An efficient method for detection of key objects in video shots with camera motions

  • Jung Hwan Oh Departament of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019-0015 U.S.A.
  • Jeong Kyu Lee Departament of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019-0015 U.S.A.
  • Sae Hwang Departament of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019-0015 U.S.A.
Abstract How to Cite Downloads

Abstract

The most fundamental task in video processing is to partition long video sequences into a number of shots and find a key frame of each shot for indexing and browsing.

keywords: Video object segmentacion, shot boundary detection, color quantization, MPEG-4/MPEG-7.

How to Cite
Hwan Oh, J., Kyu Lee, J., & Hwang, S. (2003). An efficient method for detection of key objects in video shots with camera motions. Revista Colombiana De Computación, 4(1), 35–56. Retrieved from https://revistas.unab.edu.co/rcc/article/view/1094

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Published
2003-06-01
Issue
Vol. 4 No. 1 (2003): Revista Colombiana de Computación (Enero-Junio)
Section
Article of scientific and technological research
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