Abstract
It is a challenging issue to analyze video content for video mining due to the difficulty in video representation. A hierarchical model of video representation is proposed with a schema for content-based analysis of news video in this paper. The research problem targeted in this paper is to mine a massive video database to retrieve specific clip based on content defined by users. This is frequently encountered in entertainment and video editing. A novel solution to this problem is developed in this paper, in which the consecutive news video is segmented into shots, scenes and news items using multimodal features based on the hierarchical model. To summarize the content of video, a video abstract is developed. The experimental evaluation demonstrates the effectiveness of the approaches discussed in this paper. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Yu, J., He, Y., & Li, S. (2005). Content-based news video mining. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3584 LNAI, pp. 431–438). Springer Verlag. https://doi.org/10.1007/11527503_52
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