Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

10-2003

Abstract

We propose a unified approach for summarization based on the analysis of video structures and video highlights. Our approach emphasizes both the content balance and perceptual quality of a summary. Normalized cut algorithm is employed to globally and optimally partition a video into clusters. A motion attention model based on human perception is employed to compute the perceptual quality of shots and clusters. The clusters, together with the computed attention values, form a temporal graph similar to Markov chain that inherently describes the evolution and perceptual importance of video clusters. In our application, the flow of a temporal graph is utilized to group similar clusters into scenes, while the attention values are used as guidelines to select appropriate sub-shots in scenes for summarization.

Discipline

Computer Sciences | Graphics and Human Computer Interfaces

Research Areas

Intelligent Systems and Optimization

Publication

Proceedings of the 9th IEEE International Conference on Computer Vision, Nice, France, 2003 October 13-16

Volume

1

First Page

104

Last Page

109

ISBN

0-7695-1950-4

Identifier

10.1109/ICCV.2003.1238320

Publisher

IEEE

City or Country

Nice, France

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