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» Content-Based Image Retrieval Systems - Reviewing and Benchm...
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ICIP
2001
IEEE
14 years 10 months ago
Performance prediction for vocabulary-supported image retrieval
The majority of today's content based image retrieval systems rely on low-level image descriptors which limit their capability to support meaningful interactions with the use...
Julia Vogel, Bernt Schiele
ENGL
2007
168views more  ENGL 2007»
13 years 8 months ago
A Novel Star Field Approach for Shape Indexing in CBIR Systems
—This paper presents a novel hybrid method for content based visual information retrieval (CBIR) that combines shape analysis of objects in image with their automatic indexing by...
Oleg Starostenko, Alberto Chávez-Arag&oacut...
DICTA
2008
13 years 10 months ago
Digital Image Retrieval Using Intermediate Semantic Features and Multistep Search
Recently, semantic image retrieval has attracted large amount of interest due to the rapid growth of digital image storage. However, existing approaches have severe limitations. I...
Dengsheng Zhang, Ying Liu, Jin Hou
ICIP
2005
IEEE
14 years 2 months ago
Using Tsallis entropy into a Bayesian network for CBIR
This paper presents a Bayesian Network model for ContentBased Image Retrieval (CBIR). In the explanation and test of this work, only two images features (semantic evidences) are i...
Paulo S. Rodrigues, Gilson A. Giraldi, Ade A. Arau...
IS
2010
13 years 7 months ago
VISTO: A new CBIR system for vector images
In this paper, we present the main features of VISTO (Vector Image Serach TOol), a new Content-Based Image Retrieval (CBIR) system for vector images. Though unsuitable for photore...
Tania Di Mascio, Daniele Frigioni, Laura Tarantino