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24 June 2005 Fast coarse-to-fine video retrieval via shot-level statistics
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Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59600Q (2005)
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China
We propose a fast coarse-to-fine video retrieval scheme using shot-level spatio-temporal statistics. The proposed scheme consists of a two-step coarse search and a fine search. At the coarse-search stage, the shot-level motion and color distributions are computed as the spatio-temporal features for shot matching. The first-pass coarse search uses the shot-level global statistics to cut down the size of the search space drastically. By adding an adjacent shot of the first query shot, the second-pass coarse-search introduces the "causality" relation between two consecutive shots to improve the search accuracy. As a result, the final fine-search step based on local color features of key-frames of the query shot is performed to further refine the search result. Experimental results show that the proposed methods can achieve good retrieval performance with a much reduced complexity compared to single-pass methods.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yu-Hsuan Ho, Chia-Wen Lin, Jing-Fung Chen, and Hong-Yuan Mark Liao "Fast coarse-to-fine video retrieval via shot-level statistics", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59600Q (24 June 2005);


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