Key points are not available for this paper at this time.
The personal video recorder such as recordable-DVD recorder, Blu-ray disc recorder and/or hard disc recorder has become popular for a large volume storage device for video/audio content data and a browsing function that would quickly provide a desired scene to the user is required as an essential part of such a large capacity recording/playback system. We propose a highlight scene detection function by using only 'audio' features and realize a browsing function for the recorder that enables completely automatic detection of sports highlights. We detect sports highlights by identifying portions with "commentator's excited speech" using Gaussian mixture models (GMM's) trained using the MDL criterion. Our computation is carried out directly on the MDCT coefficients from the AC-3 coefficients thus giving us a tremendous speed advantage. Our accuracy of detection of sports highlights is high across a variety of sports.
Otsuka et al. (Tue,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: