Content-based video retrieval by example video clip

Nevenka Dimitrova, Mohamed Abdel-Mottaleb

Research output: Contribution to journalConference article

26 Citations (Scopus)

Abstract

This paper presents a novel approach for video retrieval from a large archive of MPEG or Motion JPEG' compressed video clips. We introduce a retrieval algorithm that takes a video clip as a query and searches the database for clips with similar contents. Video clips are characterized by a sequence of representative frame signatures, which are constructed from DC coefficients and motion information ("DC+M" signatures). The similarity between two video clips is determined by using their respective signatures. This method facilitates retrieval of clips for the purpose of video editing, broadcast news retrieval, or copyright violation detection.

Original languageEnglish (US)
Pages (from-to)59-70
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3022
DOIs
StatePublished - Jan 15 1997
EventStorage and Retrieval for Image and Video Databases V 1997 - San Jose, United States
Duration: Feb 8 1997Feb 14 1997

Fingerprint

Video Retrieval
clips
Content-based Retrieval
retrieval
Retrieval
Signature
Motion
signatures
Broadcast
direct current
Query
video compression
editing
news
Coefficient
monomethoxypolyethylene glycol
coefficients

Keywords

  • Compressed domain video processing
  • Content-based retrieval
  • Video representation
  • Video retrieval
  • Video signature extraction

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Content-based video retrieval by example video clip. / Dimitrova, Nevenka; Abdel-Mottaleb, Mohamed.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 3022, 15.01.1997, p. 59-70.

Research output: Contribution to journalConference article

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