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ECCV
2010
Springer

Compact video description for copy detection with precise temporal alignment

14 years 21 days 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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