Reading Two Digital Video Clocks for Broadcast Basketball Videos

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.