Towards Intelligent Data Retrieval in Mulitmedia Databases
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Authors
Lum, Vincent Y.
Kim, Kyung-Chang
Subjects
Multimedia Database Systems, Information Retrieval, Natural Language Interfaces
Advisors
Date of Issue
1991-02
Date
1991-02
Publisher
Monterey, California. Naval Postgraduate School
Language
eng
Abstract
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
Type
Technical Report
Description
Series/Report No
Department
Computer Science
Identifiers
NPS Report Number
NPS-CS-91-009
Sponsors
Naval Ocean Systems Center, San Diego, CA
Funder
OM&N Direct Funding
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.