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SIGIR
2008
ACM
14 years 9 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang
AIRS
2008
Springer
15 years 4 months ago
A Semantic Content-Based Retrieval Method for Histopathology Images
This paper proposes a model for content-based retrieval of histopathology images. The most remarkable characteristic of the proposed model is that it is able to extract high-level ...
Juan C. Caicedo, Fabio A. González, Eduardo...
WEBI
2004
Springer
15 years 3 months ago
An Ontology-based Approach to Retrieve Digitized Art Images
Although much progress has been made, current lowlevel based visual information retrieval technology does not allow users to formulate queries through high-level semantics. More a...
Shuqiang Jiang, Tiejun Huang, Wen Gao
ICIP
2002
IEEE
15 years 11 months ago
Unsupervised image segmentation via Markov trees and complex wavelets
The goal in image segmentation is to label pixels in an image based on the properties of each pixel and its surrounding region. Recently Content-Based Image Retrieval (CBIR) has e...
Cián W. Shaffrey, Ian Jermyn, Nick G. Kings...
ISVC
2005
Springer
15 years 3 months ago
Using Linguistic Models for Image Retrieval
This research addresses the problem of image retrieval by exploring the semantic relationships that exist between image annotations. This is done by using linguistic relationships ...
Brian Zambrano, Rahul Singh, Bibek Dev Bhattarai