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ICMCS
2005
IEEE
155views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Content-Free Image Retrieval Based on Relations Exploited from User Feedbacks
We propose a new “content-free” image retrieval method which attempts to exploit certain common tendencies that exist among people’s interpretation of images from user feedb...
Shingo Uchihashi, Takeo Kanade
CIVR
2005
Springer
107views Image Analysis» more  CIVR 2005»
14 years 1 months ago
Content-Free Image Retrieval by Combinations of Keywords and User Feedbacks
The performance of a new content-free approach to image retrieval is demonstrated. Accumulated user feedback data that specify which images are (ir)relevant to each other and keywo...
Shingo Uchihashi, Takeo Kanade
CBMS
2003
IEEE
14 years 24 days ago
A Prototype Content-Based Image Retrieval System for Spine X-Rays
L. Rodney Long, Sameer Antani, George R. Thoma
MVA
2002
178views Computer Vision» more  MVA 2002»
13 years 7 months ago
Advanced Image Retrieval Using Multi-resolution Image Content
We introduce an image retrieval method for searchingan image database by using a query image that has similarity in its global and/or regional image contents to the intended targe...
Motohide Yoshimura, Hajime Kiyose, Shigeo Abe
ICIP
2000
IEEE
14 years 9 months ago
Area Morphological Segmentation for Content Based Retrieval
Badrinarayan Raghunathan, Scott T. Acton