker, Kishor Datta Gupta, Bin Zheng, Stefan Andrei, Md Kamruzzaman Sarker, and Kishor Datta Gupta
- Subjects
- Image processing, Medical informatics, Biomedical engineering, Computer vision
- Abstract
This book deals with the recent advancements in computer vision techniques such as active learning, few-shot learning, zero shot learning, explainable and interpretable ML, online learning, AutoML etc. and their applications in medical domain. Moreover, the key challenges which affect the design, development, and performance of medical imaging systems are addressed. In addition, the state-of-the-art medical imaging methodologies for efficient, interpretable, explainable, and practical implementation of computer imaging techniques are discussed. At present, there are no textbook resources that address the medical imaging technologies. There are ongoing and novel research outcomes which would be useful for the development of novel medical imaging technologies/processes/equipment which can improve the current state of the art.The book particularly focuses on the use of data driven new technologies on medical imaging vision such as Active learning, Online learning, few shot learning, AutoML, segmentation etc.
- Published
- 2024
39. Advances in Multimodal Information Retrieval and Generation
- Author
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Man Luo, Tejas Gokhale, Neeraj Varshney, Yezhou Yang, Chitta Baral, Man Luo, Tejas Gokhale, Neeraj Varshney, Yezhou Yang, and Chitta Baral
- Subjects
- Information storage and retrieval systems, Image processing, Artificial intelligence, Machine learning, Data mining, Computer vision
- Abstract
This book provides an extensive examination of state-of-the-art methods in multimodal retrieval, generation, and the pioneering field of retrieval-augmented generation. The work is rooted in the domain of Transformer-based models, exploring the complexities of blending and interpreting the intricate connections between text and images. The authors present cutting-edge theories, methodologies, and frameworks dedicated to multimodal retrieval and generation, aiming to furnish readers with a comprehensive understanding of the current state and future prospects of multimodal AI. As such, the book is a crucial resource for anyone interested in delving into the intricacies of multimodal retrieval and generation. Serving as a bridge to mastering and leveraging advanced AI technologies in this field, the book is designed for students, researchers, practitioners, and AI aficionados alike, offering the tools needed to expand the horizons of what can be achieved in multimodal artificial intelligence.
- Published
- 2024
40. Image Processing Recipes in MATLAB®
- Author
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Oge Marques, Gustavo Benvenutti Borba, Oge Marques, and Gustavo Benvenutti Borba
- Subjects
- Image processing
- Abstract
Leveraging the latest developments in MATLAB and its image processing toolbox, this'cookbook'is a collection of 30 practical recipes for image processing, ranging from foundational techniques to recently published algorithms. Presented in a clear and meaningful sequence, these recipes are prepared with the reader in mind, allowing one to focus on particular topics or read as a whole from cover to cover.Key Features: A practical, user-friendly guide that equips researchers and practitioners with the tools to implement efficient image processing workflows in MATLAB. Each recipe is presented through clear, step-by-step instructions and rich visual examples. Each recipe contains its own source code, explanations, and figures, making the book an excellent standalone resource for quick reference. Strategically structured to aid sequential learning, yet with self-contained chapters for those seeking solutions to specific image processing challenges. The book serves as a concise and readable practical reference to deploy image processing pipelines in MATLAB quickly and efficiently. With its accessible and practical approach, the book is a valuable guide for those who navigate this evolving area, including researchers, students, developers, and practitioners in the fields of image processing, computer vision, and image analysis.
