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ICCV
2011
IEEE
14 years 6 months ago
HEAT: Iterative Relevance Feedback with One Million Images
It has been shown repeatedly that iterative relevance feedback is a very efficient solution for content-based image retrieval. However, no existing system scales gracefully to hu...
Nicolae Suditu, Francois Fleuret
CIVR
2006
Springer
139views Image Analysis» more  CIVR 2006»
15 years 10 months ago
Finding People Frequently Appearing in News
Abstract. We propose a graph based method to improve the performance of person queries in large news video collections. The method benefits from the multi-modal structure of videos...
Derya Ozkan, Pinar Duygulu
CIVR
2007
Springer
112views Image Analysis» more  CIVR 2007»
16 years 15 days ago
Practice and challenges in trademark image retrieval
In this paper, we outline some of the main challenges facing trademark searchers today, and discuss the extent to which current automated systems are meeting those challenges. Cat...
Jan Schietse, John P. Eakins, Remco C. Veltkamp
CG
2010
Springer
15 years 6 months ago
An evaluation of descriptors for large-scale image retrieval from sketched feature lines
We address the problem of fast, large scale sketch-based image retrieval, searching in a database of over one million images. We show that current retrieval methods do not scale w...
Mathias Eitz, Kristian Hildebrand, Tamy Boubekeur,...
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
15 years 11 months ago
Reducing the Cost of the Hybrid Evolutionary Algorithm with Image Local Response in Electronic Imaging
Abstract. The paper focuses on the efficiency of the hybrid evolutionary algorithm (HEA) for solving the global optimization problem arising in electronic imaging. The particular v...
Igor V. Maslov