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» Document Retrieval Using SIFT Image Features
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ICPR
2008
IEEE
16 years 6 months ago
Object detection at multiple scales improves accuracy
For detecting objects in natural visual scenes, several powerful image features have been proposed which can collectively be described as spatial histograms of oriented energy. Th...
Stanley M. Bileschi
CIVR
2004
Springer
194views Image Analysis» more  CIVR 2004»
15 years 10 months ago
A Test-Bed for Region-Based Image Retrieval Using Multiple Segmentation Algorithms and the MPEG-7 eXperimentation Model: The Sch
The aim of the SCHEMA Network of Excellence is to bring together a critical mass of universities, research centers, industrial partners and end users, in order to design a referenc...
Vasileios Mezaris, Haralambos Doulaverakis, Raul M...
ICPR
2008
IEEE
15 years 11 months ago
Combining local descriptors for 3D object recognition and categorization
Various local descriptors have been used successfully in a variety of tasks including object recognition. Although different descriptors have been shown to have different strength...
Andrea Salgian
ICMCS
2005
IEEE
120views Multimedia» more  ICMCS 2005»
15 years 10 months ago
Picturefinder: Description Logics for Semantic Image Retrieval
Large amount of images need an efficient way of retrieving them. The usual approach of manually annotating images and/or providing a syntactic retrieval capability lacks flexibi...
Jean-Pierre Schober, Thorsten Hermes, Otthein Herz...
CVPR
2006
IEEE
16 years 6 months ago
A Simple Bayesian Framework for Content-Based Image Retrieval
We present a Bayesian framework for content-based image retrieval which models the distribution of color and texture features within sets of related images. Given a userspecified ...
Katherine A. Heller, Zoubin Ghahramani