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» An adaptive technique for content-based image retrieval
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EDBT
2006
ACM
172views Database» more  EDBT 2006»
14 years 4 months ago
Fast Query Point Movement Techniques with Relevance Feedback for Content-Based Image Retrieval
Abstract. Target search in content-based image retrieval (CBIR) systems refers to finding a specific (target) image such as a particular registered logo or a specific historical ph...
Danzhou Liu, Kien A. Hua, Khanh Vu, Ning Yu
CBMS
2003
IEEE
13 years 10 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...
MLDM
2001
Springer
13 years 9 months ago
Adaptive Query Shifting for Content-Based Image Retrieval
: Despite the efforts to reduce the semantic gap between user perception of similarity and featurebased representation of images, user interaction is essential to improve retrieval...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera
SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
14 years 4 months ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung
ICIP
2001
IEEE
14 years 6 months ago
A recursive optimal relevance feedback scheme for content based image retrieval
In this paper, an optimal relevance algorithm is proposed, which adapts the response of a content-based image retrieval (CBIR) system to the user's information needs. In part...
Anastasios D. Doulamis, Nikolaos D. Doulamis