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» Boosting Image Retrieval
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ICIP
2007
IEEE
14 years 9 months ago
Do Colour Interest Points Improve Image Retrieval?
In image retrieval scenarios, many methods use interest point detection at an early stage to find regions in which descriptors are calculated. Finding salient locations in image d...
Allan Hanbury, Julian Stöttinger, Nicu Sebe, ...
CIVR
2004
Springer
131views Image Analysis» more  CIVR 2004»
14 years 1 months ago
An Empirical Investigation of the Scalability of a Multiple Viewpoint CBIR System
Our work in content-based image retrieval (CBIR) relies on content-analysis of multiple representations of an image which we term multiple viewpoints or channels. The conceptual id...
James C. French, Xiangyu Jin, Worthy N. Martin
ICPR
2004
IEEE
14 years 8 months ago
Facial Image Retrieval Based on Demographic Classification
In this paper we propose a novel method for demographic classification and present an image retrieval system that can retrieve facial images by demographic information that includ...
Bo Wu, Chang Huang, Haizhou Ai
CVPR
2004
IEEE
14 years 9 months ago
BoostMap: A Method for Efficient Approximate Similarity Rankings
This paper introduces BoostMap, a method that can significantly reduce retrieval time in image and video database systems that employ computationally expensive distance measures, ...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...
CIVR
2007
Springer
144views Image Analysis» more  CIVR 2007»
14 years 1 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