Parallel algorithms: for digital image processing, computer vision and neural networks
Parallel algorithms: for digital image processing, computer vision and neural networks
Parallel data servers and applications
Parallel Computing - Special issues on applications: parallel data servers and applications
Wavelets for computer graphics: theory and applications
Wavelets for computer graphics: theory and applications
Visual information retrieval
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parallel and Distributed Association Mining: A Survey
IEEE Concurrency
Content-Based Multimedia Data Retrieval on Cluster System Environment
HPCN Europe '99 Proceedings of the 7th International Conference on High-Performance Computing and Networking
Study of a Parallel CBIR Implementation using MPI
CAMP '00 Proceedings of the Fifth IEEE International Workshop on Computer Architectures for Machine Perception (CAMP'00)
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
Globus toolkit version 4: software for service-oriented systems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
Efficient Grid-Based Video Storage and Retrieval
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
| Hi-index | 0.00 |
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.