Approach of sports programs classification with motion information in MPEG domain

Yuwen He; Shi-Qiang Yang; Yuzhuo Zhong

doi:10.1117/12.411911

27 December 2000 Approach of sports programs classification with motion information in MPEG domain

Yuwen He, Shi-Qiang Yang, Yuzhuo Zhong

Proceedings Volume 4311, Internet Imaging II; (2000) https://doi.org/10.1117/12.411911
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

Classifying different sorts of programs is very important and necessary in order to realize fast retrieval in large multimedia retrieval systems. This paper focuses on classification of sports program with motion information in MPEG domain. It is fast and efficient to analysis motion information in compressed data without the preprocessing of total decoding and many programs are compressed in MPEG- 1/MPEG-2 format. The paper proposes an approach to classify the sports programs by dominant motion information. There is motion information in forward prediction coded frames (P- frame) in MPEG compression data. The motion information can be extracted form MPEG domain. Principal component analysis method is utilized in order to get the dominant motion information from the macroblock's motion vectors, which can simplify the motion information. Principal components of motion information are used to recognize which kind of sport it belongs to with hidden Markov model after those patterns are trained with different kind of sports programs. Some testing sets are used to do some experiment in order to evaluate the performance of the method proposed in paper. Classifying sports programs with motion is available from the experimental results.

Citation Download Citation

Yuwen He, Shi-Qiang Yang, and Yuzhuo Zhong "Approach of sports programs classification with motion information in MPEG domain", Proc. SPIE 4311, Internet Imaging II, (27 December 2000); https://doi.org/10.1117/12.411911

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