Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Automatic Video Scene Extraction by Shot Grouping
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
A General Framework for Temporal Video Scene Segmentation
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Video summarization and scene detection by graph modeling
IEEE Transactions on Circuits and Systems for Video Technology
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Video scene segmentation plays an important role in video structure analysis. In this paper, we propose a novel coherence signal construction method for scene segmentation based on normalized cut. The normalized cut criterion simultaneously emphasizes the homogeneity between the shots in the same scene and inhomogeneity between the shots in different scenes, hence, the signal constructed based on this criterion well reflects the shot content coherence. Experimental results on different genres of practical video have shown that our coherence signal performs better on scene segmentation than the backward shot coherence signal.