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CVPR
2006
IEEE
16 years 1 months ago
Unsupervised Learning of Categories from Sets of Partially Matching Image Features
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
Kristen Grauman, Trevor Darrell
CVPR
2007
IEEE
16 years 1 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger
IH
2004
Springer
15 years 5 months ago
Feature-Based Steganalysis for JPEG Images and Its Implications for Future Design of Steganographic Schemes
In this paper, we introduce a new feature-based steganalytic method for JPEG images and use it as a benchmark for comparing JPEG steganographic algorithms and evaluating their embe...
Jessica J. Fridrich
108
Voted
ICCV
2005
IEEE
16 years 1 months ago
Creating Efficient Codebooks for Visual Recognition
Visual codebook based quantization of robust appearance descriptors extracted from local image patches is an effective means of capturing image statistics for texture analysis and...
Bill Triggs, Frédéric Jurie
CIVR
2005
Springer
154views Image Analysis» more  CIVR 2005»
15 years 5 months ago
A Novel Texture Descriptor Using Over-Complete Wavelet Transform and Its Fractal Signature
In the paper, we proposed a novel feature descriptor using over-complete wavelet transform and wavelet domain based fractal signature for texture image analysis and retrieval. Trad...
Qing Wang, David Dagan Feng