Title
Video OCR for Digital News Archive
Abstract
A technique that can greatly help to locate topics of interest in a large digital news video archive is the automatic extraction and reading of captions and annotations, which we call, Video OCR. 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 analysis techniques will improve the overall understanding of the news video content.
Year
DOI
Venue
1998
10.1109/CAIVD.1998.646033
Bombay
Keywords
Field
DocType
video ocr,intermediate character recognition result,news video content,news indexing,character recognition,segmenting character,large digital news video,news video,overall recognition result,digital news archive,video analysis technique,indexation,interpolation,computer science,image segmentation,low resolution,optical character recognition,layout,indexing,data mining,news,filter,segmentation,image resolution,video compression,brightness,video,feature extraction
Computer vision,Market segmentation,Information retrieval,Segmentation,Computer science,Interpolation,Search engine indexing,Optical character recognition,Feature extraction,Image segmentation,Video tracking,Artificial intelligence
Conference
ISBN
Citations 
PageRank 
0-8186-8329-5
152
23.66
References 
Authors
11
4
Search Limit
100152
Name
Order
Citations
PageRank
Toshio Sato125834.34
Takeo Kanade2250734203.02
Ellen K. Hughes326033.52
Michael A. Smith4965159.32