Graph-based multilevel temporal video segmentation

Date

2008-11-01

Author

Sakarya, Ufuk
TELATAR, ZİYA

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This paper presents a graph-based multilevel temporal video segmentation method. In each level of the segmentation, a weighted undirected graph structure is implemented. The graph is partitioned into clusters which represent the segments of a video. Three low-level features are used in the calculation of temporal segments' similarities: visual content, motion content and shot duration. Our strength factor approach contributes to the results by improving the efficiency of the proposed method. Experiments show that the proposed video scene detection method gives promising results in order to organize videos without human intervention.

Subject Keywords

Media Technology, Computer Networks and Communications, Hardware and Architecture, Software, Information Systems

URI

https://hdl.handle.net/11511/64880

Journal

MULTIMEDIA SYSTEMS

DOI

https://doi.org/10.1007/s00530-008-0145-x

Collections

The Research and Application Center for Space and Accelerator Technologies (İVME-R), Article

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Citation Formats

U. Sakarya and Z. TELATAR, “Graph-based multilevel temporal video segmentation,” MULTIMEDIA SYSTEMS, pp. 277–290, 2008, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/64880.