End-to-End Adaptive Framework for Multimedia Information Retrieval

Maria Sokhn (1) , Elena Mugellini (1) , Omar Abou Khaled (1) , Ahmed Serhrouchni (2)

1 University of Applied Sciences of Western Switzerland
2 Télécom ParisTech

The evolution of the web in the last decades has created the need for new requirements towards intelligent information retrieval capabilities and advanced user-oriented services. The current web integrates heterogeneous and distributed data such as XML database, relational database, P2P networks etc. leading to the coexistence of different data models and consequently different query languages. In this context, effective retrieval and usage of multimedia resources have to deal with the issues of creating efficient content based indexes, developing retrieval tools and improving user-oriented visualization interfaces. To that end we put forward an end-to-end adaptive framework based on an ontological model. This framework aims at enhancing the management, retrieval and visualization of multimedia information resources based on semantic techniques.

Mots clés: knowledge management; querying; visualization; ontology; P2P network

Domaines: Informatique [cs]; Réseaux et télécommunications [cs.NI]

Maria Sokhn, Elena Mugellini, Omar Abou Khaled, Ahmed Serhrouchni. End-to-End Adaptive Framework for Multimedia Information Retrieval. 9th Wired/Wireless Internet Communications (WWIC), Jun 2011, Vilanova i la Geltrú, Spain. pp.197-206, ⟨10.1007/978-3-642-21560-5_17⟩. ⟨hal-01583629⟩