Graph-based multilevel temporal segmentation of scripted content videos

Date

2007-06-13

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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This paper concentrates on a graph-based multilevel temporal segmentation method for scripted content videos. In each level of the segmentation, a similarity matrix of frame strings, which are series of consecutive video frames, is constructed by using temporal and spatial contents of frame strings. A strength factor is estimated for each frame string by using a priori information of a scripted content. According to the similarity matrix reevaluated from a strength function derived by the strength factors, a weighted undirected graph structure is implemented. The graph is partitioned to clusters, which represent segments of a video. The resulting structure defines a hierarchically segmented video tree. Comparative performance results of different types of scripted content videos are demonstrated.

Subject Keywords

Temporal video segmentation, Shot clustering, Scene detection, Video summarization, Graph partitioning, Normalized cuts

URI

https://hdl.handle.net/11511/64603

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Citation Formats

U. Sakarya and Z. TELATAR, “Graph-based multilevel temporal segmentation of scripted content videos,” 2007, vol. 4538, p. 168, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/64603.