Spatial HOG based TV logo detection

Authors:
Xishan Zhang;Dongming Zhang;Fei Liu;Yongdong Zhang;Yi Liu;Jintao Li
Affiliations:
Graduate University of Chinese Academy of Sciences, Beijing, China;Institute of Computing Technology, Beijing, China;Graduate University of Chinese Academy of Sciences, Beijing, China;Institute of Computing Technology, Beijing, China;Graduate University of Chinese Academy of Sciences, Beijing, China;Institute of Computing Technology, Beijing, China
Venue:
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Year:
2013

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Abstract

Most existing TV logo detection methods use temporal correlation of multiple consecutive frames. However, these methods cannot meet the need of real-time system. This paper considers a robust detection method based on single frame. Our TV logo detecting method takes the spatial information of all matching patches as a whole, and presents a new descriptor SHOG (Spatial HOG) to formulate the spatial distribution. It is compact but informative. The proposed geometry voting method achieves fast locating TV logo with geometry verification in the step of detection, which is also competent for the detection of semi-transparent and hollow TV logos. Experiments show that SHOG is robust to occlusion and small deviation of the key points' position and our proposed method outperforms the state-of-art local feature based template matching method for logo detection as performance and speed concerned.