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» Image Retrieval: The MIRACLE Approach
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ICCV
2007
IEEE
16 years 1 months ago
Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval
Closing the semantic gap in content based image retrieval (CBIR) basically requires the knowledge of the user's intention which is usually translated into a sequence of quest...
Hichem Sahbi, Jean-Yves Audibert, Renaud Keriven
MMDB
2003
ACM
94views Multimedia» more  MMDB 2003»
15 years 5 months ago
Improving image retrieval effectiveness via multiple queries
Conventional approaches to image retrieval are based on the assumption that relevant images are physically near the query image in some feature space. This is the basis of the clu...
Xiangyu Jin, James C. French
ISBI
2004
IEEE
16 years 17 days ago
Search Space Partitioning Using Convex Hull and Concavity Features for Fast Medical Image Retrieval
A new approach is presented for partitioning an image database by classifying and indexing the convex hull shapes and the number of region concavities. The result is a significant...
Phillip Mlsna, Nikolay Sirakov
ICMCS
2005
IEEE
178views Multimedia» more  ICMCS 2005»
15 years 5 months ago
On the Earth Mover's Distance as a histogram similarity metric for image retrieval
In this paper, the performance of the Earth Mover’s Distance (EMD) vs χ2 distance as histogram similarity metrics for image retrieval is evaluated experimentally. Ground truth ...
Zhenghua Yu, Gunawan Herman
FUZZY
1999
Springer
196views Fuzzy Logic» more  FUZZY 1999»
15 years 4 months ago
A Human Centered Architecture for Distributed Retrieval of Medical Images
In this paper we describe a distributed retrieval system for medical images based on a Human Centered Virtual Machine (HCVM). HCVM layered architecture allows indexing and retrieva...
R. Castelletti, Ernesto Damiani, Giovanni Righini,...