By Topic

A 2-Layered Infrastructure of Content-Based Image Retrieval on Peer-to-Peer Network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Wei Mao ; Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan ; Jie Yang

There are currently two interface types for searching and browsing large image collections: keyword-based image retrieval (KBIR), and content-based image retrieval (CBIR). The KBIR system searches images according to the text of keyword annotated on images. This method is simple and relative effective to the query user, however, manpower-costly and likely to result in semantic gap. Because of the inherently complicated characteristics of image information, the CBIR system is of extremely high computing performance demand and hardly scalable due to the centralized architecture of traditional Client/Server network. We argue process of CBIR and similarity measurement of images, propose an index model in image database for CBIR system, and then present a hybrid peer-to-peer (P2P) network model of CBIR system based on 2-layered infrastructure in which the advantages of both distributed computing and centralized managing are integrated. We finally implement a prototype of this CBIR system on the JXTA framework.

Published in:

Communications and Mobile Computing, 2009. CMC '09. WRI International Conference on  (Volume:3 )

Date of Conference:

6-8 Jan. 2009