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Proceedings Paper

Robust approach to video segmentation using compressed data
Author(s): Qi Wei; HongJiang Zhang; Yuzhuo Zhong
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Paper 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.

Paper Details

Date Published: 15 January 1997
PDF: 9 pages
Proc. SPIE 3022, Storage and Retrieval for Image and Video Databases V, (15 January 1997); doi: 10.1117/12.263434
Show Author Affiliations
Qi Wei, Tsinghua Univ. (China)
HongJiang Zhang, Tsinghua Univ. (China)
Yuzhuo Zhong, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 3022:
Storage and Retrieval for Image and Video Databases V
Ishwar K. Sethi; Ramesh C. Jain, Editor(s)

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