Real-time and automatic close-up retrieval from compressed videos

Ying Weng, Jianmin Jiang

Research output: Journal PublicationArticlepeer-review

2 Citations (Scopus)


This paper proposes a thorough scheme, by virtue of camera zooming descriptor with two-level threshold, to automatically retrieve close-ups directly from moving picture experts group (MPEG) compressed videos based on camera motion analysis. A new algorithm for fast camera motion estimation in compressed domain is presented. In the retrieval process, camera-motion-based semantic retrieval is built. To improve the coverage of the proposed scheme, close-up retrieval in all kinds of videos is investigated. Extensive experiments illustrate that the proposed scheme provides promising retrieval results under real-time and automatic application scenario.

Original languageEnglish
Pages (from-to)198-201
Number of pages4
JournalInternational Journal of Automation and Computing
Issue number2
Publication statusPublished - Apr 2008
Externally publishedYes


  • Camera motion analysis
  • Close-up retrieval
  • Moving picture experts group (MPEG) compressed videos

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Computer Science Applications
  • Applied Mathematics


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