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A Logo Transition Detection Method for Opaque and Semi-Transparent TV Logo Recognition in Video  

Roh, Myung-Cheol (고려대학교 컴퓨터.통신공학부)
Kang, Seung-Yeon (고려대학교 컴퓨터.통신공학부)
Lee, Seong-Whan (고려대학교 컴퓨터.통신공학부)
Publication Information
Journal of KIISE:Software and Applications / v.35, no.12, 2008 , pp. 753-763 More about this Journal
Abstract
The amount of UCCs (User Created Contents) has been increasing rapidly and is associated with a serious copyright problem. Automatic logo detection in videos is an efficient means of overcoming the copyright problem. However, logos have varying characteristics, which make logo detection and recognition very difficult. Especially, there are frequent logo transitions in a video, comprising several video contents. This disrupts accurate video segmentation based on logos. Therefore, this paper proposes an accurate logo transition detection method for recognizing logos in digital video contents. The proposed method accurately segments a video according to logo and efficiently recognizes various types of logos. The experimental results demonstrate the effectiveness of the proposed method for logo detection and video segmentation according to logo.
Keywords
Logo transition detection; logo detection and recognition; sub-video merging; video segmentation based on logos;
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