Realization of shot boundary detection based on a unique classifying method

Meng Cai; Kefeng Zhang; Fan Xu; Xiaojun Zhang; Xuecheng Zou

doi:10.1117/12.748534

15 November 2007 Realization of shot boundary detection based on a unique classifying method

Meng Cai, Kefeng Zhang, Fan Xu, Xiaojun Zhang, Xuecheng Zou

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67861M (2007) https://doi.org/10.1117/12.748534
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Meng Cai, Kefeng Zhang, Fan Xu, Xiaojun Zhang, and Xuecheng Zou "Realization of shot boundary detection based on a unique classifying method", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67861M (15 November 2007); https://doi.org/10.1117/12.748534

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