User-oriented summary extraction for soccer video based on multimodal analysis

Huayong Liu; Shanshan Jiang; Tingting He

doi:10.1117/12.901860

2 December 2011 User-oriented summary extraction for soccer video based on multimodal analysis

Huayong Liu, Shanshan Jiang, Tingting He

Proceedings Volume 8004, MIPPR 2011: Pattern Recognition and Computer Vision; 80040R (2011) https://doi.org/10.1117/12.901860
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

An advanced user-oriented summary extraction method for soccer video is proposed in this work. Firstly, an algorithm of user-oriented summary extraction for soccer video is introduced. A novel approach that integrates multimodal analysis, such as extraction and analysis of the stadium features, moving object features, audio features and text features is introduced. By these features the semantic of the soccer video and the highlight mode are obtained. Then we can find the highlight position and put them together by highlight degrees to obtain the video summary. The experimental results for sports video of world cup soccer games indicate that multimodal analysis is effective for soccer video browsing and retrieval.

Citation Download Citation

Huayong Liu, Shanshan Jiang, and Tingting He "User-oriented summary extraction for soccer video based on multimodal analysis", Proc. SPIE 8004, MIPPR 2011: Pattern Recognition and Computer Vision, 80040R (2 December 2011); https://doi.org/10.1117/12.901860

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available