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» Thinking of a System for Image Retrieval
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ICITA
2005
IEEE
14 years 1 months ago
Combining Diversity-Based Active Learning with Discriminant Analysis in Image Retrieval
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
ICAPR
2009
Springer
14 years 2 months ago
Color Image Retrieval Using M-Band Wavelet Transform Based Color-Texture Feature
—Feature Extraction algorithm is a very important component of any retrieval scheme. We propose M-band Wavelet Transform based feature extraction algorithm in this paper. The MxM...
Malay Kumar Kundu, Priyank Bagrecha
ISM
2008
IEEE
108views Multimedia» more  ISM 2008»
14 years 2 months ago
Optimization of Content-Based Image Retrieval Functions
Feature extraction and similarity measurement are two important operations in content-based image retrieval systems. We optimize and vectorize typical feature extraction algorithm...
Asadollah Shahbahrami, Ben H. H. Juurlink
IFIP
2005
Springer
14 years 1 months ago
Content-Based Image Retrieval for Digital Forensics
Digital forensic investigators are often faced with the task of manually examining a large number of (photographic) images in order to identify potential evidence. The task can be...
Yixin Chen, Vassil Roussev, Golden G. Richard III,...
CLEF
2007
Springer
14 years 1 months ago
Using Pseudo-Relevance Feedback to Improve Image Retrieval Results
In this paper, we propose a pseudo-relevance feedback method to deal with the photographic retrieval and medical retrieval tasks of ImageCLEF 2007. The aim of our participation to...
Mouna Torjmen, Karen Pinel-Sauvagnat, Mohand Bough...