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Normalized cut based coherence measure construction for scene segmentation

Chapter


Abstract


  • 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. © 2009 Springer-Verlag Berlin Heidelberg.

Publication Date


  • 2009

Citation


  • Zhang, X., Zeng, X., Hu, W., & Li, W. (2009). Normalized cut based coherence measure construction for scene segmentation. In Unknown Book (Vol. 5879 LNCS, pp. 1099-1105). doi:10.1007/978-3-642-10467-1_107

International Standard Book Number (isbn) 13


  • 9783642104664

Scopus Eid


  • 2-s2.0-76249091918

Book Title


  • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Start Page


  • 1099

End Page


  • 1105

Abstract


  • 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. © 2009 Springer-Verlag Berlin Heidelberg.

Publication Date


  • 2009

Citation


  • Zhang, X., Zeng, X., Hu, W., & Li, W. (2009). Normalized cut based coherence measure construction for scene segmentation. In Unknown Book (Vol. 5879 LNCS, pp. 1099-1105). doi:10.1007/978-3-642-10467-1_107

International Standard Book Number (isbn) 13


  • 9783642104664

Scopus Eid


  • 2-s2.0-76249091918

Book Title


  • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Start Page


  • 1099

End Page


  • 1105