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Proceedings Paper

Video sequence segmentation and keyframe description based on phase-correlation of differential images
Author(s): Yongjiang Song; LiangZheng Xia; Shizhou Yang
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Paper Abstract

Video segmentation, key-frame selection and description are essential steps for CBIR. New techniques about video sequences to suit the needs of CBIR are studied in this article. Data structure of video, a key of CBIR, is defined by scene, shot and key-frame of shot. Secondly, we propose a completely implement method of scene segmentation and shot segmentation using phase correlation function of differential images. Moreover, we define key-frame of a shot base don the mosaic picture an describe it based on the Fourier Descriptor after we discuss various select schemes of shot key-frame depend on the characters of video sequence. There are diverse movements between two frames, such as shift, rotation and scale. In this paper, we introduce the phase correlatively between images in log- polar coordinates to detect rotation and scale and the phase correlativity in Cartesian coordinates is exploited to find shift. We further demonstrate that the proposed method as a powerful tool for segmentation of video sequences.

Paper Details

Date Published: 25 September 2001
PDF: 6 pages
Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); doi: 10.1117/12.441560
Show Author Affiliations
Yongjiang Song, Southeast Univ. (China)
LiangZheng Xia, Southeast Univ. (China)
Shizhou Yang, Research Institute of Television and Electro-Acoustics (China)


Published in SPIE Proceedings Vol. 4553:
Visualization and Optimization Techniques

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