Video OCR for digital news archive

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

183 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 1998 IEEE International Workshop on Content-Based Access of Image and Video Database, CAIVD 1998
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages52-60
Number of pages9
ISBN (Electronic)0818683295, 9780818683299
DOIs
Publication statusPublished - 1998
Externally publishedYes
Event1998 IEEE International Workshop on Content-Based Access of Image and Video Database, CAIVD 1998 - Bombay, India
Duration: 1998 Jan 3 → …

Publication series

NameProceedings - 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

Fingerprint Dive into the research topics of 'Video OCR for digital news archive'. Together they form a unique fingerprint.

  • Cite this

    Sato, T., Kanade, T., Hughes, E. K., & Smith, M. A. (1998). Video OCR for digital news archive. In Proceedings - 1998 IEEE International Workshop on Content-Based Access of Image and Video Database, CAIVD 1998 (pp. 52-60). (Proceedings - 1998 IEEE International Workshop on Content-Based Access of Image and Video Database, CAIVD 1998). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAIVD.1998.646033