Robust approach to video segmentation using compressed data

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Abstract
Partitioning video sequences into individual shots is one of the fundamental processes in video content parsing and content-based video retrieval. Up to now, a variety of algorithms and systems have been developed to perform this task. However, most of these algorithms exhibit their weakness when applied to detect gradual transitions such as dissolves, wipe, fade-in and fade-out. In this paper, we presented an integrated scheme to the detection of abrupt camera breaks and gradual scene changes using DCT coefficients and motion data encoded in the MPEG compression stream. The core of the proposed approach is a tree-like classifier. Three algorithms are organized in the classifier to deal with the complicated situation in real-world video sequences separately.

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