Tammam Tillo, CERCOM - Center for Multimedia Radio Communications, Dipartimento di Elettronica - Politecnico di Torino, Corso Duca degli Abruzzi 24 - 10129 Torino - Italy. Ph.: +39-011-2276510 - FAX: +39-
Marco Grangetto, CERCOM - Center for Multimedia Radio Communications, Dipartimento di Elettronica - Politecnico di Torino, Corso Duca degli Abruzzi 24 - 10129 Torino - Italy. Ph.: +39-011-2276510 - FAX: +39-
Gabriella Olmo, CERCOM - Center for Multimedia Radio Communications, Dipartimento di Elettronica - Politecnico di Torino, Corso Duca degli Abruzzi 24 - 10129 Torino - Italy. Ph.: +39-011-2276510 - FAX: +39-
In order to store, and retrieve images from large databases, we propose a framework, based on multiple description coding paradigm, that disseminates images over distributed servers. Consequently, decentralized download can be performed, thus reducing links overload and hotspot areas without penalizing downloads speed. Moreover, the trade-off between system reliability and storage requirement can be achieved by tuning descriptions redundancy, thus providing high flexibility in terms of storage resources, reliability of access, and performance. The scalability of the proposed framework is achieved by the intrinsic progressivity of the multiple description schemes. Moreover, we demonstrate that system can work properly regardless of server crashes.
Citation:
Tammam Tillo, Marco Grangetto, Gabriella Olmo, "Scalable Image Retrieval from Distributed Images Database," icme, pp.1789-1792, 2006 IEEE International Conference on Multimedia and Expo, 2006