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Automatic Caption Detection in Video Frames Based on Support Vector Machine.

Authors :
Jun Wang
Xiaofeng Liao
Zhang Yi
Jianfeng Xu
Shaofa Li
Source :
Advances in Neural Networks - ISNN 2005 (9783540259138); 2005, p257-261, 5p
Publication Year :
2005

Abstract

Video captions can be used to index large video archives in digital libraries. In this paper, an algorithm for detecting captions in video frames using support vector machine (SVM) is proposed. First, the input video frame is divided into square sub-blocks and a trained SVM is used to identify whether each sub-block is a caption block or not. Second, horizontal projection and vertical projection are performed to locate the candidate caption regions. Finally, false alarms are reduced by caption region verification. Experimental results show that the algorithm has a low missed rate and false alarm rate. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540259138
Database :
Supplemental Index
Journal :
Advances in Neural Networks - ISNN 2005 (9783540259138)
Publication Type :
Book
Accession number :
32979895
Full Text :
https://doi.org/10.1007/11427445_41