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N owadays, almost every human activity generates multimedia content. This content is acquired in real time and stored in different, heterogeneous locations. In order to deal with the proliferation of multimedia content and metadata, some research teams (see the ''Related Work'' sidebar) advise the use of distributed architectures where information can be(More)
In this article we are presenting a solution for the problem of combining various indexation algorithms in order to acquire a semantic multimedia indexation and to provide responses to the user complex queries. The challenge of this problem concerns the big heterogeneity of the multimedia indexation algorithms and the weak semantic aspect they address. Our(More)
Currently, many multimedia contents are acquired and stored in real time and on different locations. In order to retrieve efficiently some desired information and avoid centralizing all metadata, we propose to compute a metadata summary, i.e., a concise version of the whole metadata, which guides the location of some desired multimedia contents. The(More)
— Currently, many multimedia contents are acquired and stored in real time and on different locations. These contents are indexed in order to provide some metadata that are used during the retrieval process. However, several existing metadata standards can be used for describing the content, and mixing them do not ensure interoperability. To overcome this(More)
A recent trend in multimedia information retrieval systems is the integration of users, by their preferences and interests, in the retrieval process. Generally, such systems consider the user only after the query's execution, while the results' presentation. We propose to consider the user as a source of metadata, by exploiting his behaviour and to enrich(More)
Due to the dramatically increasing amount of multimedia contents in several application domains, effective and flexible solutions for distributed data indexation are essential. In the management of these multimedia contents, the indexing process is the most important resource consumer, in terms of data transfer over the network and CPU consumption. As(More)
The videos recorded by video surveillance systems represent a key element in a police inquiry. Based on a spatio-temporal query specified by a victim, (e.g., the trajectory of the victim before and after the aggression) the human operators select the cameras that could contain relevant information and analyse the corresponding video contents. This task(More)