Paper
26 February 2010 Fast and efficient search for MPEG-4 video using adjacent pixel intensity difference quantization histogram feature
Feifei Lee, Koji Kotani, Qiu Chen, Tadahiro Ohmi
Author Affiliations +
Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75460K (2010) https://doi.org/10.1117/12.855648
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Feifei Lee, Koji Kotani, Qiu Chen, and Tadahiro Ohmi "Fast and efficient search for MPEG-4 video using adjacent pixel intensity difference quantization histogram feature", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75460K (26 February 2010); https://doi.org/10.1117/12.855648
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KEYWORDS
Video

Video compression

Databases

Quantization

Genetic algorithms

Detection and tracking algorithms

Facial recognition systems

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