By Topic

Semantic labeling of soccer video

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Haiping Sun ; Institute for Infocomm Res., Singapore, Singapore ; Joo-Hwee Lim ; Qi Tian ; Kankanhalli, M.S.

As traditional shot segmentation may not produce video segments that possess one-to-one correspondence to semantic views, we present an integrated segmentation and classification approach to label soccer video into semantic units in this paper. In our system, each P frame is divided to a 6 × 4 blocks with color and motion features extracted on both block and frame levels. First, a threshold is used to divide the video stream into relatively static parts and active parts. Then every active part is segmented into sub-parts according to 4 view types and the motion features are used to classify segments with support vector machines. Finally, static parts are merged with classified active sub-parts to form labeled segments. Four 10-minute test clips from the World Cup 2002 are used to evaluate our system resulting in a promising classification rate of 79.8%.

Published in:

Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on  (Volume:3 )

Date of Conference:

15-18 Dec. 2003