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» Evaluating Image Retrieval
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ICIP
2002
IEEE
16 years 7 months ago
Color texture moments for content-based image retrieval
In this paper, we adopt local Fourier transform as a texture representation scheme and derive eight characteristic maps for describing different aspects of co-occurrence relations...
Hui Yu, Mingjing Li, HongJiang Zhang, Jufu Feng
ICMCS
2006
IEEE
155views Multimedia» more  ICMCS 2006»
16 years 2 days ago
Region-Based Image Retrieval using Radial Basis Function Network
This paper presents a new framework that integrates relevance feedback into region-based image retrieval (RBIR) systems based on radial basis function network (RBFN). A modified u...
Kui Wu, Kim-Hui Yap, Lap-Pui Chau
ICMCS
2007
IEEE
132views Multimedia» more  ICMCS 2007»
16 years 10 days ago
Client-Side Relevance Feedback Approach for Image Retrieval in Mobile Environment
With the proliferation of handheld devices, the demand of multimedia information retrieval on mobile devices has attracted more attention. A relevance feedback information retriev...
Ning Yu, Kien A. Hua, Danzhou Liu
SPIESR
1998
195views Database» more  SPIESR 1998»
15 years 7 months ago
Relevance Feedback Techniques in Interactive Content-Based Image Retrieval
Content-Based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Many visual feature representations have been explored and many system...
Yong Rui, Thomas S. Huang, Sharad Mehrotra
MMM
2011
Springer
251views Multimedia» more  MMM 2011»
14 years 9 months ago
Randomly Projected KD-Trees with Distance Metric Learning for Image Retrieval
Abstract. Efficient nearest neighbor (NN) search techniques for highdimensional data are crucial to content-based image retrieval (CBIR). Traditional data structures (e.g., kd-tree...
Pengcheng Wu, Steven C. H. Hoi, Duc Dung Nguyen, Y...