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ICIP
2001
IEEE
14 years 11 months ago
Shape measures for image retrieval
One of the main goals in Content Based Image Retrieval (CBIR) is to incorporate shape into the process in a reliable manner. In order to overcome the difficulties of directly obta...
George Gagaudakis, Paul L. Rosin
IJON
2002
185views more  IJON 2002»
13 years 9 months ago
An image retrieval system by impression words and specific object names - IRIS
Image content analysis has become an important issue in multimedia processing. Region-based image retrieval systems attempt to reduce the gap between high-level semantics and low-l...
Kazuhiro Kuroda, Masafumi Hagiwara
PRL
2008
143views more  PRL 2008»
13 years 9 months ago
An active feedback framework for image retrieval
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). Since users are usually unwilling to prov...
Tao Qin, Xu-Dong Zhang, Tie-Yan Liu, De-Sheng Wang...
SAC
2006
ACM
14 years 3 months ago
A framework for content-based image retrieval fully exploiting the semantics of annotation
We present a framework and an application for semanticbased retrieval of images. Our approach adopts a two-level ontology structure in a subset of OWL-DL. In the core ontology onl...
Tommaso Di Noia, Eugenio Di Sciascio, Francesco di...
ICIP
2003
IEEE
14 years 11 months ago
Rotation-invariant features based on steerable transforms with an application to distributed image classification
In this paper, we propose a new rotation-invariant image retrieval system based on steerable pyramids and the concept of angular alignment across scales. First, we define energy-b...
Baltasar Beferull-Lozano, Antonio Ortega, Hua Xie