DocumentCode :
409949
Title :
Feature design in soccer video indexing
Author :
Han, Mei ; Hua, Wei ; Chen, Terrence ; Gong, Yihong
Author_Institution :
NEC Lab. America, Cupertino, CA, USA
Volume :
2
fYear :
2003
fDate :
15-18 Dec. 2003
Firstpage :
950
Abstract :
Unlike American football, baseball, tennis and many other sports games, soccer is not a well-structured game. Soccer videos are basically continuous streams with exciting highlights embedded. However, the highlights of the same type are correlated in spatial and temporal feature distributions. In this paper we present an effective scheme to represent soccer scenes with low/mid-level image and sound features. We discuss three aspects of feature design in soccer video indexing system: temporal structure, low/mid-level features, domain specific knowledge. We use the maximum-entropy based machine learning method as a test platform to verify the feature design scheme. The maximum-entropy method can automatically choose the features with more distinguishing power. The feature representation is applied to soccer video indexing. Extensive experiments are conducted and satisfying results are described.
Keywords :
feature extraction; image representation; indexing; learning (artificial intelligence); maximum entropy methods; spatiotemporal phenomena; video coding; domain specific knowledge; feature representation; highlights embedded; low-mid-level feature; maximum-entropy based machine learning method; mid-level image representation; soccer feature design; soccer scene; soccer video indexing; sound feature; spatial correlation; temporal feature distribution; temporal structure; Entropy; Games; Image segmentation; Indexing; Laboratories; Layout; Learning systems; National electric code; Performance analysis; Streaming media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
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
Print_ISBN :
0-7803-8185-8
Type :
conf
DOI :
10.1109/ICICS.2003.1292598
Filename :
1292598
Link To Document :
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