.png){kind=icon}
.png){kind=icon}
Return
A middleware to enhance current multimedia retrieval systems with content-based functionalities
.png){kind=icon}
PRE
AI
DOI：10.1007/s00530-010-0217-6.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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,aEuro broken vertical bar) 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.
Keywords:
Multimedia information retrieval
Content-based
Semantic middleware