Translator Disclaimer
25 September 2001 Video sequence segmentation and keyframe description based on phase-correlation of differential images
Author Affiliations +
Proceedings Volume 4553, Visualization and Optimization Techniques; (2001)
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yongjiang Song, LiangZheng Xia, and Shizhou Yang "Video sequence segmentation and keyframe description based on phase-correlation of differential images", Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001);


Automatic generation of summaries for the Web
Proceedings of SPIE (December 18 2003)
Two-stage strategy for indexing and presenting video
Proceedings of SPIE (April 01 1994)
Video parsing using compressed data
Proceedings of SPIE (March 23 1994)

Back to Top