Object-oriented model for the semantic interpretation of multimedia data

James Griffioen, Raj Yavatkar, Robert Adams

Research output: Contribution to conferencePaperpeer-review

Abstract

A data model called MOODS (Modeling Object-Oriented Data Semantics) has been developed that uses currently available processing techniques to analyze and categorize multimedia data based on semantic content. MOODS combines database operations with a powerful processing engine to allow multimedia to be automatically, and semi-automatically processed for extracting and storing semantic content. After the data has been annotated, MOODS allows content-based retrievals to be made, possibly invoking other processing routines to further analyze the data in the database.

Original languageEnglish
Pages371-372
Number of pages2
DOIs
StatePublished - 1995
EventProceedings of the 1995 3rd International Multimedia Conference and Exhibition, MULTIMEDIA'95 - San Francisco, CA, USA
Duration: Nov 5 1995Nov 9 1995

Conference

ConferenceProceedings of the 1995 3rd International Multimedia Conference and Exhibition, MULTIMEDIA'95
CitySan Francisco, CA, USA
Period11/5/9511/9/95

ASJC Scopus subject areas

  • Computer Science (all)

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