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SIGIR
2005
ACM
15 years 3 months ago
A database centric view of semantic image annotation and retrieval
We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...
Gustavo Carneiro, Nuno Vasconcelos
ICIP
2001
IEEE
15 years 11 months ago
Support vector machine learning for image retrieval
In this paper, a novel method of relevance feedback is presented based on Support Vector Machine learning in the content-based image retrieval system. A SVM classifier can be lear...
Lei Zhang, Fuzong Lin, Bo Zhang
CVPR
2004
IEEE
15 years 1 months ago
Learning in Region-Based Image Retrieval with Generalized Support Vector Machines
Relevance feedback approaches based on support vector machine (SVM) learning have been applied to significantly improve retrieval performance in content-based image retrieval (CBI...
Iker Gondra, Douglas R. Heisterkamp
95
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ICVS
2009
Springer
15 years 4 months ago
Learning Query-Dependent Distance Metrics for Interactive Image Retrieval
An approach to target-based image retrieval is described based on on-line rank-based learning. User feedback obtained via interaction with 2D image layouts provides qualitative co...
Junwei Han, Stephen J. McKenna, Ruixuan Wang
SIBGRAPI
2008
IEEE
15 years 4 months ago
A Genetic Programming Approach for Relevance Feedback in Region-Based Image Retrieval Systems
This paper presents a new relevance feedback method for content-based image retrieval using local image features. This method adopts a genetic programming approach to learn user p...
Jefersson Alex dos Santos, Cristiano D. Ferreira, ...