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» Boosting Image Retrieval
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CVPR
2008
IEEE
14 years 11 months ago
Multiple-instance ranking: Learning to rank images for image retrieval
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
Yang Hu, Mingjing Li, Nenghai Yu
CVPR
2010
IEEE
14 years 2 months ago
Facial Point Detection using Boosted Regression and Graph Models
Finding fiducial facial points in any frame of a video showing rich naturalistic facial behaviour is an unsolved problem. Yet this is a crucial step for geometric-featurebased fa...
Michel Valstar, Brais Martinez, Xavier Binefa, Maj...
CIVR
2007
Springer
104views Image Analysis» more  CIVR 2007»
14 years 3 months ago
Semantic facets: an in-depth analysis of a semantic image retrieval system
This paper introduces a faceted model of image semantics which attempts to express the richness of semantic content interpretable within an image. Using a large image data-set fro...
Jonathon S. Hare, Paul H. Lewis, Peter G. B. Enser...
CORR
2010
Springer
194views Education» more  CORR 2010»
13 years 5 months ago
An Effective Method of Image Retrieval using Image Mining Techniques
The present research scholars are having keen interest in doing their research activities in the area of Data mining all over the world. Especially, [13]Mining Image data is the o...
A. Kannan, V. Mohan, N. Anbazhagan
MIR
2004
ACM
113views Multimedia» more  MIR 2004»
14 years 2 months ago
Texture based medical image indexing and retrieval: application to cardiac imaging
Although digital images indexing and querying techniques have extensively been studied for the last years, few systems are dedicated to medical images today while the need for con...
Tristan Glatard, Johan Montagnat, Isabelle E. Magn...