Automatic indexing of news video for content-based retrieval

Myung-Sup Yang; Cheol-Jung Yoo; Ok-Bae Chang

doi:10.1117/12.311083

18 June 1998 Automatic indexing of news video for content-based retrieval

Myung-Sup Yang, Cheol-Jung Yoo, Ok-Bae Chang

Proceedings Volume 3422, Input/Output and Imaging Technologies; (1998) https://doi.org/10.1117/12.311083
Event: Asia Pacific Symposium on Optoelectronics '98, 1998, Taipei, Taiwan

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.

Citation Download Citation

Myung-Sup Yang, Cheol-Jung Yoo, and Ok-Bae Chang "Automatic indexing of news video for content-based retrieval", Proc. SPIE 3422, Input/Output and Imaging Technologies, (18 June 1998); https://doi.org/10.1117/12.311083

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KEYWORDS

Video

Image segmentation

Video processing

Image processing

RGB color model

Cameras

Neon

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