TY - GEN
T1 - Video caption duration extraction
AU - Bai, Hongliang
AU - Sun, Jun
AU - Naoi, Satoshi
AU - Katsuyama, Yutaka
AU - Hotta, Yoshinobu
AU - Fujimoto, Katsuhito
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77957934037&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77957934037&partnerID=8YFLogxK
U2 - 10.1109/icpr.2008.4761671
DO - 10.1109/icpr.2008.4761671
M3 - Conference contribution
AN - SCOPUS:77957934037
SN - 9781424421756
T3 - Proceedings - International Conference on Pattern Recognition
BT - 2008 19th International Conference on Pattern Recognition, ICPR 2008
PB - Institute of Electrical and Electronics Engineers Inc.
ER -