Web-based semantic analysis of Chinese news video

被引：0
|
作者：
Feng, Huamin [1 ]
Pang, Zongqiang
Qiu, Kun
Song, Guosen
机构：
[1] BESTI, Key Lab Secur & Secur Informat, Beijing 100070, Peoples R China
[2] YanShan Univ, Sch Informat Sci & Engn, Qin Huangdao 066004, Peoples R China
来源：
Advances in Multimedia Information Processing - PCM 2006, Proceedings | 2006年 / 4261卷
关键词：
semantic analysis; video segmentation; page layout analysis; text filtering;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The semantic analysis of the Chinese news video with the help of World Wide Web is proposed. First, we segment the news video into a series of story units. Second, we extract the key phrases from the corresponding ASR transcript of news story, and optimize the key phrases through computing both the correlation among key phrases and the correlation between key phrases and event. Finally, we get the news Web-page corresponding to the event from World Wide Web via the search engine, and obtain the information of news video through analyzing the news Web-page. In order to extract effectively the searching key phrases from the ASR transcription containing mistakes, this paper also presents a novel method of optimizing key phrase for searching, the experiment result with the set of Chinese news video (CCTV4_NEWS) from the TRECVID2005 shows that our approach is effective.
引用
收藏
页码：502 / 509
页数：8
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