Title: Reconfigurable content-based image retrieval on peer-to-peer networks

Authors: Chun-Rong Su; Jiann-Jone Chen

Addresses: Department of Electrical Engineering Department, National Taiwan University of Science and Technology, Taipei 10607, Taiwan ' Department of Electrical Engineering Department, National Taiwan University of Science and Technology, Taipei 10607, Taiwan

Abstract: Performing content-based image retrieval (CBIR) from Internet scale databases connected through peer-to-peer (P2P) networks, abbreviated as P2P-CBIR, helps to explore the large-scale image database distributed over connected peers. For P2P topology, the flexible decentralised unstructured P2P network topology is adopted, based on which informed-like searching approach enables flexible routing control when peers join/leave. The scalable retrieval control can be developed based on the P2P-CBIR framework, which can adapt the query scope and progressively refine the accuracy during the retrieval process. By reconfiguring system at each regular interval times, we can effectively reduce trivial peer routing and retrieval operations due to imprecise configurations. Experiments demonstrated that the average recall rate of the proposed P2P-CBIR method with reconfiguration is higher than that without about 10.73%, while the latter outperforms previous methods, i.e., firework query model (FQM) and breadth-first search (BFS), about 27% and 57%, respectively, under the same time-to-live (TTL) setting.

Keywords: P2P networks; peer-to-peer networks; multi-instance query; reconfigurable CBIR; content-based image retrieval; scalable retrieval; peer linking reconfiguration; ubiquitous computing; flexible routing control; average recall rate.

DOI: 10.1504/IJAHUC.2015.067785

International Journal of Ad Hoc and Ubiquitous Computing, 2015 Vol.18 No.1/2, pp.23 - 36

Received: 17 Sep 2013
Accepted: 16 May 2014

Published online: 05 Mar 2015 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article