Fusion in Computer Vision Understanding Complex Visual Content
Visual content understanding is a complex and important challenge for applications in automatic multimedia information indexing, medicine, robotics, and surveillance. Yet the performance of such systems can be improved by the fusion of individual modaliti
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Bogdan Ionescu Jenny Benois-Pineau Tomas Piatrik Georges Quénot Editors
Fusion in Computer Vision Understanding Complex Visual Content
Advances in Computer Vision and Pattern Recognition
For further volumes: http://www.springer.com/series/4205
Bogdan Ionescu Jenny Benois-Pineau Tomas Piatrik Georges Quénot •
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Editors
Fusion in Computer Vision Understanding Complex Visual Content
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Editors Bogdan Ionescu University Politehnica of Bucharest Bucharest Romania
Tomas Piatrik Queen Mary University of London London UK
Jenny Benois-Pineau University of Bordeaux Talence France
Georges Quénot Laboratory of Informatics of Grenoble Grenoble France
Series editors Sameer Singh Rail Vision Europe Ltd. Castle Donington Leicestershire UK
Sing Bing Kang Interactive Visual Media Group Microsoft Research Redmond, WA USA
ISSN 2191-6586
ISSN 2191-6594 (electronic)
Advances in Computer Vision and Pattern Recognition ISBN 978-3-319-05695-1 ISBN 978-3-319-05696-8 DOI 10.1007/978-3-319-05696-8 Springer Cham Heidelberg New York Dordrecht London
(eBook)
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