WVTDB - A semantic content-based video database system on the World Wide Web

Haitao Jiang, Ahmed Elmagarmid

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

This paper describes the design and implementation of a web-based video database system (WVTDB) that demonstrates our research on video data modeling, semantic content-based video query, and video database system architecture. The video data model of WVTDB is based on multilevel video data abstractions and annotation layering, thus allowing dynamic and incremental video annotation and indexing, multiuser view sharing, and video data reuse. Users can query, retrieve, and browse video data based on their semantic content descriptions and temporal constraints on the video segments. WVTDB employs a modular system architecture that supports distributed video query processing and subquery caching. Several techniques, such as video wrappers and lazy delivery, are also proposed specifically to address the network bandwidth limitations for this kind of web-based system. We also address adaptivity, data access control, and user profile issues.

Original languageEnglish
Pages (from-to)947-966
Number of pages20
JournalIEEE Transactions on Knowledge and Data Engineering
Volume10
Issue number6
DOIs
Publication statusPublished - 1 Dec 1998
Externally publishedYes

Fingerprint

World Wide Web
Data structures
Semantics
Query processing
Access control
Bandwidth

Keywords

  • Access control
  • Query cache
  • Video browsing
  • Video database
  • Video indexing
  • Video query
  • Video representation
  • Video retrieval
  • World Wide Web

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Information Systems

Cite this

WVTDB - A semantic content-based video database system on the World Wide Web. / Jiang, Haitao; Elmagarmid, Ahmed.

In: IEEE Transactions on Knowledge and Data Engineering, Vol. 10, No. 6, 01.12.1998, p. 947-966.

Research output: Contribution to journalArticle

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