PROCEEDINGS OF THE ITE ANNUAL CONVENTION
Online ISSN : 2424-2292
Print ISSN : 1343-1846
ISSN-L : 1343-1846
Proceedings of the ITE Annual Convention 2018
Conference information

Hierarchical Clustering of Moving Images Based on Statistical Modeling of 3-D DFT Coefficients
*Takahiro SAITOTakashi KOMATSU
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Pages 32B-1-

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Abstract
This paper statistically models 3-D DFT coefficients of a moving image with our previously presented 2-component spherically-symmetric Gaussian mixture distribution, defines dissimilarity between moving images on the basis of geometric metrics in the model space, constructs hierarchical clustering with the dissimilarity, and applies the clustering to ITE standard moving images.
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© 2018 The Institute of Image Information and Television Engineers
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