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115 results on '"Leszczuk, Mikołaj"'

1. User-Generated Content (UGC)/In-The-Wild Video Content Recognition

Author

Leszczuk, Mikołaj, Janowski, Lucjan, Nawała, Jakub, Grega, Michał, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nguyen, Ngoc Thanh, editor, Tran, Tien Khoa, editor, Tukayev, Ualsher, editor, Hong, Tzung-Pei, editor, Trawiński, Bogdan, editor, and Szczerbicki, Edward, editor

Published
2022
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2. Preliminary Study on Video Codec Optimization Using VMAF

Author

Uddin, Syed, Leszczuk, Mikołaj, Grega, Michal, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nguyen, Ngoc Thanh, editor, Tran, Tien Khoa, editor, Tukayev, Ualsher, editor, Hong, Tzung-Pei, editor, Trawiński, Bogdan, editor, and Szczerbicki, Edward, editor

Published
2022
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4. Multimodal Image-Based Indoor Localization with Machine Learning—A Systematic Review.

Author

Łukasik, Szymon, Szott, Szymon, and Leszczuk, Mikołaj

Subjects
COMPUTER vision, TECHNOLOGICAL innovations, MOTION detectors, OPEN scholarship, MACHINE learning
Abstract

Outdoor positioning has become a ubiquitous technology, leading to the proliferation of many location-based services such as automotive navigation and asset tracking. Meanwhile, indoor positioning is an emerging technology with many potential applications. Researchers are continuously working towards improving its accuracy, and one general approach to achieve this goal includes using machine learning to combine input data from multiple available sources, such as camera imagery. For this active research area, we conduct a systematic literature review and identify around 40 relevant research papers. We analyze contributions describing indoor positioning methods based on multimodal data, which involves combinations of images with motion sensors, radio interfaces, and LiDARs. The conducted survey allows us to draw conclusions regarding the open research areas and outline the potential future evolution of multimodal indoor positioning. [ABSTRACT FROM AUTHOR]

Published
2024
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5. Selected Aspects of the New Recommendation on Subjective Methods of Assessing Video Quality in Recognition Tasks

Author

Leszczuk, Mikołaj, Janowski, Lucjan, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, and Paszkiel, Szczepan, editor

Published
2021
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6. Evaluation of Improved Components of AMIS Project for Speech Recognition, Machine Translation and Video/Audio/Text Summarization

Author

Badiola, Aritz, Zorrilla, Amaia Méndez, Garcia-Zapirain Soto, Begonya, Grega, Michał, Leszczuk, Mikołaj, Smaïli, Kamel, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Dziech, Andrzej, editor, Mees, Wim, editor, and Czyżewski, Andrzej, editor

Published
2020
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10. An Integrated AMIS Prototype for Automated Summarization and Translation of Newscasts and Reports

Author

Grega, Michał, Smaïli, Kamel, Leszczuk, Mikołaj, González-Gallardo, Carlos-Emiliano, Torres-Moreno, Juan-Manuel, Linhares Pontes, Elvys, Fohr, Dominique, Mella, Odile, Menacer, Mohamed, Jouvet, Denis, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Choroś, Kazimierz, editor, Kopel, Marek, editor, Kukla, Elżbieta, editor, and Siemiński, Andrzej, editor

Published
2019
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11. Evaluation of Multimedia Content Summarization Algorithms

Author

Komorowski, Artur, Janowski, Lucjan, Leszczuk, Mikołaj, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Choroś, Kazimierz, editor, Kopel, Marek, editor, Kukla, Elżbieta, editor, and Siemiński, Andrzej, editor

Published
2019
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12. Collection, Analysis and Summarization of Video Content

Author

Koźbiał, Arian, Leszczuk, Mikołaj, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Choroś, Kazimierz, editor, Kopel, Marek, editor, Kukla, Elżbieta, editor, and Siemiński, Andrzej, editor

Published
2019
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13. A Proposed Methodology for Subjective Evaluation of Video and Text Summarization

Author

Garcia-Zapirain, Begona, Castillo, Cristian, Badiola, Aritz, Zahia, Sofia, Mendez, Amaia, Langlois, David, Jouvet, Denis, Torres, Juan-Manuel, Leszczuk, Mikołaj, Smaili, Kamel, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Choroś, Kazimierz, editor, Kopel, Marek, editor, Kukla, Elżbieta, editor, and Siemiński, Andrzej, editor

Published
2019
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14. A First Summarization System of a Video in a Target Language

Author

Smaïli, Kamel, Fohr, Dominique, González-Gallardo, Carlos-Emiliano, Grega, Michał, Janowski, Lucjan, Jouvet, Denis, Komorowski, Artur, Koźbiał, Arian, Langlois, David, Leszczuk, Mikołaj, Mella, Odile, Menacer, Mohamed A., Mendez, Amaia, Linhares Pontes, Elvys, SanJuan, Eric, Świst, Damian, Torres-Moreno, Juan-Manuel, Garcia-Zapirain, Begona, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Choroś, Kazimierz, editor, Kopel, Marek, editor, Kukla, Elżbieta, editor, and Siemiński, Andrzej, editor

Published
2019
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16. Objective Video Quality Assessment Method for Object Recognition Tasks.

