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Proceedings Paper

Hierarchical temporal video segmentation and content characterization
Author(s): Bilge Gunsel; Yue Fu; A. Murat Tekalp
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Paper Abstract

This paper addresses the segmentation of a video sequence into shots, specification of edit effects and subsequent characterization of shots in terms of color and motion content. The proposed scheme uses DC images extracted from MPEG compressed video and performs an unsupervised clustering for the extraction of camera shots. The specification of edit effects, such as fade-in/out and dissolve is based on the analysis of distribution of mean value for the luminance components. This step is followed by the representation of visual content of temporal segments in terms of key frames selected by similarity analysis of mean color histograms. For characterization of the similar temporal segments, motion and color characteristics are classified into different categories using a set of different features derived from motion vectors of triangular meshes and mean histograms of video shots.

Paper Details

Date Published: 6 October 1997
PDF: 11 pages
Proc. SPIE 3229, Multimedia Storage and Archiving Systems II, (6 October 1997); doi: 10.1117/12.290364
Show Author Affiliations
Bilge Gunsel, Univ. of Rochester (United States)
Yue Fu, Univ. of Rochester (United States)
A. Murat Tekalp, Univ. of Rochester (United States)


Published in SPIE Proceedings Vol. 3229:
Multimedia Storage and Archiving Systems II
C.-C. Jay Kuo; Shih-Fu Chang; Venkat N. Gudivada, Editor(s)

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