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.
Resumen Cómo citar Descargas

Resumen

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.

Cómo citar
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. Recuperado a partir de https://revistas.unab.edu.co/index.php/rcc/article/view/1094

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Publicado
2003-06-01
Número
Vol. 4 Núm. 1 (2003): Revista Colombiana de Computación (Enero-Junio)
Sección
Artículo de investigación científica y tecnológica

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