A middleware to enhance current multimedia retrieval systems with content-based functionalities

Abstract

Nowadays the retrieval of multimedia assets is mainly performed by text-based retrieval systems with powerful and stable indexing mechanisms. Migration from those systems to content-aware multimedia retrieval systems is a common aim for companies from very diverse sectors. In this paper we present a semantic middleware designed to achieve a seamless integration with existing systems. This middleware outsources the semantic functionalities (e.g. knowledge extraction, semantic query expansion,…) that are not covered by traditional systems, thereby allowing the use of complementary content-based techniques. We include a list of key criteria to successfully deploy this middleware, which provides semantic support to many different steps of the retrieval process. Both the middleware and the design criteria are validated by two real complementary deployments in two very different industrial domains.

Study and Comparison of Metadata Schemas for the Description of Multimedia Resources

“…In this way, P-META is independent of technology [4,14]. It can be implemented just as defined in the specification or can be extended to meet specific needs.…”

“…P-META is a list of metadata focused on the exchange of commercial audiovisual products between broadcasters [14]. It also consists of a set of data types, syntax rules and a library of controlled terms [5] that should be taken into account when generating the metadata that will identify editorially or will describe technically a specific resource and rights associated [4,14].…”