Effective and efficient sports highlights extraction using the minimum description length criterion in selecting GMM structures [audio classification]
In fitting the training data with Gaussian mixture models (GMMs) of appropriate structures using the MDL (minimum description length) 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 quickly. We have demonstrated the importance of a better understanding of model structures in such a pattern recognition task.