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» Image Retrieval: The MIRACLE Approach
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CIKM
1999
Springer
15 years 5 months ago
Architecture of a Networked Image Search and Retrieval System
Large scale networked image retrieval systems face a number of problems that are not fully satis ed by current systems. On one hand, integrated solutions that store all image data...
Roger Weber, Jürg Bolliger, Thomas R. Gross, ...
CVPR
2004
IEEE
16 years 3 months ago
Learning Distance Functions for Image Retrieval
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
MM
2005
ACM
171views Multimedia» more  MM 2005»
15 years 7 months ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
MIR
2004
ACM
236views Multimedia» more  MIR 2004»
15 years 7 months ago
Boosting contextual information in content-based image retrieval
We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...
Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers...
ECCV
2004
Springer
16 years 3 months ago
Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval
This paper is about the work on user relevance feedback in image retrieval. We take this problem as a standard two-class pattern classification problem aiming at refining the retri...
Ruofei Zhang, Zhongfei (Mark) Zhang