Multiple feature fusion via hierarchical matching for TV logo recognition

TV logo recognition plays an important role in video content understanding. So far, Real-time TV logo recognition under complex background based on single frame is still a very challenge task. By analyzing the characteristics of TV logo, a new TV logo recognition algorithm based on multiple feature fusion via hierarchical matching was proposed in this paper. The recognition process consisted of three stages. Firstly, a coarse matching based on frame differentiation and normalized cross correlation coefficient was employed to narrow down the candidate space significantly; then a fine matching based on HOG was used to describe the contours features of candidate logos; finally, the above features were fused to get better recognition performance. Experiment results showed the algorithm proposed had a remarkable performance in TV logo recognition under complex background based on single frame.