A multimedia database management system supporting contents search in media data / [by] Vincent Y. Lum [and] Klaus Meyer-Wegener.
Abstract
It is now feasible to store and manage in computers new types of data like text, images, graphics, and sound recordings. This paper claims that database management systems should be extended to organize these new types of data and to enable search based on their contents. Media objects are modelled as attributes of abstract data types. The contents is captured in terms of natural language descriptions and is translated by a parser into predicates for easy matching with query phrases. The implications of this approach are discussed: Data organization for multimedia including contents representation, the dictionary used by the parser to recognize words and assign predicates, rules to use semantic relationships in the query evaluation, and access paths to speed up the search for the descriptions. The result is an architecture for multimedia database management systems that combines the additional components needed with the conventional data management and identifies their ways of interaction. Three types of user interfaces are offered that require different levels of skill. The architecture is modular and allows the integration of more advanced AI techniques once they become available
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.NPS Report Number
NPS-52-89-020Related items
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Image database management in a multimedia system
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A Friendly and Intelligent Approach to Data Retrieval in a Multimedia DBMS
Keim, Daniel A.; Lum, Vincent Y.; Kim, Kyung-Chang (Monterey, California. Naval Postgraduate School, 1991-03); NPS-CS-91-010Manipulation of multimedia data is not straightforward as in conventional database. One main problem is the retrieval of multimedia data from the database with the need to match the contents of multimedia data to a user ... -
Towards Intelligent Data Retrieval in Mulitmedia Databases
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