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» Image Retrieval by Shape: A Comparative Study
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ICCV
2007
IEEE
14 years 7 months ago
Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification
We address the problem of visual category recognition by learning an image-to-image distance function that attempts to satisfy the following property: the distance between images ...
Andrea Frome, Yoram Singer, Fei Sha, Jitendra Mali...
TITB
2008
111views more  TITB 2008»
13 years 5 months ago
A Spine X-Ray Image Retrieval System Using Partial Shape Matching
In recent years, there has been a rapid increase in the size and number of medical image collections. Thus, the development of appropriate methods for medical information retrieval...
Xiaoqian Xu, Dah-Jye Lee, Sameer Antani, L. Rodney...
SIBGRAPI
2003
IEEE
13 years 11 months ago
Effective Image Retrieval by Shape Saliences
Content-Based Image Retrieval (CBIR) systems have been developed aiming at enabling users to search and retrieve images based on their properties such as shape, color and texture....
Ricardo da Silva Torres, Eduardo M. Picado, Alexan...
ICIP
2000
IEEE
14 years 7 months ago
A Hierarchical Characterization Scheme for Image Retrieval
* In this paper, we present a study of hierarchically characterizing image content from coarse level to fine level conducted using a series of shape features as a case in point. I...
Liu Wenyin, Tao Wang, HongJiang Zhang
APWEB
2003
Springer
13 years 11 months ago
Web-Based Image Retrieval with a Case Study
Abstract. Advances in content-based image retrieval(CBIR)lead to numerous efficient techniques for retrieving images based on their content features, such as colours, textures and ...
Ying Liu, Danqing Zhang