Annotate, Query and Design Multimedia Documents by Metadata

In this paper, we focus on the managing of multimedia document and more precisely on the annotation and the generation of adaptable multimedia documents. Our solution is directed towards analysing the ways to “bridge the gap” between physical and semantic levels, for multimedia document modelling and querying. Our goal is to describe how to model and unify features elicited from content and structure mining. These descriptors are built from the various features elicited from the multimedia documents using available processing techniques. The personalization enables dynamic re-structuring and reconstruction of hypermedia documents answering to the user queries. However, more factors should be considered in handling hypermedia documents. Once queried, documents can be adapted by using an indexing scheme, which exploits multiple structures. We can process queries efficiently with minimal storage overhead. We suggest for that, the adaptation of multimedia document content with user needs and preferences. This approach is based on the OOHDM methodology extension with the use of the metadata.