- Published
- 2024
41. Fine-Grained Image Analysis: Modern Approaches
- Author
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Xiu-Shen Wei and Xiu-Shen Wei
- Subjects
- Computer vision, Image processing—Digital techniques, Image processing, Pattern recognition systems, Machine learning, Artificial intelligence
- Abstract
This book provides a comprehensive overview of the fine-grained image analysis research and modern approaches based on deep learning, spanning the full range of topics needed for designing operational fine-grained image systems. The author begins by providing detailed background information on FGIA, focusing on recognition and retrieval. The author also provides the fundamentals of convolutional neural networks to further make it easier for readers to understand the technical content in the book. The book introduces the main technical paradigms, technological developments, and representative approaches of fine-grained image recognition and fine-grained image retrieval. The author covers multiple popular research topics and includes cross-domain knowledge. The book also highlights advanced applications and topics for future research.
- Published
- 2023
42. Digital Watermarking for Machine Learning Model : Techniques, Protocols and Applications
- Author
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Lixin Fan, Chee Seng Chan, Qiang Yang, Lixin Fan, Chee Seng Chan, and Qiang Yang
- Subjects
- Machine learning, Data protection, Image processing—Digital techniques, Computer vision, Image processing
- Abstract
Machine learning (ML) models, especially large pretrained deep learning (DL) models, are of high economic value and must be properly protected with regard to intellectual property rights (IPR). Model watermarking methods are proposed to embed watermarks into the target model, so that, in the event it is stolen, the model's owner can extract the pre-defined watermarks to assert ownership. Model watermarking methods adopt frequently used techniques like backdoor training, multi-task learning, decision boundary analysis etc. to generate secret conditions that constitute model watermarks or fingerprints only known to model owners. These methods have little or no effect on model performance, which makes them applicable to a wide variety of contexts. In terms of robustness, embedded watermarks must be robustly detectable against varying adversarial attacks that attempt to remove the watermarks. The efficacy of model watermarking methods is showcased in diverse applications including image classification, image generation, image captions, natural language processing and reinforcement learning. This book covers the motivations, fundamentals, techniques and protocols for protecting ML models using watermarking. Furthermore, it showcases cutting-edge work in e.g. model watermarking, signature and passport embedding and their use cases in distributed federated learning settings.
- Published
- 2023
43. Object Tracking Technology : Trends, Challenges and Applications
- Author
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Ashish Kumar, Rachna Jain, Ajantha Devi Vairamani, Anand Nayyar, Ashish Kumar, Rachna Jain, Ajantha Devi Vairamani, and Anand Nayyar
- Subjects
- Image processing, Image processing—Digital techniques, Computer vision, Machine learning
- Abstract
With the increase in urban population, it became necessary to keep track of the object of interest. In favor of SDGs for sustainable smart city, with the advancement in technology visual tracking extends to track multi-target present in the scene rather estimating location for single target only. In contrast to single object tracking, multi-target introduces one extra step of detection. Tracking multi-target includes detecting and categorizing the target into multiple classes in the first frame and provides each individual target an ID to keep its track in the subsequent frames of a video stream. One category of multi-target algorithms exploits global information to track the target of the detected target. On the other hand, some algorithms consider present and past information of the target to provide efficient tracking solutions. Apart from these, deep leaning-based algorithms provide reliable and accurate solutions. But, these algorithms are computationally slow when applied in real-time. This book presents and summarizes the various visual tracking algorithms and challenges in the domain. The various feature that can be extracted from the target and target saliency prediction is also covered. It explores a comprehensive analysis of the evolution from traditional methods to deep learning methods, from single object tracking to multi-target tracking. In addition, the application of visual tracking and the future of visual tracking can also be introduced to provide the future aspects in the domain to the reader. This book also discusses the advancement in the area with critical performance analysis of each proposed algorithm. This book will be formulated with intent to uncover the challenges and possibilities of efficient and effective tracking of single or multi-object, addressing the various environmental and hardware challenges. The intended audience includes academicians, engineers, postgraduate students, developers, professionals, military personals, scientists, data analysts, practitioners, and people who are interested in exploring more about tracking.· Another projected audience are the researchers and academicians who identify and develop methodologies, frameworks, tools, and applications through reference citations, literature reviews, quantitative/qualitative results, and discussions.
