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» Boosting Image Retrieval
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IADIS
2004
13 years 11 months ago
The outline of an 'intelligent' image retrieval engine
The first image retrieval systems hold the advantage of being fully automatic, and thus scalable to large collections of images but are restricted to the representation of low-lev...
Mohammed Belkhatir, Philippe Mulhem, Yves Chiarame...
IJCV
2007
163views more  IJCV 2007»
13 years 10 months ago
Semantic Modeling of Natural Scenes for Content-Based Image Retrieval
In this paper, we present a novel image representation that renders it possible to access natural scenes by local semantic description. Our work is motivated by the continuing effo...
Julia Vogel, Bernt Schiele
PRL
2000
104views more  PRL 2000»
13 years 10 months ago
PicSOM - content-based image retrieval with self-organizing maps
We have developed a novel system for content-based image retrieval in large, unannotated databases. The system is called PicSOM, and it is based on tree structured self-organizing...
Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkk...
ICMCS
2005
IEEE
136views Multimedia» more  ICMCS 2005»
14 years 3 months ago
Soft Region Correspondence Estimation for Graph-Theoretic Image Retrieval Using Quadratic Programming Approach
This paper proposes employing a graph-theoretic approach to estimate the region correspondence between two images. We represent each image as an attributed undirected graph and tr...
Chuech-Yu Li, Chiou-Ting Hsu
ICIP
2005
IEEE
14 years 3 months ago
Content-based medical image retrieval using dynamically optimized regional features
This paper proposes a content-based medical image retrieval (CBMIR) framework using dynamically optimized features from multiple regions of medical images. These regional features...
Wei Xiong, Bo Qiu, Qi Tian, Changsheng Xu, Sim Hen...