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» XMage: An image retrieval method based on partial similarity
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MIR
2006
ACM
178views Multimedia» more  MIR 2006»
15 years 3 months ago
Dual diffusion model of spreading activation for content-based image retrieval
This paper introduces a content-based information retrieval method inspired by the ideas of spreading activation models. In response to a given query, the proposed approach comput...
Serhiy Kosinov, Stéphane Marchand-Maillet, ...
CISST
2004
164views Hardware» more  CISST 2004»
14 years 11 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp
ICDE
2000
IEEE
189views Database» more  ICDE 2000»
15 years 11 months ago
Image Database Retrieval with Multiple-Instance Learning Techniques
In this paper, we develop and test an approach to retrieving images from an image database based on content similarity. First, each picture is divided into many overlapping region...
Cheng Yang, Tomás Lozano-Pérez
CIVR
2007
Springer
144views Image Analysis» more  CIVR 2007»
15 years 3 months ago
Image retrieval on large-scale image databases
Online image repositories such as Flickr contain hundreds of millions of images and are growing quickly. Along with that the needs for supporting indexing, searching and browsing ...
Eva Hörster, Rainer Lienhart, Malcolm Slaney
CVPR
2004
IEEE
15 years 1 months ago
Learning in Region-Based Image Retrieval with Generalized Support Vector Machines
Relevance feedback approaches based on support vector machine (SVM) learning have been applied to significantly improve retrieval performance in content-based image retrieval (CBI...
Iker Gondra, Douglas R. Heisterkamp