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

Jung Hwan Oh; Jeong Kyu Lee; Sae Hwang

Revista Colombiana de Computación (Jun 2003)

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

Jung Hwan Oh,
Jeong Kyu Lee,
Sae Hwang

Affiliations

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.

Journal volume & issue: Vol. 4, no. 1

Abstract

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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.

Published in Revista Colombiana de Computación

ISSN: 1657-2831 (Print); 2539-2115 (Online)
Publisher: Universidad Autónoma de Bucaramanga
Country of publisher: Colombia
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware; Science: Mathematics: Instruments and machines: Electronic computers. Computer science
Website: https://revistas.unab.edu.co/index.php/rcc/index

About the journal