SmartTennisTV: Automatic indexing of tennis videos
This work addresses the need for navigable and searchable tennis match videos for viewers or analysts, but it is incremental as it applies existing methods to a specific domain.
The paper tackled the problem of automatically indexing broadcast tennis videos by temporally segmenting rallies and recognizing scores, then refining them using tennis scoring rules, and demonstrated its efficiency on videos from two major tournaments.
In this paper, we demonstrate a score based indexing approach for tennis videos. Given a broadcast tennis video (BTV), we index all the video segments with their scores to create a navigable and searchable match. Our approach temporally segments the rallies in the video and then recognizes the scores from each of the segments, before refining the scores using the knowledge of the tennis scoring system. We finally build an interface to effortlessly retrieve and view the relevant video segments by also automatically tagging the segmented rallies with human accessible tags such as 'fault' and 'deuce'. The efficiency of our approach is demonstrated on BTV's from two major tennis tournaments.