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» Boosting Image Retrieval
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TKDE
2008
195views more  TKDE 2008»
13 years 10 months ago
Learning a Maximum Margin Subspace for Image Retrieval
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
Xiaofei He, Deng Cai, Jiawei Han
ICONIP
2009
13 years 8 months ago
A Cyclostationarity Analysis Applied to Scaled Images
Abstract. The knowledge of image's geometric history plays an important role in image signal compression, image registration, image retrieval and especially in image forensics...
Babak Mahdian, Stanislav Saic
ICIP
2002
IEEE
14 years 12 months ago
SPIN-IT: a data centric routing protocol for image retrieval in wireless networks
In this paper, we propose and analyze a routing protocol for mobile ad hoc networks that supports efficient image retrieval based on metadata queries. In digital photography, meta...
Edward Woodrow, Wendi Rabiner Heinzelman
SEMCO
2007
IEEE
14 years 4 months ago
Perceptual Shape-Based Natural Image Representation and Retrieval
Human visual recognition is based largely on shape, yet effectively using shapes in natural image retrieval is a challenging task. Most existing methods are based on the geometric...
Xiaofen Zheng, Scott A. Sherrill-Mix, Qigang Gao
SIBGRAPI
2003
IEEE
14 years 3 months ago
Using Efficient Visual Exploration Techniques to Evaluate Features for Content-Based Image Retrieval
This paper presents a novel visual approach to evaluate, in a fast and effective way, the development of new image feature extraction techniques concerning content-based image ret...
José Fernando Rodrigues Jr., César A...