Referenced Items are not available for this document.
We present a system developed for content-based broadcast news video browsing for home users. There are three main factors that distinguish our work from other similar ones. First, we have integrated the image and audio analysis results in identifying news segments. Second, we use the video OCR technology to detect text from frames, which provides a good source of textual information for story classification when transcripts and close captions are not available. Finally, natural language processing (NLP) technologies are used to perform automated categorization of news stories based on the texts obtained from close caption or video OCR process. Based on these video structure and content analysis technologies, we have developed two advanced video browsers for home users: intelligent highlight player and HTML-based video browser
Published in:
Image Processing, 2000. Proceedings. 2000 International Conference on
(Volume:3
)
Date of Conference: 2000
- Page(s):
- 520 - 523 vol.3
- Meeting Date :
- 10 Sep 2000-13 Sep 2000
- ISSN :
- 1522-4880
- Print ISBN:
- 0-7803-6297-7
- INSPEC Accession Number:
- 7005409
- Conference Location :
- Vancouver, BC
- Digital Object Identifier :
- 10.1109/ICIP.2000.899482
- Product Type:
- Conference Publications
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