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» Textural Features and Relevance Feedback for Image Retrieval
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ICIP
2005
IEEE
15 years 5 months ago
Content-based medical image retrieval using dynamically optimized regional features
This paper proposes a content-based medical image retrieval (CBMIR) framework using dynamically optimized features from multiple regions of medical images. These regional features...
Wei Xiong, Bo Qiu, Qi Tian, Changsheng Xu, Sim Hen...
AMR
2006
Springer
119views Multimedia» more  AMR 2006»
15 years 1 months ago
The Potential of User Feedback Through the Iterative Refining of Queries in an Image Retrieval System
Inaccurate or ambiguous expressions in queries lead to poor results in information retrieval. We assume that iterative user feedback can improve the quality of queries. To this end...
Maher Ben Moussa, Marco Pasch, Djoerd Hiemstra, Pa...
ICMCS
2008
IEEE
156views Multimedia» more  ICMCS 2008»
15 years 6 months ago
A fuzzy statistical correlation-based approach to content-based image retrieval
This paper presents an effective fuzzy long-term semantic learning method for relevance feedback-based image retrieval. The proposed system uses a statistical correlationbased met...
Xiaojun Qi, Ran Chang
CBMS
2009
IEEE
15 years 3 months ago
A medical image retrieval framework in correlation enhanced visual concept feature space
This paper presents a medical image retrieval framework that uses visual concepts in a feature space employing statistical models built using a probabilistic multi-class support v...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...
ICIP
2008
IEEE
16 years 1 months ago
Fast adaptive Mahalanobis distance-based search and retrieval in image databases
Motivated by the need to efficiently leverage user relevance feedback in content-based retrieval from image databases, we propose a fast, clustering-based indexing technique for e...
Sharadh Ramaswamy, Kenneth Rose