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DGCI
2000
Springer
14 years 15 days ago
An Efficient Shape-Based Approach to Image Retrieval
We consider the problem of finding the best match for a given query shape among candidate shapes stored in a shape base. This is central to a wide range of applications, such as, d...
Ioannis Fudos, Leonidas Palios
MM
2006
ACM
167views Multimedia» more  MM 2006»
14 years 2 months ago
Image annotation by large-scale content-based image retrieval
Image annotation has been an active research topic in recent years due to its potentially large impact on both image understanding and Web image search. In this paper, we target a...
Xirong Li, Le Chen, Lei Zhang, Fuzong Lin, Wei-Yin...
PRL
2008
78views more  PRL 2008»
13 years 8 months ago
Retrieving scale from quasi-stationary images
(204 words) We have developed a novel method to derive scale information from quasi-stationary images, which relies on a rotation-guided multi-scale analysis of features derived fr...
Piotr W. Mirowski, Daniel M. Tetzlaff
ISM
2008
IEEE
150views Multimedia» more  ISM 2008»
14 years 3 months ago
Combining Global with Local Texture Information for Image Retrieval Applications
This paper proposes a new texture descriptor to guide the search and retrieval in image databases. It extracts rich information from global and local primitives of textured images...
Javier A. Montoya-Zegarra, Jan Beeck, Neucimar Jer...
MIR
2005
ACM
140views Multimedia» more  MIR 2005»
14 years 2 months ago
Multiple random walk and its application in content-based image retrieval
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying M...