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» Active Learning Methods for Interactive Image Retrieval
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ICIP
1999
IEEE
16 years 3 months ago
Interactive Color Image Segmentation Editor Driven by Active Contour Model
A new general-purpose color image segmentation editor (CISE) for the purpose of extracting a semantic object is designed, implemented and tested on a number of various natural sce...
Jean Gao, Akio Kosaka, Avinash C. Kak
ICCV
2007
IEEE
16 years 3 months ago
Locally Smooth Metric Learning with Application to Image Retrieval
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
Dit-Yan Yeung, Hong Chang
ICPR
2008
IEEE
16 years 3 months ago
Learning weighted distances for relevance feedback in image retrieval
We present a new method for relevance feedback in image retrieval and a scheme to learn weighted distances which can be used in combination with different relevance feedback metho...
Enrique Vidal, Hermann Ney, Roberto Paredes, Thoma...
VISAPP
2007
15 years 3 months ago
Texture based image indexing and retrieval
The Content Based Image Retrieval (CBIR) has been an active research area. Given a collection of images, it is to retrieve the images based on a query image, which is specified by...
N. Gnaneswara Rao, V. Vijaya Kumar
CISST
2004
164views Hardware» more  CISST 2004»
15 years 3 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp