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Efficient Detection of Scene Change and Anchorperson Frame in News Video  

Kang, Hyunchul (인천대학교 정보통신공학과)
Lee, Jin-Sung ((주)네오미디어 개발A팀)
Lee, Wanjoo (용인대학교 컴퓨터정보처리학과)
Publication Information
Journal of KIISE:Software and Applications / v.32, no.12, 2005 , pp. 1157-1163 More about this Journal
Abstract
In this paper, an efficient and fast method to segment a video in the MPEG(motion picture expert group) video stream is proposed. For the real time processing of large amount of broadcasting data, we use DC images of I-frames in an MPEG compressed video with minimal decoding. Using the modified histogram comparison which counts on not only luminance but also chrominance information, the scene change detection was performed in the fast and accurate way Also, to discriminate anchorperson frame from non-anchor frame, a neural network method was introduced.
Keywords
MPEG; shot detection; anchorperson; neural network;
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