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» Optimization of Content-Based Image Retrieval Functions
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MIR
2005
ACM
133views Multimedia» more  MIR 2005»
14 years 1 months ago
Probabilistic web image gathering
We propose a new method for automated large scale gathering of Web images relevant to specified concepts. Our main goal is to build a knowledge base associated with as many conce...
Keiji Yanai, Kobus Barnard
ICIP
2002
IEEE
14 years 9 months ago
Learning similarity space
In this study, we suggest a method to adapt an image retrieval system into a configurable one. Basically, original feature space of a content-based retrieval system is nonlinearly...
Abdurrahman Çarkacioglu, Fatos T. Yarman-Vu...
NIPS
2004
13 years 9 months ago
Instance-Based Relevance Feedback for Image Retrieval
High retrieval precision in content-based image retrieval can be attained by adopting relevance feedback mechanisms. These mechanisms require that the user judges the quality of t...
Giorgio Giacinto, Fabio Roli
ICPR
2004
IEEE
14 years 8 months ago
Incorporating Prior Knowledge into SVM for Image Retrieval
SVM based image retrieval suffers from the scarcity of labelled samples. In this paper, this problem is solved by incorporating prior knowledge into SVM. Firstly, some prior knowl...
Lei Wang, Ping Xue, Kap Luk Chan
SMI
2006
IEEE
168views Image Analysis» more  SMI 2006»
14 years 1 months ago
Spherical Wavelet Descriptors for Content-based 3D Model Retrieval
The description of 3D shapes with features that possess descriptive power and invariant under similarity transformations is one of the most challenging issues in content based 3D ...
Hamid Laga, Hiroki Takahashi, Masayuki Nakajima