Abstract
It is necessary for various multimedia database applications to develop efficient and fast storage, indexing, browsing, and retrieval of video. We make a cataloging system, which has important information of video data. In this paper, we proposed a method to process huge amount of broadcasting data. It can detect scene-change quickly and effectively for MPEG stream. To extract the DC-image, minimal decoding is employed form MPEG-1 compressed domain. Scene-change is detected by the modified histogram comparative method that combines luminance and color component. A neural network is used to judge whether it is scene-change with an anchorperson and to raise precision of an anchorperson scene extraction.
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© 2004 Springer-Verlag Berlin Heidelberg
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Lee, W., Kim, H., Kang, H., Lee, J., Kim, Y., Jeon, S. (2004). Video Cataloging System for Real-Time Scene Change Detection of News Video. In: Klette, R., Žunić, J. (eds) Combinatorial Image Analysis. IWCIA 2004. Lecture Notes in Computer Science, vol 3322. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30503-3_54
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DOI: https://doi.org/10.1007/978-3-540-30503-3_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23942-0
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