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» Analysis of Relevance Feedback in Content Based Image Retrie...
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106
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MMSP
2008
IEEE
349views Multimedia» more  MMSP 2008»
15 years 5 months ago
Content based image retrieval using curvelet transform
Abstract—Feature extraction is a key issue in contentbased image retrieval (CBIR). In the past, a number of texture features have been proposed in literature, including statistic...
Ishrat Jahan Sumana, Md. Monirul Islam, Dengsheng ...
CVPR
2004
IEEE
16 years 27 days ago
Object-Based Image Retrieval Using the Statistical Structure of Images
We propose a new Bayesian approach to object-based image retrieval with relevance feedback. Although estimating the object posterior probability density from few examples seems in...
Derek Hoiem, Rahul Sukthankar, Henry Schneiderman,...
CIVR
2005
Springer
107views Image Analysis» more  CIVR 2005»
15 years 4 months ago
Region Filtering Using Color and Texture Features for Image Retrieval
This paper presents a region-based image retrieval (RBIR) system in which users can choose specific regions as the query. Our goal is to assist the user to formulate more precise q...
Cheng-Chieh Chiang, Ming-Han Hsieh, Yi-Ping Hung, ...
94
Voted
CBMS
2003
IEEE
15 years 4 months ago
Integrating Images to Patient Electronic Medical Records through Content-Based Retrieval Techniques
This paper presents the SRIS-HC – an Patient Electronic Medical Record System with support for Content-based Image Retrieval, developed aiming at demonstrating the benefits of h...
Agma J. M. Traina, Natalia Abdala Rosa, Caetano Tr...
MM
2006
ACM
203views Multimedia» more  MM 2006»
15 years 4 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian