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» Image compression using texture modeling
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CVPR
2009
IEEE
15 years 3 months ago
Learning Mixed Templates for Object Recognition
This article proposes a method for learning object templates composed of local sketches and local textures, and investigates the relative importance of the sketches and textures ...
Haifeng Gong, Song Chun Zhu, Ying Nian Wu, Zhangzh...
ICIP
2000
IEEE
14 years 1 months ago
Multiscale Texture Segmentation Using Hybrid Contextual Labeling Tree
Wavelet-domain hidden Markov tree (HMT) model has been recently proposed and applied to image processing, e.g., image segmentation. A new multiscale image segmentation method, cal...
Guoliang Fan, Xiang-Gen Xia
ICPR
2002
IEEE
14 years 10 months ago
Multicue MRF Image Segmentation: Combining Texture and Color Features
Herein, we propose a new Markov random field (MRF) image segmentation model which aims at combining color and texture features. The model has a multi-layer structure: Each feature...
Zoltan Kato, Ting-Chuen Pong, Song Guo Qiang
ICIP
2003
IEEE
14 years 10 months ago
Object localization using texture motifs and Markov random fields
This work presents a novel approach to object localization in complex imagery. In particular, the spatial extents of objects characterized by distinct spatial signatures at multip...
Shawn Newsam, Sitaram Bhagavathy, B. S. Manjunath
ICASSP
2011
IEEE
13 years 22 days ago
Multivariate texture retrieval using the SIRV representation and the geodesic distance
This paper presents a new wavelet based retrieval approach based on Spherically Invariant Random Vector (SIRV) modeling of wavelet subbands. Under this multivariate model, wavelet...
Lionel Bombrun, Noureddine Lasmar, Yannick Berthou...