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Proceedings Paper

Detection and retrieval of captions in news video
Author(s): Ming Luo; Xuesheng Bai; Guang-you Xu
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Paper Abstract

Generating semantically meaningful content of news video has been increasingly spotlighted. Captions in video include useful information for automatic annotation and indexing. Unfortunately, there are difficulties in retrieving captions for most real applications because of the following factors: low resolution characters and extremely complex backgrounds. This paper proposes a novel local mutation-based method to solve these problems. We detect and locate captions according to shape-regularity and connectivity of the local mutation region. The overall experimental results show that our approach is general, effective, real time and robust enough for caption detection and retrieval, and farther for use in news indexing.

Paper Details

Date Published: 25 September 2001
PDF: 6 pages
Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); doi: 10.1117/12.441561
Show Author Affiliations
Ming Luo, Tsinghua Univ. (United States)
Xuesheng Bai, Tsinghua Univ. (China)
Guang-you Xu, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 4553:
Visualization and Optimization Techniques
Yair Censor; Mingyue Ding, Editor(s)

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