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» Active Learning Methods for Interactive Image Retrieval
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ICIP
1999
IEEE
16 years 1 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 1 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 27 days 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 25 days 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 1 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