An effective video streaming method for video on demand services in vertical handoff

Jae W. Kim, Hye S. Kim, Jae Woong Yun, Sung-Jea Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Vertical handoff (VH) is required to achieve anywhere and anytime internet access in the fourth generation (4G) network providing interoperability between universal mobile telecommunications system (UMTS) and wireless LAN (WLAN). However, video data can be lost due to latency caused by VH. To solve this problem, in this paper, we propose an effective video streaming method for video on demand (VOD) services that provides seamless playout at the client in VH. Experimental results show that our method can provide seamless playout at the client in VH while preserving image quality.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages397-406
Number of pages10
Volume3894 LNCS
Publication statusPublished - 2006 Jul 10
Event19th International Conference on Architecture of Computing Systems, ARCS 2006 - Frankfurt, Main, Germany
Duration: 2006 Mar 132006 Mar 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3894 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other19th International Conference on Architecture of Computing Systems, ARCS 2006
CountryGermany
CityFrankfurt, Main
Period06/3/1306/3/16

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Kim, J. W., Kim, H. S., Yun, J. W., & Ko, S-J. (2006). An effective video streaming method for video on demand services in vertical handoff. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3894 LNCS, pp. 397-406). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3894 LNCS).