Web-Based Semantic Analysis of Chinese News Video

Huamin Feng, Zongqiang Pang, Kun Qiu, Guosen Song

Abstract: 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.