EFFECTIVE AND EFFICIENT SPORTS HIGHLIGHTS EXTRACTION USING THE MINIMUM DESCRIPTION LENGTH CRITERION IN SELECTING GMM STRUCTURES
Ziyou Xiong, Regunathan Radhakrishnan, Ajay Divakaran, Thomas S. Huang · International Conference on Multimedia and Expo · 2004
In fitting the training data with Guassian Mixture Models(GMMs) of appropriate structures using the MDL criterion, we are able to improve audio classification accuracy with a large margin. With the MDL-GMMs, we are also able to greatly improve the accuracy in extracting sports highlights. Since we have focused on audio domain processing, it enables us to extract highlights very fast. In this paper, we have demonstrated the importance of a better understanding of model structures in such a pattern recognition task.