Scalable roi algorithm for H.264/SVC-based video streaming

Jung Hwan Lee, Hyuck Yoo

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

H.264/SVC has been widely adopted to smart CE devices for network-adaptive video transmission. However, current H.264/SVC does not support sufficiently high subjective QoS (Quality of Service) because its scalability methods provide only coarse-grained network adaptivity. To address this problem, we propose a Scalable ROI (SROI) algorithm that applies the ROI (Region of Interests) concept to SVC (Scalable Video Codec). While existing methods use a fixed size of enhancement layers, our method utilizes only ROI area as an enhancement layer so that it can improve subjective QoS with low transmission overhead. Through some experiments, we show that our method can increase PSNR (Peak Signal-to-Noise Ratio) by 4~5 dB in ROI areas.

Original languageEnglish
Article number5955236
Pages (from-to)882-887
Number of pages6
JournalIEEE Transactions on Consumer Electronics
Volume57
Issue number2
DOIs
Publication statusPublished - 2011 May 1

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Video streaming
Quality of service
Scalability
Signal to noise ratio
Experiments

Keywords

  • Adaptive Video Streaming
  • H.264/SVC
  • Quality of experience
  • Region of Interests
  • Scalable Video Codec

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Media Technology

Cite this

Scalable roi algorithm for H.264/SVC-based video streaming. / Lee, Jung Hwan; Yoo, Hyuck.

In: IEEE Transactions on Consumer Electronics, Vol. 57, No. 2, 5955236, 01.05.2011, p. 882-887.

Research output: Contribution to journalArticle

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