This paper presents an algorithm for reading two digital video clocks of broadcast basketball videos by using context-aware pixel periodicity method and deep learning technique. Reading two digital video clocks is a very challenge problem as a difficulty special case of reading video text. The first challenge task is the clock digit localization. The existing pixel periodicity is a very good method for localizing second-digit place if a single clock is in video, but it is not applicable to localizing two second-digit places. This paper proposes a context-aware pixel periodicity method to identify the second-pixels of each clock based on the domain knowledge of digital video clocks. The second challenge task is clock-digit recognition. For this task, the CNN-based procedures are proposed to recognize clock digits. The experimental results show that the proposed algorithm can achieve 100% of accuracy in both localization and recognition for two clocks at very low computational cost by using very short input clips.
CITATION STYLE
Yu, X., Lyu, X., Xiang, L., & Leong, H. W. (2018). Reading two digital video clocks for broadcast basketball videos. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10736 LNCS, pp. 457–466). Springer Verlag. https://doi.org/10.1007/978-3-319-77383-4_45
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