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Proceedings Paper

Realization of shot boundary detection based on a unique classifying method
Author(s): Meng Cai; Kefeng Zhang; Fan Xu; Xiaojun Zhang; Xuecheng Zou
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Paper Abstract

A new shot boundary detection system based on a unique classifying method was proposed. The pixel matched difference algorithm was improved and two new features: pixel similarity degree and pixel mean difference were proposed. Also a new classifying method for shot boundary transition, including cut, fade out or in, short gradual transition, long gradual transition and other gradual transition was proposed. These improved features showed good performance in the detection; the algorithm based on classifying method traded off well between performance and cost, both of which were proved by the experiment.

Paper Details

Date Published: 15 November 2007
PDF: 8 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67861M (15 November 2007); doi: 10.1117/12.748534
Show Author Affiliations
Meng Cai, Huazhong Univ. of Science and Technology (China)
Kefeng Zhang, Huazhong Univ. of Science and Technology (China)
Fan Xu, Huazhong Univ. of Science and Technology (China)
Xiaojun Zhang, Huazhong Univ. of Science and Technology (China)
Xuecheng Zou, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition
Tianxu Zhang; Tianxu Zhang; Carl Anthony Nardell; Carl Anthony Nardell; Hanqing Lu; Duane D. Smith; Hangqing Lu, Editor(s)

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