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Web-based semantic analysis of chinese news video

Published: 02 November 2006 Publication History

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.

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    Published In

    cover image Guide Proceedings
    PCM'06: Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
    November 2006
    1040 pages
    ISBN:3540487662
    • Editors:
    • Yueting Zhuang,
    • Shi-Qiang Yang,
    • Yong Rui,
    • Qinming He

    Sponsors

    • NSF of China: National Natural Science Foundation of China
    • Zhejiang University: Zhejiang University
    • Insigma Technology Co., Ltd: Insigma Technology Co., Ltd
    • Microsoft Reasearch: Microsoft Reasearch

    Publisher

    Springer-Verlag

    Berlin, Heidelberg

    Publication History

    Published: 02 November 2006

    Author Tags

    1. page layout analysis
    2. semantic analysis
    3. text filtering
    4. video segmentation

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