Abstract : We propose a framework for surveillance video indexing and retrieval. In this paper, we focus on the following features: (1) combine recognized video contents (output from a video analysis module) with visual words (computed over all the raw video frames) to enrich the video indexation in a complimentary way; using this scheme user can make queries about objects of interest even when the video analysis output is not available; (2) support an interactive feature generation (currently color histogram and trajectory) that gives a facility for users to make queries at different levels according to the a priori available information and the expected results from retrieval; (3) develop a relevance feedback module adapted to the proposed indexing scheme and the specific properties of surveillance videos for the video surveillance context. Results emphasing these three aspects prove a good integration of video analysis for video surveillance and interactive indexing and retrieval.
https://hal.inria.fr/inria-00331272
Contributor : Thi Lan Le
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Submitted on : Thursday, October 16, 2008 - 9:57:23 AM
Last modification on : Tuesday, July 24, 2018 - 3:48:06 PM
Long-term archiving on : Monday, June 7, 2010 - 6:46:31 PM
Thi Lan Le, Alain Boucher, Monique Thonnat, François Bremond. A FRAMEWORK FOR SURVEILLANCE VIDEO INDEXING AND RETRIEVAL. International Workshop on Content Based Multimedia Indexing, Jun 2008, London, United Kingdom. ⟨inria-00331272⟩
