Video OCR for digital news archive

T. Sato, T. Kanade, E. K. Hughes, M. A. Smith

研究成果: Conference contribution

184 被引用数 (Scopus)

抄録

Video OCR is a technique that can greatly help to locate topics of interest in a large digital news video archive via the automatic extraction and reading of captions and annotations. News captions generally provide vital search information about the video being presented, the names of people and places or descriptions of objects. In this paper, two difficult problems of character recognition for videos are addressed: low resolution characters and extremely complex backgrounds. We apply an interpolation filter, multi-frame integration and a combination of four filters to solve these problems. Segmenting characters is done by a recognition-based segmentation method and intermediate character recognition results are used to improve the segmentation. The overall recognition results are good enough for use in news indexing. Performing video OCR on news video and combining its results with other video understanding techniques will improve the overall understanding of the news video content.

本文言語English
ホスト出版物のタイトルProceedings - 1998 IEEE International Workshop on Content-Based Access of Image and Video Database, CAIVD 1998
出版社Institute of Electrical and Electronics Engineers Inc.
ページ52-60
ページ数9
ISBN(電子版)0818683295, 9780818683299
DOI
出版ステータスPublished - 1998
外部発表はい
イベント1998 IEEE International Workshop on Content-Based Access of Image and Video Database, CAIVD 1998 - Bombay, India
継続期間: 1998 1 3 → …

出版物シリーズ

名前Proceedings - 1998 IEEE International Workshop on Content-Based Access of Image and Video Database, CAIVD 1998

Conference

Conference1998 IEEE International Workshop on Content-Based Access of Image and Video Database, CAIVD 1998
CountryIndia
CityBombay
Period98/1/3 → …

ASJC Scopus subject areas

  • Information Systems
  • Media Technology
  • Library and Information Sciences

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