Second-order statistical measures for text-independent speaker identification
Speech Communication
Medium knowledge-based macro-segmentation of video into sequences
Intelligent multimedia information retrieval
Determining computable scenes in films and their structures using audio-visual memory models
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
A New Shot Boundary Detection Algorithm
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Video Scene Segmentation via Continuous Video Coherence
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Audio-assisted scene segmentation for story browsing
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Shot clustering techniques for story browsing
IEEE Transactions on Multimedia
Computer Vision and Image Understanding
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Automatic video segmentation into semantic units is important to organize an effective content based access to long video. The basic building blocks of professional video are shots. However the semantic meaning they provide is of a too low level. In this paper we focus on the problem of video segmentation into more meaningful high-level narrative units called scenes – aggregates of shots that are temporally continuous, share the same physical settings or represent continuous ongoing action. A statistical video scene segmentation framework is proposed which is capable to combine multiple mid-level features in a symmetrical and scalable manner. Two kinds of such features extracted in visual and audio domain are suggested. The results of experimental evaluations carried out on ground truth video are reported. They show that our algorithm effectively fuses multiple modalities with higher performance as compared with an alternative conventional fusion technique.