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CVPR
2008
IEEE
15 years 6 days 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
ICPR
2000
IEEE
14 years 2 months ago
(Semi-) Automatic Segmentation in Historic Collections of Heraldic Images
A modern approach to manage multimedia databases is content-based retrieval. Especially in image databases graphical features like color, texture or shape can be used efficiently ...
Jürgen Vogel, Wolf-Tilo Balke, Werner Kie&szl...
FGR
2004
IEEE
134views Biometrics» more  FGR 2004»
14 years 1 months ago
Face Contour Construction with Multiple Information
In this paper, we present a new method to obtain the contours of color faces. First, we introduce a new nonlinear skin classifier to detect the human skin information in images. T...
Jinfeng Yang, Tieniu Tan, Weiming Hu
WILF
2009
Springer
196views Fuzzy Logic» more  WILF 2009»
14 years 2 months ago
Interactive Image Retrieval in a Fuzzy Framework
In this paper, an interactive image retrieval scheme using MPEG-7 visual descriptors is proposed. The performance of image retrieval systems is still limited due to semantic gap, w...
Malay Kumar Kundu, Minakshi Banerjee, Priyank Bagr...
CVPR
2005
IEEE
15 years 6 days ago
A Semi-Supervised Active Learning Framework for Image Retrieval
Although recent studies have shown that unlabeled data are beneficial to boosting the image retrieval performance, very few approaches for image retrieval can learn with labeled a...
Steven C. H. Hoi, Michael R. Lyu