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» Features for Image Retrieval: A Quantitative Comparison
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CVPR
2007
IEEE
14 years 9 months ago
A Binning Scheme for Fast Hard Drive Based Image Search
In this paper we investigate how to scale a content based image retrieval approach beyond the RAM limits of a single computer and to make use of its hard drive to store the featur...
David Nistér, Friedrich Fraundorfer, Henrik...
CVPR
2008
IEEE
14 years 9 months ago
Unsupervised estimation of segmentation quality using nonnegative factorization
We propose an unsupervised method for evaluating image segmentation. Common methods are typically based on evaluating smoothness within segments and contrast between them, and the...
Roman Sandler, Michael Lindenbaum
ISBI
2006
IEEE
14 years 8 months ago
Improved segmentation of focal cortical dysplasia lesions on MRI using expansion towards cortical boundaries
Focal cortical dysplasia (FCD), a malformation of cortical development, is an important cause of intractable epilepsy. On Magnetic Resonance Images (MRI), FCD lesions are difficul...
Olivier Colliot, Tommaso Mansi, Pierre Besson, Ned...
TOG
2012
279views Communications» more  TOG 2012»
11 years 10 months ago
Sketch-based shape retrieval
We develop a system for 3D object retrieval based on sketched feature lines as input. For objective evaluation, we collect a large number of query sketches from human users that a...
Mathias Eitz, Ronald Richter, Tamy Boubekeur, Kris...
ICMCS
2007
IEEE
126views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Learning from Relevance Feedback Sessions using a K-Nearest-Neighbor-Based Semantic Repository
This paper introduces a flexible learning approach for image retrieval with relevance feedback. A semantic repository is constructed offline by applying the k-nearest-neighborbase...
Matthew Royal, Ran Chang, Xiaojun Qi