Towards intelligent data retrieval in mulitmedia [i.e. multimedia] databases
By: Kyung-Chang Kim, Vincent Y. Lum
Contributors: Lum, Vincent Y.; Naval Postgraduate School (U.S.). Dept. of Computer Science
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1991
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 21
Subjects: Media; Data bases; Information retrieval
Other titles: Towards intelligent data retrieval in multimedia databases.; NPS-CS-91-009.
Description: Manipulation of multimedia data in multimedia databases is not straightforward as in      conventional databases because of the complex structure of the multimedia data such as      image, or sound. The issue in the retrieval of multimedia data from the database is the      matching of the contents of multimedia data to a user query. The common solution is to      use either keywords or natural language descriptions to describe both the contents of      multimedia data and user queries. The major problem is that different users, or the same      user at different times, describe the same thing differently which results in the descriptions      of the contents of multimedia data to rarely exactly match the descriptions of the user      queries. Hence, partial or approximate match between descriptions of multimedia data and      user queries is often required during multimedia data retrieval. In this paper, we propose      an intelligent approach to approximate match by integrating both object-oriented and      natural language understanding techniques.
Notes: Title from cover.

"NPS-CS-91-009."

"February 1991."

AD A243 323.

Includes bibliographical references (p. 20-21).

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