A Well-Behaved TV Logo Recognition Method Using Heuristic Optimality Checked Basis Pursuit Denoising

摘要

Since video logos are embedded into complex background and normally hollow or translucent, traditional video logo recognition techniques are facing issues such as difficulties in extracting image features, high complexity of matching algorithm and feature dimension disaster. A well-behaved TV logo recognition method using heuristic optimality checked basis pursuit denoising is firstly proposed in the paper. Original pixels are directly used for recognition in this method, avoiding the difficulties in extracting image features as well as being able to recognize hollow and translucent logos with relatively better robustness. Experiments have shown that by applying this method, average logo recognition time is within 30 ms for a single-frame video with recognition accuracy more than 98 %.