Fast coarse-to-fine video retrieval via shot-level statistics

Yu-Hsuan Ho; Chia-Wen Lin; Jing-Fung Chen; Hong-Yuan Mark Liao

doi:10.1117/12.631379

24 June 2005 Fast coarse-to-fine video retrieval via shot-level statistics

Yu-Hsuan Ho, Chia-Wen Lin, Jing-Fung Chen, Hong-Yuan Mark Liao

Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59600Q (2005) https://doi.org/10.1117/12.631379
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

Abstract

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.

Citation Download Citation

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); https://doi.org/10.1117/12.631379

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KEYWORDS

Video

Databases

Feature extraction

Video compression

Algorithm development

Cameras

Chromium

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