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	Video shot spectral clustering algorithm by optimized automatic cluster model selection
	Zhang Jianning ; Sun Lifeng ; Zhong Yuzhuo
	2010-05-06 ; 2010-05-06
关键词	Practical Theoretical or Mathematical/ Gaussian processes image representation pattern clustering spectral analysis video signal processing/ video shot spectral clustering algorithm optimized automatic cluster model selection distributed Gauss mixture model spatial-temporal feature representation/ B6135 Optical, image and video signal processing B0240Z Other topics in statistics C5260D Video signal processing C5260B Computer vision and image processing techniques C1140Z Other topics in statistics
中文摘要	Spectral clustering is one of the most efficient video shot clustering algorithms. The automatic cluster model selection is still an open issue for the spectral clustering algorithm. This paper presents a video shot spectral clustering algorithm that incorporates optimized automatic cluster model selection. A distributed gauss mixture model (DGMM) is used to represent the spatial-temporal features of each shot with the model parameters used as the feature vectors for the spectral clustering. Both the DGMM and the spectral clustering measurements are used to in a globally optimized method to automatically select the number of clusters and the feature-space dimension. Tests show that the method gives better cluster model selections and clustering results.
语种	中文 ; 中文
出版者	Tsinghua University Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/10494]
专题	清华大学
推荐引用方式 GB/T 7714	Zhang Jianning,Sun Lifeng,Zhong Yuzhuo. Video shot spectral clustering algorithm by optimized automatic cluster model selection[J],2010, 2010.
APA	Zhang Jianning,Sun Lifeng,&Zhong Yuzhuo.(2010).Video shot spectral clustering algorithm by optimized automatic cluster model selection..
MLA	Zhang Jianning,et al."Video shot spectral clustering algorithm by optimized automatic cluster model selection".(2010).

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