A unified shot boundary detection framework based on graph partition model

Authors:
Jinhui Yuan;Jianmin Li;Fuzong Lin;Bo Zhang
Affiliations:
Tsinghua University, Beijing, P. R. China;Tsinghua University, Beijing, P. R. China;Tsinghua University, Beijing, P. R. China;Tsinghua University, Beijing, P. R. China
Venue:
Proceedings of the 13th annual ACM international conference on Multimedia
Year:
2005

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Abstract

In this paper, we propose a unified shot boundary detection framework by extending the previous work of graph partition model with temporal constraints. To detect both the abrupt transitions (CUTs) and gradual transitions (GTs, excluding fade out/in) in a unified way, we incorporate temporal multi-resolution analysis into the model. Furthermore, instead of ad-hoc thresholding scheme, we construct a novel kind of feature to characterize shot transitions and employ support vector machine (SVM) with active leaning strategy to classify boundaries and non-boundaries. Extensive experiments have been carried out on the platform of TRECVID benchmark. The experimental results show that the proposed framework outperforms some others and achieves satisfactory results.