Graph-based multilevel temporal segmentation of scripted content videos

Authors:
Ufuk Sakarya;Ziya Telatar
Affiliations:
The Scientific & Technological Research Council of Turkey, Space Technologies Research Institute, ODTÜÜ Yerleskesi, Ankara, Turkey and Ankara University, Faculty of Engineering, Departme ...;Ankara University, Faculty of Engineering, Department of Electronics Engineering, Ankara, Turkey
Venue:
GbRPR'07 Proceedings of the 6th IAPR-TC-15 international conference on Graph-based representations in pattern recognition
Year:
2007

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Abstract

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.