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MMM
2009
Springer

Large Scale Concept Detection in Video Using a Region Thesaurus

9 years 10 months ago
Large Scale Concept Detection in Video Using a Region Thesaurus
This paper presents an approach on high-level feature detection within video documents, using a Region Thesaurus. A video shot is represented by a single keyframe and MPEG-7 features are extracted locally, from coarse segmented regions. Then a clustering algorithm is applied on those extracted regions and a region thesaurus is constructed to facilitate the description of each keyframe at a higher level than the low-level descriptors but at a lower than the high-level concepts. A model vector representation is formed and several high-level concept detectors are appropriately trained using a global keyframe annotation. The proposed approach is thoroughly evaluated on the TRECVID 2007 development data for the detection of nine high level concepts, demonstrating sufficient performance on large data sets.
Evaggelos Spyrou, Giorgos Tolias, Yannis S. Avrith
Added 17 Mar 2010
Updated 17 Mar 2010
Type Conference
Year 2009
Where MMM
Authors Evaggelos Spyrou, Giorgos Tolias, Yannis S. Avrithis
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