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2018 | OriginalPaper | Chapter

SmartTennisTV: Automatic Indexing of Tennis Videos

Authors : Anurag Ghosh, C. V. Jawahar

Published in: Computer Vision, Pattern Recognition, Image Processing, and Graphics

Publisher: Springer Singapore

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Abstract

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.

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Metadata
Title
SmartTennisTV: Automatic Indexing of Tennis Videos
Authors
Anurag Ghosh
C. V. Jawahar
Copyright Year
2018
Publisher
Springer Singapore
Book
Computer Vision, Pattern Recognition, Image Processing, and Graphics

Print ISBN: 978-981-13-0019-6

Electronic ISBN: 978-981-13-0020-2

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-13-0020-2_3

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