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General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. Eng. Technol.
    • Frequency:  Quarterly 
    • DOI: 10.7763/IJET
    • APC: 500 USD
    • Managing Editor: Ms. Isa Yuan 
    • Abstracting/ Indexing:  CNKI,  Google Scholar, Crossref, EBSCO  etc.
    • E-mail: ijet_Editor@126.com
IJET 2011 Vol.3(3): 287-289
doi: 10.7763/IJET.2011.V3.239

Video OCR for Video Indexing

Sankirti S. , P. M. Kamade

  • the Computer Department, Sinhagad College of engineering, Pune

Abstract

Video OCR is a technique that can greatly help to locate the topics of interest in video via the automatic extraction and reading of captions and annotations. Text in video can provide key indexing information. Recognizing such text for search application is critical. Major difficult problem for character recognition for videos is degraded and deformated characters, low resolution characters or very complex background. To tackle the problem preprocessing on text image plays vital role. Most of the OCR engines are working on the binary image so to find a better binarization procedure for image to get a desired result is important. Accurate binarization process minimizes the error rate of video OCR.

Keywords

  • Video OCR
  • Binarization
  • video Text
  • video indexing
239-T666

How to Cite

Copied

Sankirti S. and P. M. Kamade, "Video OCR for Video Indexing," International Journal of Engineering and Technology, vol. 3, no. 3, pp. 287-289, 2011. https://doi.org/ 10.7763/IJET.2011.V3.239

Copyright & License

Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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