However, multimedia information retrieval is less established. There are a number of open issues involved in such retrieval.It involves retrieval of full motion video, but it is sometimes refer to in the context of the retrieval of spoken documents without reference to associated video content or the retrieval of static images. In relation to video and image retrieval, multimedia retrieval process itself often involves only the analysis of linguistic material associated with the visual content, in the case of video the spoken soundtrack and the use of textual labels for images.Since it is not reasonable to expect that a user will know the physical locations and/or DB identities and logon procedures, of all of the data sources that might be relevant for his/her information request, some form of front-end system, consisting of an interface, search engine, and integrated database system, needs to be developed to provide access to the potentially multiple, relevant DBSs. Since it is also unreasonable to require that the user access relevant data one system at a time using potentially varying local system query languages, there is a need to develop a common user query language and let the underlying query processor do the necessary query translations. Thus, a desirable MMIRS (and MDBS) would offer a single interface and query language to the data in any number of multimedia database systems and then integrate and rank the results from the user search query.In traditional distributed database literature for structured DBs, it is common to distinguish between types of distributed system architectures based on the degree to which the component schemas are/can be integrated (Elmagarmid,A., 1999; Nordbotten, J.,. Implications of method, users and collections.
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