  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.
