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2011 IEEE International Conference on Multimedia and Expo (2011)
Barcelona
July 11, 2011 to July 15, 2011
ISSN: 1945-7871
ISBN: 978-1-61284-348-3
pp: 1-4
Ryota Mase , Information & Media Processing Labs., NEC Corporation, 1753, Shimonumabe, Nakahara-Ku, Kawasaki, Kanagawa 211-8666, Japan
Ryoma Oami , Information & Media Processing Labs., NEC Corporation, 1753, Shimonumabe, Nakahara-Ku, Kawasaki, Kanagawa 211-8666, Japan
Toshiyuki Nomura , Information & Media Processing Labs., NEC Corporation, 1753, Shimonumabe, Nakahara-Ku, Kawasaki, Kanagawa 211-8666, Japan
ABSTRACT
We propose a credit-title detection method of video contents based on estimation of superimposed region using character density distribution. Copyright information of video contents is manually extracted for the secondary use of those contents, and its cost is highly expensive. Therefore, automatic detection of credit titles that contain copyright information is highly demanded. However, accuracy of conventional methods is usually insufficient for this purpose. Our method first estimates credit-title-superimposed region based on character density distribution calculated in advance by using many video contents. Then, credit titles are detected in the estimated region. The experiment results show that proposed method improves both recall and precision rates compared to a conventional method. Furthermore, the processing time of the proposed method is less than half that of the conventional method for all contents.
INDEX TERMS
copyright, object detection, text analysis, video signal processing
CITATION

R. Mase, R. Oami and T. Nomura, "Credit-title detection of video contents based on estimation of superimposed region using character density distribution," 2011 IEEE International Conference on Multimedia and Expo(ICME), Barcelona, 2011, pp. 1-4.
doi:10.1109/ICME.2011.6012129
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