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신경망을 이용한 효율적인 비디오 컨텐츠 분류 방법

Title
신경망을 이용한 효율적인 비디오 컨텐츠 분류 방법
Other Titles
An Effective Classification Method of Video Contents Using a Neural-Network
Author
박성한
Issue Date
2001-06
Publisher
대한전자공학회
Citation
대한전자공학회 종합 학술 대회 논문집 (하계) 2001, Vol.4 : 신호 처리 소사이어티, v. 24, no. 1, page. 109-112
Abstract
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 & 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 vicep contents.
URI
https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE06329720https://repository.hanyang.ac.kr/handle/20.500.11754/158220
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ETC[S] > 연구정보
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