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ECCV
2010
Springer

Compact video description for copy detection with precise temporal alignment

9 years 3 months ago
Compact video description for copy detection with precise temporal alignment
This paper introduces a very compact yet discriminative video description, which allows example-based search in a large number of frames corresponding to thousands of hours of video. Our description extracts one descriptor per indexed video frame by aggregating a set of local descriptors. These frame descriptors are encoded using a time-aware hierarchical indexing structure. A modified temporal Hough voting scheme is used to rank the retrieved database videos and estimate segments in them that match the query. If we use a dense temporal description of the videos, matched video segments are localized with excellent precision. Experimental results on the Trecvid 2008 copy detection task and a set of 38000 videos from YouTube show that our method offers an excellent trade-off between search accuracy, efficiency and memory usage.
Added 07 Jul 2010
Updated 07 Jul 2010
Type Conference
Year 2010
Where ECCV
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