DocumentCode
2486503
Title
Video caption duration extraction
Author
Bai, Hongliang ; Sun, Jun ; Naoi, Satoshi ; Katsuyama, Yutaka ; Hotta, Yoshinobu ; Fujimoto, Katsuhito
Author_Institution
Fujitsu Res.&Dev. Center Co. Ltd., Beijing
fYear
2008
fDate
8-11 Dec. 2008
Firstpage
1
Lastpage
4
Abstract
Caption detection in the video is an active research topic in recent years. In the conventional methods, one of most difficult problems is to effectively and quickly extract the durations of the different-size captions in the complex background. To solve this problem, a novel and effective method is presented to locate and track the captions in the video. The main contributions are: (1)present a multi-scale Harris-corner based method to detect the initial position of the caption (2)propose the SGF (Steady Global Feature) to determine the caption duration. Extensive experiments demonstrate the effectiveness of the proposed method.
Keywords
feature extraction; video signal processing; caption detection; complex background; different-size captions; multiscale Harris-corner based method; steady global feature; video caption duration extraction; Algorithm design and analysis; Computer vision; Detection algorithms; Feature extraction; Gas detectors; Image segmentation; Laboratories; Robustness; Sampling methods; Voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location
Tampa, FL
ISSN
1051-4651
Print_ISBN
978-1-4244-2174-9
Electronic_ISBN
1051-4651
Type
conf
DOI
10.1109/ICPR.2008.4761671
Filename
4761671
Link To Document