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» Thinking of a System for Image Retrieval
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CVPR
2008
IEEE
14 years 9 months ago
Semi-supervised distance metric learning for Collaborative Image Retrieval
Typical content-based image retrieval (CBIR) solutions with regular Euclidean metric usually cannot achieve satisfactory performance due to the semantic gap challenge. Hence, rele...
Steven C. H. Hoi, Wei Liu, Shih-Fu Chang
ICCV
1998
IEEE
13 years 12 months ago
Condensing Image Databases when Retrieval is Based on Non-Metric Distances
One of the key problems in appearance-based vision is understanding how to use a set of labeled images to classify new images. Classification systems that can model human performa...
David W. Jacobs, Daphna Weinshall, Yoram Gdalyahu
MMSP
2008
IEEE
204views Multimedia» more  MMSP 2008»
14 years 2 months ago
Color restoration for objects of interest using robust image features
—Illumination distortion due to uncontrolled lighting can severely degrade the color appearance of a photo. Frequently, the desired colors for objects in a newly taken query imag...
David M. Chen, Vijay Chandrasekhar, Gabriel Takacs...
TKDE
1998
117views more  TKDE 1998»
13 years 7 months ago
Data Resource Selection in Distributed Visual Information Systems
With the increasing number of geographical image databases on the Internet, it is a very important issue to know about the most relevant image databases for given user queries, in...
Wendy Chang, Gholamhosein Sheikholeslami, Jia Wang...
ACMDIS
2004
ACM
14 years 1 months ago
The information discovery framework
This paper continues the movement from technology centered to human centered approaches in the study of tasks that involve finding, understanding, and using information, and tools...
Andruid Kerne, Steven M. Smith