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Audio Visual Technologies Group

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Distributed video coding: Selecting the most promising application scenarios

Distributed video coding: Selecting the most promising application scenarios https://gtav.upc.edu/en/publications/journal-papers/distributed-video-coding-selecting-the-most-promising-application-scenarios/view https://gtav.upc.edu/++resource++plone-logo.svg

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Distributed video coding: Selecting the most promising application scenarios

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Distributed monoview and multiview video coding
Fully automatic face recognition system using a combined audio-visual approach
ViBE: A compressed video database structured for active browsing and search
Audio to the rescue
Automatic Face Recognition for Video Indexing Applications
Distributed video coding: Selecting the most promising application scenarios
Distributed coding using punctured quasi-arithmetic codes for memory and memoryless sources
Automatic summarization of soccer highlights using audio-visual descriptors

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