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Publications [#287100] of Ingrid Daubechies

Papers Published

  1. Wu, T; Polatkan, G; Steel, D; Brown, W; Daubechies, I; Calderbank, R, Painting analysis using wavelets and probabilistic topic models, 2013 Ieee International Conference on Image Processing, Icip 2013 Proceedings (December, 2013), pp. 3264-3268, IEEE [doi]
    (last updated on 2019/08/25)

    In this paper, computer-based techniques for stylistic analysis of paintings are applied to the five panels of the 14th century Peruzzi Altarpiece by Giotto di Bondone. Features are extracted by combining a dual-tree complex wavelet transform with a hidden Markov tree (HMT) model. Hierarchical clustering is used to identify stylistic keywords in image patches, and keyword frequencies are calculated for sub-images that each contains many patches. A generative hierarchical Bayesian model learns stylistic patterns of keywords; these patterns are then used to characterize the styles of the sub-images; this in turn, permits to discriminate between paintings. Results suggest that such unsupervised probabilistic topic models can be useful to distill characteristic elements of style. © 2013 IEEE.
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