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Automatic Video Genre Classification Method in MPEG compressed domain  

Kim, Tae-Hee (인하대학교 전자공학과)
Lee, Woong-Hee (인하대학교 전자공학과)
Jeong, Dong-Seok (인하대학교 전자공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.27, no.8A, 2002 , pp. 836-845 More about this Journal
Abstract
Video summary is one of the tools which can provide the fast and effective browsing for a lengthy video. Video summary consists of many key-frames that could be defined differently depending on the video genre it belongs to. Consequently, the video summary constructed by the uniform manner might lead into inadequate result. Therefore, identifying the video genre is the important first step in generating the meaningful video summary. We propose a new method that can classify the genre of the video data in MPEC compressed bit-stream domain. Since the proposed method operates directly on the compressed bit-stream without decoding the frame, it has merits such as simple calculation and short processing time. In the proposed method, only the visual information is utilized through the spatial-temporal analysis to classify the video genre. Experiments are done for 6 genres of video: Cartoon, commercial, Music Video, News, Sports, and Talk Show. Experimental result shows more than 90% of accuracy in genre classification for the well -structured video data such as Talk Show and Sports.
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