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SIGIR
2003
ACM
14 years 20 days ago
Image classification using hybrid neural networks
Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on t...
Chih-Fong Tsai, Kenneth McGarry, John Tait
PRL
2006
117views more  PRL 2006»
13 years 7 months ago
Multiscale Fourier descriptors for defect image retrieval
Shape is an essential visual feature of an image and it is widely used to describe image content in image classification and retrieval. In this paper, two new Fourier-based approa...
Iivari Kunttu, Leena Lepistö, Juhani Rauhamaa...
ICPR
2010
IEEE
14 years 8 days ago
Active Boosting for Interactive Object Retrieval
This paper presents a new algorithm based on boosting for interactive object retrieval in images. Recent works propose ”online boosting” algorithms where weak classifier sets...
Alexis Lechervy, Philippe Henri Gosselin, Frederic...
MVA
2000
203views Computer Vision» more  MVA 2000»
13 years 8 months ago
An Environment to Test Progressive Refinement of Indexing for Content-Based Image Retrieval
Content-based image retrieval is a fairly new discipline. Yet research in this field has highlighted many approaches that show good performance in specific subproblems using singl...
Maria Grazia Albanesi, Marco Ferretti, Alessandro ...
VISUAL
1999
Springer
13 years 11 months ago
General Image Database Model
In this paper we propose a new General Image DataBase (GIDB) model. The model establishes taxonomy based on the systematisation of existing approaches. The GIDB model is based on t...
Peter L. Stanchev