Abstract
Developing an efficient system that manages distributed multimedia content supposes to minimize resource consumption while providing the most relevant results for a user’s query in the shortest time. This paper presents LINDO, a generic architecture framework for distributed systems that acquires efficiency in multimedia indexing and retrieval. Three characteristics particularize it: (1) it differentiates between implicit algorithms executed over all the multimedia content at the acquisition time, and explicit algorithms, executed on demand for answering a specific need; (2) it stores and processes multimedia content and metadata locally, instead of transferring and indexing it on a central server; (3) it selects a set of relevant servers for query execution based on the user query semantic processing and on the system knowledge, including descriptions of distributed servers, multimedia content and indexing algorithms. The paper relies on a concrete implementation of the LINDO framework in order to validate this contribution.
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Brut, M., Codreanu, D., Dumitrescu, S., Manzat, AM., Sedes, F. (2011). A Distributed Architecture for Flexible Multimedia Management and Retrieval. In: Hameurlain, A., Liddle, S.W., Schewe, KD., Zhou, X. (eds) Database and Expert Systems Applications. DEXA 2011. Lecture Notes in Computer Science, vol 6861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23091-2_22
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