Author

Leszczuk, Mikołaj, Janowski, Lucjan, Nawała, Jakub, and Boev, Atanas

Subjects
MACHINE learning, COMPUTER vision, OBJECT recognition (Computer vision), QUALITY factor, VIDEOS
Abstract

In the field of video quality assessment for object recognition tasks, accurately predicting the impact of different quality factors on recognition algorithms remains a significant challenge. Our study introduces a novel evaluation framework designed to address this gap by focussing on machine vision rather than human perceptual quality metrics. We used advanced machine learning models and custom Video Quality Indicators to enhance the predictive accuracy of object recognition performance under various conditions. Our results indicate a model performance, achieving a mean square error (MSE) of 672.4 and a correlation coefficient of 0.77, which underscores the effectiveness of our approach in real-world scenarios. These findings highlight not only the robustness of our methodology but also its potential applicability in critical areas such as surveillance and telemedicine. [ABSTRACT FROM AUTHOR]

Published
2024
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20. Video Summarization Framework for Newscasts and Reports – Work in Progress

Author

Leszczuk, Mikołaj, Grega, Michał, Koźbiał, Arian, Gliwski, Jarosław, Wasieczko, Krzysztof, Smaïli, Kamel, Barbosa, Simone Diniz Junqueira, Series editor, Chen, Phoebe, Series editor, Filipe, Joaquim, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Yuan, Junsong, Series editor, Zhou, Lizhu, Series editor, Dziech, Andrzej, editor, and Czyżewski, Andrzej, editor

Published
2017
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22. Detection of Lip Synchronization Artifacts

Author

Fernández, Ignacio Blanco, Leszczuk, Mikołaj, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kotenko, Igor, Series editor, Liu, Ting, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Dziech, Andrzej, editor, Leszczuk, Mikołaj, editor, and Baran, Remigiusz, editor

Published
2015
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27. A First Summarization System of a Video in a Target Language

Author

Smaïli, Kamel, primary, Fohr, Dominique, additional, González-Gallardo, Carlos-Emiliano, additional, Grega, Michał, additional, Janowski, Lucjan, additional, Jouvet, Denis, additional, Komorowski, Artur, additional, Koźbiał, Arian, additional, Langlois, David, additional, Leszczuk, Mikołaj, additional, Mella, Odile, additional, Menacer, Mohamed A., additional, Mendez, Amaia, additional, Linhares Pontes, Elvys, additional, SanJuan, Eric, additional, Świst, Damian, additional, Torres-Moreno, Juan-Manuel, additional, and Garcia-Zapirain, Begona, additional

Published
2018
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34. Subjective Evaluation of Visual Quality and Simulator Sickness of Short 360∘ Videos: ITU-T Rec. P.919

Author

Gutiérrez Sánchez, Jesús, Pérez García, Pablo, Orduna Cortillas, Marta, Singla, Ashutosh, Cortes Sánchez, Carlos, Mazumdar, Pramit, Viola, Irene, Brunnström, Kjell, Battisti, Federica, Cieplińska, Natalia, Juszka, Dawid, Janowski, Lucjan, Leszczuk, Mikołaj, Adeyemi-Ejeye, Anthony, Hu, Yaosi, Chen, Zhenzhong, Van Wallendael, Glenn, Lambert, Peter, Díaz Martín, César, Hedlund, John, Hamsis, Omar, Fremerey, Stephan, Hofmeyer, Frank, Raake, Alexander, César, Pablo, Carli, Marco, García Santos, Narciso, Gutiérrez Sánchez, Jesús, Pérez García, Pablo, Orduna Cortillas, Marta, Singla, Ashutosh, Cortes Sánchez, Carlos, Mazumdar, Pramit, Viola, Irene, Brunnström, Kjell, Battisti, Federica, Cieplińska, Natalia, Juszka, Dawid, Janowski, Lucjan, Leszczuk, Mikołaj, Adeyemi-Ejeye, Anthony, Hu, Yaosi, Chen, Zhenzhong, Van Wallendael, Glenn, Lambert, Peter, Díaz Martín, César, Hedlund, John, Hamsis, Omar, Fremerey, Stephan, Hofmeyer, Frank, Raake, Alexander, César, Pablo, Carli, Marco, and García Santos, Narciso

Abstract

Recently an impressive development in immersive technologies, such as Augmented Reality (AR), Virtual Reality (VR) and 360 video, has been witnessed. However, methods for quality assessment have not been keeping up. This paper studies quality assessment of 360 video from the cross-lab tests (involving ten laboratories and more than 300 participants) carried out by the Immersive Media Group (IMG) of the Video Quality Experts Group (VQEG). These tests were addressed to assess and validate subjective evaluation methodologies for 360 video. Audiovisual quality, simulator sickness symptoms, and exploration behavior were evaluated with short (from 10 seconds to 30 seconds) 360 ∘ sequences. The following factors’ influences were also analyzed: assessment methodology, sequence duration, Head-Mounted Display (HMD) device, uniform and non-uniform coding degradations, and simulator sickness assessment methods. The obtained results have demonstrated the validity of Absolute Category Rating (ACR) and Degradation Category Rating (DCR) for subjective tests with 360 videos, the possibility of using 10-second videos (with or without audio) when addressing quality evaluation of coding artifacts, as well as any commercial HMD (satisfying minimum requirements). Also, more efficient methods than the long Simulator Sickness Questionnaire (SSQ) have been proposed to evaluate related symptoms with 360 videos. These results have been instrumental for the development of the ITU-T Recommendation P.919. Finally, the annotated dataset from the tests is made publicly available for the research community.

Published
2022

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