ECIR
2011
Springer
13 years 2 months ago
2011
Springer
Abstract. Content-based image retrieval (CBIR) with global features is notoriously noisy, especially for image queries with low percentages of relevant images in a collection. More...
JDCTA
2010
13 years 5 months ago
2010
Content based image retrieval (CBIR) has been one of the most important research areas in computer science for the last decade. A retrieval method which combines color and texture...
ICCV
2009
IEEE
13 years 8 months ago
2009
IEEE
The state-of-the-art content based image retrieval sys
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
In this work a new method to retrieve images with similar lighting conditions is presented. It is based on automatic clustering and automatic indexing. Our proposal belongs to Con...
MTA
2008
13 years 10 months ago
2008
The problem of content based image retrieval (CBIR) has traditionally been investigated within a framework that emphasises the explicit formulation of a query: users initiate an au...
GECCO
2008
Springer
13 years 12 months ago
2008
Springer
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
SPIESR
2003
14 years 6 days ago
2003
In an earlier study a Semantic Content Based Image Retrieval system was developed. The system requires a Visual Object Process Diagram - VOPD to be created for each image in the d...
ICVGIP
2004
14 years 7 days ago
2004
This paper presents a robust technique for Content Based Image Retrieval (CBIR) using salient points of an image. The salient points are extracted from different levels of the uns...
CLEF
2006
Springer
14 years 24 days ago
2006
Springer
This paper presents the results of the University at Buffalo in the 2006 ImageCLEFmed task. Our approach for this task combines Content Based Image Retrieval (CBIR) and text retrie...
CAIP
1999
Springer
14 years 3 months ago
1999
Springer
We describe an interactive system for content based image retrieval. The system presents the user with 15 randomly selected images from the database. The user grades the images wit...