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Start Over Author "Computer, Society" Journal 2016 ieee international symposium on multimedia (ism)
2 results on '"Computer, Society"'

1. Geometric Compensation of Dynamic Video Projections

Author

Michèle Gouiffès, Aleksandr Setkov, Laboratoire Vision et Ingénierie des Contenus (LVIC), Département Intelligence Ambiante et Systèmes Interactifs (DIASI), Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI), Université Paris-Sud - Paris 11 (UP11)-Sorbonne Université - UFR d'Ingénierie (UFR 919), Sorbonne Université (SU)-Sorbonne Université (SU)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Paris Saclay (COmUE), IEEE Computer Society, Laboratoire d'Intégration des Systèmes et des Technologies (LIST), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Laboratoire d'Intégration des Systèmes et des Technologies (LIST), Université Paris Saclay (COmUE)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université - UFR d'Ingénierie (UFR 919), and Sorbonne Université (SU)-Sorbonne Université (SU)-Université Paris-Saclay-Université Paris-Sud - Paris 11 (UP11)

Subjects
business.industry, Computer science, Frame (networking), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Optical flow, 020207 software engineering, 02 engineering and technology, Spatial Augmented Reality, Visualization, Image (mathematics), Compensation (engineering), Homography compensation, Optical Flow, 0202 electrical engineering, electronic engineering, information engineering, [INFO]Computer Science [cs], 020201 artificial intelligence & image processing, Computer vision, Augmented reality, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], Artificial intelligence, business, Feature Matching, Transformation geometry, Structured light
Abstract

International audience; Projector-camera systems, used in Spatial AugmentedReality, automatically adapt the video projections tothe scene objects according to the visualization conditions.This paper introduces a novel non-invasive (without StructuredLight) method based on a combination of traditionalFeature Matching (FM) and more computationally effectiveOptical Flow (OF). It requires only one projected and oneacquired image at a time in the most difficult case when bothprojected content and geometric transformations changeevery frame. It detects scene changes when OF fails andthus should be replaced by FM. In the experiments, weshow that the method yields a more precise and less shakycompensation for different types of projected videos, and isup to 2.8 times faster than previous FM-based works.

Published
2016

2. Post-Hoc Interactive Analytics of Errors in the Context of a Person Discovery Task

Author

Pierrick Bruneau, Claude Barras, Mickaël Stefas, Hervé Bredin, Johann Poignant, Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI), Université Paris Saclay (COmUE)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université - UFR d'Ingénierie (UFR 919), Sorbonne Université (SU)-Sorbonne Université (SU)-Université Paris-Saclay-Université Paris-Sud - Paris 11 (UP11), and IEEE Computer Society

Subjects
Post hoc, Data curation, business.industry, Computer science, 020207 software engineering, Statistical model, Context (language use), 02 engineering and technology, Space (commercial competition), Machine learning, computer.software_genre, 01 natural sciences, Task (project management), 010104 statistics & probability, Information visualization, Human–computer interaction, Analytics, 0202 electrical engineering, electronic engineering, information engineering, [INFO]Computer Science [cs], Artificial intelligence, 0101 mathematics, business, computer
Abstract

International audience; Part of the research effort in automatic person discovery in multimedia content consists in analyzing the errors made by algorithms. However exploring the space of models relating algorithmic errors in person discovery to intrinsic properties of associated shots (e.g. person facing the camera) - coined as post-hoc analysis in this paper - requires data cura- tion and statistical model tuning, which can be cumbersome. In this paper we present a visual and interactive tool that facilitates this exploration. Adequate statistical building blocks are defined, and coordinated by visual and interactive components inspired from the literature in information visualization. A case study is conducted with multimedia researchers to validate the tool. Real data obtained from the MediaEval person discovery task was used for this experiment. Our approach yielded novel insight that was completely unsuspected previously.

Published
2016

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