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Proceedings Paper

Content-based news video story segmentation and video retrieval
Author(s): Huayong Liu; Dongru Zhou
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Paper Abstract

In this paper, we first define the basic structure of news video databases system, the system is developed for content-based broadcast news video browsing, and users can use this system to fmd the news story what they want to see quickly. And then we introduce the basic ideas of key techniques — text extraction and speech recognition, etc, which realize news video story segmentation and video retrieval. In this article, first, we use image analysis technology to detect the frames that contain the texts or the close captions, and we use the video OCR technology to detect the texts of these frames, which provides a good source of textual information for story segmentation and classification. The speech digital processing technology is also used to find the boundaries of the news video story and the speech recognition technology is used to extract the voice texts of the anchorperson and also used to classify the stories that are segmented from the news video. At last, we give typical experiment results.

Paper Details

Date Published: 31 July 2002
PDF: 7 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477111
Show Author Affiliations
Huayong Liu, Wuhan Univ. (China)
Dongru Zhou, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics
Wei Sui, Editor(s)

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