- Published
- 2023
44. Image Watermarking Techniques
- Author
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Talbi Mourad and Talbi Mourad
- Subjects
- Signal processing, Image processing—Digital techniques, Computer vision, Image processing
- Abstract
This book investigates the image watermarking domain, analyzing and comparing image watermarking techniques that exist in current literature. The author's goal is to aid researchers and students in their studies in the vast and important domain of image watermarking, including its advantages and risks. The book has three chapters: image watermarking using data compression; speech modulation for image watermarking; and secure image watermarking based on LWT and SVD.In addition, this book: Investigates the image watermarking domain, analyzing and comparing current image watermarking techniquesIncludes detail on image encryption and mathematical tools used for image watermarkingCovers image watermarking using data compression, speech modulation for image watermarking, and more
- Published
- 2023
45. Data Analysis for Neurodegenerative Disorders
- Author
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Deepika Koundal, Deepak Kumar Jain, Yanhui Guo, Amira S. Ashour, Atef Zaguia, Deepika Koundal, Deepak Kumar Jain, Yanhui Guo, Amira S. Ashour, and Atef Zaguia
- Subjects
- Medical informatics, Image processing—Digital techniques, Computer vision, Image processing, Machine learning, Artificial intelligence—Data processing
- Abstract
This book explores the challenges involved in handling medical big data in the diagnosis of neurological disorders. It discusses how to optimally reduce the number of neuropsychological tests during the classification of these disorders by using feature selection methods based on the diagnostic information of enrolled subjects. The book includes key definitions/models and covers their applications in different types of signal/image processing for neurological disorder data. An extensive discussion on the possibility of enhancing the abilities of AI systems using the different data analysis is included. The book recollects several applicable basic preliminaries of the different AI networks and models, while also highlighting basic processes in image processing for various neurological disorders. It also reports on several applications to image processing and explores numerous topics concerning the role of big data analysis in addressing signal and image processing in various real-world scenarios involving neurological disorders.This cutting-edge book highlights the analysis of medical data, together with novel procedures and challenges for handling neurological signals and images. It will help engineers, researchers and software developers to understand the concepts and different models of AI and data analysis. To help readers gain a comprehensive grasp of the subject, it focuses on three key features:● Presents outstanding concepts and models for using AI in clinical applications involving neurological disorders, with clear descriptions of image representation, feature extraction and selection.● Highlights a range of techniques for evaluating the performance of proposed CAD systems for the diagnosis of neurological disorders.● Examines various signal and image processing methods for efficient decision support systems. Soft computing, machine learning and optimization algorithms are also included to improve the CAD systems used.
- Published
- 2023
46. 3-D Computer Vision : Principles, Algorithms and Applications
- Author
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Yu-Jin Zhang and Yu-Jin Zhang
- Subjects
- Computer vision, Image processing—Digital techniques, Image processing, Computer science, User interfaces (Computer systems), Human-computer interaction
- Abstract
This textbook offers advanced content on computer vision (basic content can be found in its prerequisite textbook, “2D Computer Vision: Principles, Algorithms and Applications”), including the basic principles, typical methods and practical techniques. It is intended for graduate courses on related topics, e.g. Computer Vision, 3-D Computer Vision, Graphics, Artificial Intelligence, etc. The book is mainly based on my lecture notes for several undergraduate and graduate classes I have offered over the past several years, while a number of topics stem from my research publications co-authored with my students. This book takes into account the needs of learners with various professional backgrounds, as well as those of self-learners. Furthermore, it can be used as a reference guide for practitioners and professionals in related fields. To aid in comprehension, the book includes a wealth of self-test questions (with hints and answers). On the one hand, these questions help teachers to carry out online teaching and interact with students during lectures; on the other, self-learners can use them to assess whether they have grasped the key content.
