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Video quality estimation in wireless IP networks: Algorithms and applications

Published: 11 February 2008 Publication History

Abstract

This article proposes three methods to estimate the distortion deriving from packet losses in wireless video communication. The proposed methods take into account the short-term properties of the encoded video sequences. A suitable set of functions is adopted to model the distortion envelope resulting from multiple losses. The estimated performance is compared with the actual distortion, evaluated by decoding the received sequence with a properly designed decoder. Numerical results confirm the accuracy of the proposed models in approximating the actual Mean Square Error (MSE) for a wide range of loss rates. Some applications of the proposed algorithms are presented.

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Cited By

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  • (2016)A low complexity model for predicting slice loss distortion for prioritizing H.264/AVC videoMultimedia Tools and Applications10.1007/s11042-014-2334-275:2(961-985)Online publication date: 1-Jan-2016
  • (2012)Optimizing Selective ARQ for H.264 Live StreamingIEEE Transactions on Multimedia10.1109/TMM.2011.217823514:2(415-430)Online publication date: 1-Apr-2012
  • (2010)Video Distortion Estimation and Content-Aware QoS Strategies for Video Streaming over Wireless NetworksQuality of Service Architectures for Wireless Networks10.4018/978-1-61520-680-3.ch017(377-406)Online publication date: 2010
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Published In

cover image ACM Transactions on Multimedia Computing, Communications, and Applications
ACM Transactions on Multimedia Computing, Communications, and Applications  Volume 4, Issue 1
January 2008
197 pages
ISSN:1551-6857
EISSN:1551-6865
DOI:10.1145/1324287
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 February 2008
Accepted: 01 January 2007
Revised: 01 September 2006
Received: 01 May 2006
Published in TOMM Volume 4, Issue 1

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Author Tags

  1. Distortion estimation
  2. H.264
  3. error-concealment
  4. error-resilience
  5. packet loss rate
  6. real time video
  7. wireless networks

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Cited By

View all
  • (2016)A low complexity model for predicting slice loss distortion for prioritizing H.264/AVC videoMultimedia Tools and Applications10.1007/s11042-014-2334-275:2(961-985)Online publication date: 1-Jan-2016
  • (2012)Optimizing Selective ARQ for H.264 Live StreamingIEEE Transactions on Multimedia10.1109/TMM.2011.217823514:2(415-430)Online publication date: 1-Apr-2012
  • (2010)Video Distortion Estimation and Content-Aware QoS Strategies for Video Streaming over Wireless NetworksQuality of Service Architectures for Wireless Networks10.4018/978-1-61520-680-3.ch017(377-406)Online publication date: 2010
  • (2009)Revisiting a QoE Assessment Architecture Six Years Later: Lessons Learned and Remaining ChallengesQuality of Service in Heterogeneous Networks10.1007/978-3-642-10625-5_46(730-738)Online publication date: 2009
  • (2008)Applications of Video Distortion Estimation Algorithms for Efficient Video StreamingIEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference10.1109/GLOCOM.2008.ECP.1037(1-5)Online publication date: Nov-2008

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