Automatic parsing and indexing of news video
Multimedia Systems
Heuristic approach for generic audio data segmentation and annotation
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Combined Audio and Visual Streams Analysis for Video Sequence Segmentation
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
Time-Constrained Clustering for Segmentation of Video into Story Unites
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Exploring Video Structure Beyond The Shots
ICMCS '98 Proceedings of the IEEE International Conference on Multimedia Computing and Systems
Time-Constrained Keyframe Selection Technique
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Rapid scene analysis on compressed video
IEEE Transactions on Circuits and Systems for Video Technology
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In the paper, we present an approach that exploits audio and video features to automatically segment news items. Integration of audio and visual analysis can overcome the weakness of the approach only using the image analysis techniques. It brings our approach with more adaptation to variable existence situations of news items. The proposed approach identifies silence segments in accompanying audio, and integrates with shot segmentation results, as well as anchor shot detection results, to determine boundaries between news items. Experiments show that the integration of audio and video features is effective to solve the problem of automatic segmentation of news items.