doi: 10.7763/IJET.2011.V3.239
Video OCR for Video Indexing
- 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
How to Cite
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).



