CBIR on Grids

From the computational point of view, Content-based Im- age Retrieval systems are potentially expensive and have user response times growing with the ever-increasing sizes of the databases associated to them This paper presents a grid implementation of a Content-based Image Retrieval system that offers a good cost/performance ratio to solve this problem due to their excellent flexibility, scalability and fault tolerance This approach allows a dynamic management of specific data- bases that can be incorporated to or removed from the CBIR system in function of the desired user query Experimental performance results are collected in order to show the feasibility of this solution.

[1]  Luis Pastor,et al.  Study of a parallel CBIR implementation using MPI , 2000, Proceedings Fifth IEEE International Workshop on Computer Architectures for Machine Perception.

[2]  Ioannis Pitas,et al.  Parallel Algorithms for Digital Image Processing, Computer Vision and Neural Networks , 1993 .

[3]  Mohammed J. Zaki Parallel and distributed association mining: a survey , 1999, IEEE Concurr..

[4]  Oleg Starostenko,et al.  Content-based image retrieval using wavelets , 2008 .

[5]  Francine Berman,et al.  Overview of the Book: Grid Computing – Making the Global Infrastructure a Reality , 2003 .

[6]  Richard R. Muntz,et al.  Parallel data servers and applications , 1998 .

[7]  Alberto Del Bimbo,et al.  Visual information retrieval , 1999 .

[8]  E. J. Stollnitz,et al.  Wavelets for Computer Graphics : A Primer , 1994 .

[9]  Oscar D. Robles,et al.  TOWARDS A CONTENT-BASED VIDEO RETRIEVAL SYSTEM USING WAVELET-BASED SIGNATURES , .

[10]  Ian T. Foster Globus Toolkit Version 4: Software for Service-Oriented Systems , 2005, NPC.

[11]  David Salesin,et al.  Wavelets for computer graphics: theory and applications , 1996 .

[12]  M. Maresca Scanning the Special Issue on Parallel Architectures for Image Processing , 1996, Proceedings of the IEEE.

[13]  Marcel Worring,et al.  Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Nigel P. Topham,et al.  Performance of the decoupled ACRI-1 architecture: the perfect club , 1995, HPCN Europe.

[15]  Nikitas A. Alexandridis,et al.  Content-Based Multimedia Data Retrieval on Cluster System Environment , 1999, HPCN Europe.

[16]  David Salesin,et al.  Wavelets for computer graphics: a primer. 2 , 1995, IEEE Computer Graphics and Applications.