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» Features for Image Retrieval: A Quantitative Comparison
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ICPR
2010
IEEE
13 years 5 months ago
Unsupervised Image Retrieval with Similar Lighting Conditions
In this work a new method to retrieve images with similar lighting conditions is presented. It is based on automatic clustering and automatic indexing. Our proposal belongs to Con...
J. Felix Serrano, Carlos Avilés, Humberto S...
AMR
2005
Springer
128views Multimedia» more  AMR 2005»
14 years 1 months ago
Ranking Invariance Based on Similarity Measures in Document Retrieval
Abstract. To automatically retrieve documents or images from a database, retrieval systems use similarity measures to compare a request based on features extracted from the documen...
Jean-François Omhover, Maria Rifqi, Marcin ...
TITB
2010
138views Education» more  TITB 2010»
13 years 2 months ago
Local structure-based region-of-interest retrieval in brain MR images
The aging population and the growing amount of medical data have increased the need for automated tools in the neurology departments. Although the researchers have been developing ...
Devrim Unay, Ahmet Ekin, Radu S. Jasinschi
ICDAR
2009
IEEE
14 years 2 months ago
Logo Matching for Document Image Retrieval
Graphics detection and recognition are fundamental research problems in document image analysis and retrieval. As one of the most pervasive graphical elements in business and gove...
Guangyu Zhu, David S. Doermann
ICIAR
2007
Springer
14 years 1 months ago
Image Retrieval Using Transaction-Based and SVM-Based Learning in Relevance Feedback Sessions
This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...
Xiaojun Qi, Ran Chang