NDLI: Content-Based Image Retrieval on Reconfigurable Peer-to-Peer Networks

Content Provider	IEEE Xplore Digital Library
Author	Chun-Rong Su Jiann-Jone Chen Kai-Lin Chang
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan (Chun-Rong Su; Jiann-Jone Chen; Kai-Lin Chang)
Abstract	Performing Content-Based Image Retrieval (CBIR) from Internet databases connected through Peer-to-Peer (P2P) network, abbreviated as P2P-CBIR, helps to effectively explore the large-scale image database distributed over connected peers. Decentralized unstructured P2P framework is adopted in our system to compromise with the structured one while still reserving flexible routing control when peers join/leave or network fails. The P2P-CBIR search engine is designed to provide multiinstance query with multi-feature types to effectively reduce network traffic and maintain high retrieval accuracy. The proposed P2P-CBIR system is also designed to provide scalable retrieval control, which can adaptively control the query scope and progressively refine the accuracy of retrieved results. We also proposed to provide the most updated local database characteristics for the P2P-CBIR users. By reconfiguring system at each regular interval time, we can effectively reduce trivial peer routing and retrieval operations due to imprecise configuration. Experiments demonstrated that the average recall rate of the proposed P2P-CBIR with reconfiguration is higher than that of the one without about 10.73%, and the latter outperforms previous methods, i.e., firework query model (FQM) and breadth first search (BFS) about 27% and 57%, respectively, under the same range of TTL values.
Starting Page	203
Ending Page	211
File Size	638244
Page Count	9
File Format	PDF
e-ISBN	9781467353144
DOI	10.1109/ISBAST.2013.36
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Image color analysis Shape Databases multi-instance query peer-to-peer networks scalable retrieval Feature extraction Vectors Peer-to-peer computing content-based image retrieval network search reconfiguration
Content Type	Text
Resource Type	Article

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