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Proceedings Paper

Automatic indexing of news video for content-based retrieval
Author(s): Myung-Sup Yang; Cheol-Jung Yoo; Ok-Bae Chang
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Paper Abstract

Since it is impossible to automatically parse a general video, we investigated an integrated solution for the content-based news video indexing and the retrieval. Thus, a specific structural video such as news video is parsed, because it is included both temporal and spatial characteristics that the news event with an anchor-person is iteratively appeared, a news icon and a caption are involved in some frame, respectively. To extract automatically the key frames by using the structured knowledge of news, the model used in this paper is consisted of the news event segmentation, caption recognition and search browser module. The following are three main modules represented in this paper: (1) The news event segmentation module (NESM) for both the recognition and the division of an anchor-person shot. (2) The caption recognition module (CRM) for the detection of the caption-frames in a news event, the extraction of their caption region in the frame by using split-merge method, and the recognition of the region as a text with OCR software. 3) The search browser module (SBM) for the display of the list of news events and news captions, which are included in selected news event. However, the SBM can be caused various searching mechanisms.

Paper Details

Date Published: 18 June 1998
PDF: 11 pages
Proc. SPIE 3422, Input/Output and Imaging Technologies, (18 June 1998); doi: 10.1117/12.311083
Show Author Affiliations
Myung-Sup Yang, Chonbuk National Univ. (South Korea)
Cheol-Jung Yoo, Chonbuk National Univ. (South Korea)
Ok-Bae Chang, Chonbuk National Univ. (South Korea)


Published in SPIE Proceedings Vol. 3422:
Input/Output and Imaging Technologies
Yusheng Tim Tsai; Teh-Ming Kung; Jan Larsen, Editor(s)

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