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» Boosting Image Retrieval
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CBMS
2006
IEEE
14 years 4 months ago
Automatic Medical Image Annotation and Retrieval Using SECC
The demand for automatically annotating and retrieving medical images is growing faster than ever. In this paper, we present a novel medical image annotation method based on the p...
Jian Yao, Sameer Antani, L. Rodney Long, George R....
ICIP
2002
IEEE
14 years 3 months ago
A graphic-theoretic model for incremental relevance feedback in image retrieval
Many traditional relevance feedback approaches for CBIR can only achieve limited short-term performance improvement without benefiting long-term performance. To remedy this limita...
Yueting Zhuang, Jun Yang 0003, Qing Li, Yunhe Pan
ISVC
2005
Springer
14 years 3 months ago
Using Linguistic Models for Image Retrieval
This research addresses the problem of image retrieval by exploring the semantic relationships that exist between image annotations. This is done by using linguistic relationships ...
Brian Zambrano, Rahul Singh, Bibek Dev Bhattarai
SSPR
2010
Springer
13 years 8 months ago
Large-Scale Text to Image Retrieval Using a Bayesian K-Neighborhood Model
Abstract. In this paper we introduce a new approach aimed at solving the problem of image retrieval from text queries. We propose to estimate the word relevance of an image using a...
Roberto Paredes
ICIP
2010
IEEE
13 years 8 months ago
Gradient field descriptor for sketch based retrieval and localization
We present an image retrieval system driven by free-hand sketched queries depicting shape. We introduce Gradient Field HoG (GF-HOG) as a depiction invariant image descriptor, enca...
Rui Hu, Mark Barnard, John P. Collomosse