- Published
- 2023
47. Computer Vision : Applications of Visual AI and Image Processing
- Author
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Pancham Shukla, Rajanikanth Aluvalu, Shilpa Gite, Uma Maheswari, Pancham Shukla, Rajanikanth Aluvalu, Shilpa Gite, and Uma Maheswari
- Subjects
- Artificial intelligence, Computer vision, Image processing
- Abstract
This book focuses on the latest developments in the fields of visual AI, image processing and computer vision. It shows research in basic techniques like image pre-processing, feature extraction, and enhancement, along with applications in biometrics, healthcare, neuroscience and forensics. The book highlights algorithms, processes, novel architectures and results underlying machine intelligence with detailed execution flow of models.
- Published
- 2023
48. A Unifying Framework for Formal Theories of Novelty : Discussions, Guidelines, and Examples for Artificial Intelligence
- Author
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Terrance Boult, Walter Scheirer, Terrance Boult, and Walter Scheirer
- Subjects
- Computer vision, Machine learning, Image processing—Digital techniques, Pattern recognition systems, Image processing, Artificial intelligence
- Abstract
This book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning, and control and planning-based systems. Dealing with novelty, things not previously seen by a system, is a critical issue for building vision-systems and general intelligent systems. The book presents examples of using this framework to define and evaluate in multiple domains including image recognition image-based open world learning, hand-writing and author analysis, CartPole Control, Image Captioning, and Monopoly. Chapters are written by well-known contributors to this new and emerging field. In addition, examples are provided from multiple areas, such as machine-learning based control problems, symbolic reasoning, and multi-player games.
- Published
- 2023
49. Convolutional Neural Networks for Medical Applications
- Author
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Teik Toe Teoh and Teik Toe Teoh
- Subjects
- Computer vision, Medical sciences, Artificial intelligence, Machine learning, Image processing, Artificial intelligence—Data processing
- Abstract
Convolutional Neural Networks for Medical Applications consists of research investigated by the author, containing state-of-the-art knowledge, authored by Dr Teoh Teik Toe, in applying Convolutional Neural Networks (CNNs) to the medical imagery domain. This book will expose researchers to various applications and techniques applied with deep learning on medical images, as well as unique techniques to enhance the performance of these networks.Through the various chapters and topics covered, this book provides knowledge about the fundamentals of deep learning to a common reader while allowing a research scholar to identify some futuristic problem areas. The topics covered include brain tumor classification, pneumonia image classification, white blood cell classification, skin cancer classification and diabetic retinopathy detection. The first chapter will begin by introducing various topics used in training CNNs to help readers with common concepts covered across the book. Each chapter begins by providing information about the disease, its implications to the affected and how the use of CNNs can help to tackle issues faced in healthcare. Readers would be exposed to various performance enhancement techniques, which have been tried and tested successfully, such as specific data augmentations and image processing techniques utilized to improve the accuracy of the models.
- Published
- 2023
50. Video Object Segmentation : Tasks, Datasets, and Methods
- Author
-
Ning Xu, Weiyao Lin, Xiankai Lu, Yunchao Wei, Ning Xu, Weiyao Lin, Xiankai Lu, and Yunchao Wei
- Subjects
- Computer vision, Image processing, Image processing—Digital techniques, Computer science, Pattern recognition systems
- Abstract
This book provides a thorough overview of recent progress in video object segmentation, providing researchers and industrial practitioners with thorough information on the most important problems and developed technologies in the area. Video segmentation is a fundamental topic for video understanding in computer vision. Segmenting unique objects in a given video is useful for a variety of applications, including video conference, video editing, surveillance, and autonomous driving. Given the revolution of deep learning in computer vision problems, numerous new tasks, datasets, and methods have been recently proposed in the domain of segmentation. The book includes these recent results and findings in large-scale video object segmentation as well as benchmarks in large-scale human-centric video analysis in complex events. The authors provide readers with a comprehensive understanding of the challenges involved in video object segmentation, as well as the most effective methods for resolving them.
- Published
- 2023
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