Semantic modeling and knowledge representation in multimedia databases

Author

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

Author_Institution

Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA

Volume

11

Issue

1

fYear

1999

Firstpage

64

Lastpage

80

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

Keywords

content-based retrieval; data models; database indexing; knowledge representation; multimedia databases; query processing; visual databases; abstractions; episodes; events; face identification; image content; information granularity; knowledge representation; multilevel indexing mechanisms; multilevel searching mechanisms; multimedia data; multimedia databases; multimedia documents; object identification; semantic conceptualization; semantic data modeling; Computer Society; Content based retrieval; Image databases; Image processing; Image retrieval; Indexing; Information retrieval; Knowledge representation; Multimedia databases; Query processing;

fLanguage

English

Journal_Title

Knowledge and Data Engineering, IEEE Transactions on

Publisher

ieee

ISSN

1041-4347

Type

jour

DOI

10.1109/69.755616

Filename

755616