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 30ms for a single-frame video with recognition accuracy more than 98 %.
CITATION STYLE
Xu, J., He, M., & Bao, X. (2015). A well-behaved TV logo recognition method using heuristic optimality checked basis pursuit denoising. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9217, pp. 529–540). Springer Verlag. https://doi.org/10.1007/978-3-319-21978-3_46
Mendeley helps you to discover research relevant for your work.