VIDEO SCENE DETECTION USING DOMINANT SETS

Date

2008-10-15

Author

Sakarya, Ufuk
TELATAR, ZİYA

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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In this paper, we propose a weighted undirected graph-based video scene detection method. The method is based on the idea of using the complete information of the graph. For this aim, each shot is represented by a vertex on the graph. Edge weights among vertices are evaluated by using spatial and temporal similarities of shots. Only a single video scene boundary which has the highest probability to be the correct one is determined and this scene boundary information is also used as a clue in the next steps. A tree-based peeling strategy is proposed to determine the boundaries of the remaining scenes. In order to test our graph-based video scene detection method, we used DVD chapters' information and promising results were obtained when compared to the results of the similar work presented in literature.

Subject Keywords

Layout, Space technology, Image segmentation, Multimedia databases, Councils, Monte Carlo methods, Minimization methods, Image edge detection, Tree graphs, Testing

URI

https://hdl.handle.net/11511/65925

DOI

https://doi.org/10.1109/icip.2008.4711694

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

U. Sakarya and Z. TELATAR, “VIDEO SCENE DETECTION USING DOMINANT SETS,” 2008, p. 73, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65925.