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Proceedings Paper

Fast and efficient search for MPEG-4 video using adjacent pixel intensity difference quantization histogram feature
Author(s): Feifei Lee; Koji Kotani; Qiu Chen; Tadahiro Ohmi
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Paper Abstract

In this paper, a fast search algorithm for MPEG-4 video clips from video database is proposed. An adjacent pixel intensity difference quantization (APIDQ) histogram is utilized as the feature vector of VOP (video object plane), which had been reliably applied to human face recognition previously. Instead of fully decompressed video sequence, partially decoded data, namely DC sequence of the video object are extracted from the video sequence. Combined with active search, a temporal pruning algorithm, fast and robust video search can be realized. The proposed search algorithm has been evaluated by total 15 hours of video contained of TV programs such as drama, talk, news, etc. to search for given 200 MPEG-4 video clips which each length is 15 seconds. Experimental results show the proposed algorithm can detect the similar video clip in merely 80ms, and Equal Error Rate (ERR) of 2 % in drama and news categories are achieved, which are more accurately and robust than conventional fast video search algorithm.

Paper Details

Date Published: 26 February 2010
PDF: 6 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75460K (26 February 2010); doi: 10.1117/12.855648
Show Author Affiliations
Feifei Lee, Tohoku Univ. (Japan)
Koji Kotani, Tohoku Univ. (Japan)
Qiu Chen, Tohoku Univ. (Japan)
Tadahiro Ohmi, Tohoku Univ. (Japan)


Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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