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Fast Video Detection Using Temporal Similarity Extraction of Successive Spatial Features  

Cho, A-Young (인하대학교 전자공학과 멀티미디어 연구실)
Yang, Won-Keun (인하대학교 전자공학과 멀티미디어 연구실)
Cho, Ju-Hee (인하대학교 전자공학과 멀티미디어 연구실)
Lim, Ye-Eun (인하대학교 전자공학과 멀티미디어 연구실)
Jeong, Dong-Seok (인하대학교 전자공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.35, no.11C, 2010 , pp. 929-939 More about this Journal
Abstract
The growth of multimedia technology forces the development of video detection for large database management and illegal copy detection. To meet this demand, this paper proposes a fast video detection method to apply to a large database. The fast video detection algorithm uses spatial features using the gray value distribution from frames and temporal features using the temporal similarity map. We form the video signature using the extracted spatial feature and temporal feature, and carry out a stepwise matching method. The performance was evaluated by accuracy, extraction and matching time, and signature size using the original videos and their modified versions such as brightness change, lossy compression, text/logo overlay. We show empirical parameter selection and the experimental results for the simple matching method using only spatial feature and compare the results with existing algorithms. According to the experimental results, the proposed method has good performance in accuracy, processing time, and signature size. Therefore, the proposed fast detection algorithm is suitable for video detection with the large database.
Keywords
Video Signature; Spatial Feature; Temporal Feature; Video Copy Detection;
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