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» Building self-organized image retrieval network
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IROS
2008
IEEE
144views Robotics» more  IROS 2008»
11 years 12 months ago
Frame rate object extraction from video sequences with self organizing networks and statistical background detection
— In many computer vision related applications it is necessary to distinguish between the background of an image and the objects that are contained in it. This is a difficult pr...
Thiago C. Bellardi, Dizan Vasquez, Christian Laugi...
CIKM
2008
Springer
11 years 7 months ago
Building self-organized image retrieval network
We propose a self-organized content-based Image Retrieval Network (IRN) that is inspired by a Metric Social Network (MSN) search system. The proposed network model is strictly dat...
Stanislav Barton, Vlastislav Dohnal, Jan Sedmidubs...
MTA
2010
175views more  MTA 2010»
11 years 4 months ago
Building a web-scale image similarity search system
As the number of digital images is growing fast and Content-based Image Retrieval (CBIR) is gaining in popularity, CBIR systems should leap towards Webscale datasets. In this paper...
Michal Batko, Fabrizio Falchi, Claudio Lucchese, D...
ICIP
2002
IEEE
12 years 7 months ago
SPIN-IT: a data centric routing protocol for image retrieval in wireless networks
In this paper, we propose and analyze a routing protocol for mobile ad hoc networks that supports efficient image retrieval based on metadata queries. In digital photography, meta...
Edward Woodrow, Wendi Rabiner Heinzelman
MVA
2002
178views Computer Vision» more  MVA 2002»
11 years 5 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
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