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» Unsupervised image embedding using nonparametric statistics
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ICIP
2007
IEEE
16 years 1 months ago
Estimating Steganographic Capacity for Odd-Even Based Embedding and its Use in Individual Compensation
We present a method to compute the steganographic capacity for images, with odd-even based hiding in the quantized discrete cosine transform domain. The method has been generalize...
Anindya Sarkar, B. S. Manjunath
ICIP
2002
IEEE
16 years 1 months ago
Unsupervised image segmentation via Markov trees and complex wavelets
The goal in image segmentation is to label pixels in an image based on the properties of each pixel and its surrounding region. Recently Content-Based Image Retrieval (CBIR) has e...
Cián W. Shaffrey, Ian Jermyn, Nick G. Kings...
132
Voted
CVPR
2012
IEEE
13 years 2 months ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
85
Voted
ICIP
2005
IEEE
16 years 1 months ago
Segmenting non stationary images with triplet Markov fields
The hidden Markov field (HMF) model has been used in many model-based solutions to image analysis problems, including that of image segmentation, and generally gives satisfying re...
Dalila Benboudjema, Wojciech Pieczynski
ICIP
2003
IEEE
15 years 5 months ago
Automatically organizing digital photographs using time and content
We present similarity-based methods to cluster digital photos by time and image content. This approach is general, unsupervised, and makes minimal assumptions regarding the struct...
Matthew L. Cooper, Jonathan Foote, Andreas Girgens...