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» Feature selection for content-based image retrieval
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GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
13 years 9 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
MIR
2005
ACM
133views Multimedia» more  MIR 2005»
14 years 2 months ago
Probabilistic web image gathering
We propose a new method for automated large scale gathering of Web images relevant to specified concepts. Our main goal is to build a knowledge base associated with as many conce...
Keiji Yanai, Kobus Barnard
ICIP
2010
IEEE
13 years 6 months ago
Dynamic selection of a feature-rich query frame for mobile video retrieval
In this paper, we focus on a new application of mobile visual search: snapping a photo with a mobile device of a video playing on a TV screen to automatically retrieve and stream ...
David M. Chen, Ngai-Man Cheung, Sam S. Tsai, Vijay...
CVPR
2009
IEEE
15 years 3 months ago
Learning query-dependent prefilters for scalable image retrieval
We describe an algorithm for similar-image search which is designed to be efficient for extremely large collections of images. For each query, a small response set is selected by...
Lorenzo Torresani (Dartmouth College), Martin Szum...
MM
2009
ACM
185views Multimedia» more  MM 2009»
14 years 3 months ago
Deep exploration for experiential image retrieval
Experiential image retrieval systems aim to provide the user with a natural and intuitive search experience. The goal is to empower the user to navigate large collections based on...
Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Mic...