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 (January, 2013), pp. 3264-3268, IEEE [doi]
   (last updated on 2025/04/04)

   Abstract:
   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.