Scene change detection techniques for video database systems

Haitao Jiang, Abdelsalam Helal, Ahmed Elmagarmid, Anupam Joshi

Research output: Contribution to journalArticle

51 Citations (Scopus)

Abstract

Scene change detection (SCD) is one of several fundamental problems in the design of a video database management system (VDBMS). It is the first step towards the automatic segmentation, annotation, and indexing of video data. SCD is also used in other aspects of VDBMS, e.g., hierarchical representation and efficient browsing of the video data. In this paper, we provide a taxonomy that classifies existing SCD algorithms into three categories: full-video-image-based, compressed-video-based, and model-based algorithms. The capabilities and limitations of the SCD algorithms are discussed in detail. The paper also proposes a set of criteria for measuring and comparing the performance of various SCD algorithms. We conclude by discussing some important research directions.

Original languageEnglish
Pages (from-to)186-195
Number of pages10
JournalMultimedia Systems
Volume6
Issue number3
Publication statusPublished - 1 Dec 1998
Externally publishedYes

Fingerprint

Video Databases
Change Detection
Database Systems
Taxonomies
Hierarchical Systems
Browsing
Taxonomy
Indexing
Annotation
Segmentation
Classify
Model-based

Keywords

  • Scene change detection
  • Survey
  • Video databases
  • Video segmentation

ASJC Scopus subject areas

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

Cite this

Scene change detection techniques for video database systems. / Jiang, Haitao; Helal, Abdelsalam; Elmagarmid, Ahmed; Joshi, Anupam.

In: Multimedia Systems, Vol. 6, No. 3, 01.12.1998, p. 186-195.

Research output: Contribution to journalArticle

Jiang, H, Helal, A, Elmagarmid, A & Joshi, A 1998, 'Scene change detection techniques for video database systems', Multimedia Systems, vol. 6, no. 3, pp. 186-195.
Jiang, Haitao ; Helal, Abdelsalam ; Elmagarmid, Ahmed ; Joshi, Anupam. / Scene change detection techniques for video database systems. In: Multimedia Systems. 1998 ; Vol. 6, No. 3. pp. 186-195.
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