Semantic modeling and knowledge representation in multimedia databases

Wasfi Al-Khatib, Y. Francis Day, Arif Ghafoor, P. Bruce Berra

Research output: Contribution to journalArticlepeer-review

97 Scopus citations

Abstract

In this paper, we present the current state of the art in semantic data modeling of multimedia data. Semantic conceptualization can be performed at several levels of information granularity, leading to multilevel indexing and searching mechanisms. Various models at different levels of granularity are compared. At the finest level of granularity, multimedia data can be indexed based on image contents, such as identification of objects and faces. At a coarser level of granularity, indexing of multimedia data can be focused on events and episodes, which are higher level abstractions. In light of the above, we also examine modeling and indexing techniques of multimedia documents.

Original languageEnglish
Pages (from-to)64-80
Number of pages17
JournalIEEE Transactions on Knowledge and Data Engineering
Volume11
Issue number1
DOIs
StatePublished - Jan 1999
Externally publishedYes

Bibliographical note

Funding Information:
cal engineering from the University of Engineer-ing and Technology, Lahore, Pakistan, in 1976; and the MS, MPhil, and PhD degrees from Co-lumbia University in 1977, 1980, and 1984, re-spectively. In the Spring of 1991, he joined the faculty of the School of Electrical Engineering at Purdue University, where he is now an associate professor. Prior to joining Purdue University, he was on the faculty of Syracuse University from 1984 to 1991. His research interests include design and analysis of parallel and distributed systems, and multimedia information systems. He has published in excess of 100 technical papers in these areas. Currently, he is directing a research laboratory in distributed multimedia systems at Purdue University. His research in these areas has been funded by DARPA, NSF, NYNEX, AT&T, Intel, IBM, Fuji Electric Corporation, and GE. He has served on the program committees of various IEEE and ACM conferences.

Funding Information:
This work has been partially funded by a National Science Foundation grant, under Grant No. IRI-9619812.

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics

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