대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)
- 대한전자공학회 2001년도 하계종합학술대회 논문집(4)
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- Pages.109-112
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- 2001
신경망을 이용한 효율적인 비디오 컨텐츠 분류 방법
An Effective Classification Method of Video Contents Using a Neural-Network
초록
This paper proposes a method to classify different video contents using features of digital video. Classified video types are the news, drama, show, sports, and talk program. Features, such as intra-coded macroblock number St motion vector in P-picture in MPEG domain are used. The frame difference of YCbCr is also employed as a measure of classification. We detect the occurrences of cuts in a video for a measure of classification. Finally, back-propagation neural-network of 3 layers is used to classify video contents.
키워드