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标 题: Content-based news video Mining(SCI 收录,EI收录)
作 者: Yu Junqing, He Yunfeng, Li Shijun
会议 / 期刊: Lecture Notes in Artificial Intelligence, 2005, 3553: 431-438
发 表 时 间: 2005年
下 载 地 址: 点击下载
论文摘要
It is a challenging issue to analyze video content for video mining due to the difficulty in video representation. A hierarchi
cal 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. T
his 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 hierarchi
cal model. To summarize the content of video, a video abstract is developed. The experimental evaluation demonstrates the effecti
veness of the approaches discussed in this paper.

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