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Estimation of accurate effective loss rate for FEC video transmission.

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Title: Estimation of accurate effective loss rate for FEC video transmission.
Authors: Lee, Hong-rae1, Jeong, Yo-Won2, Kim, Jin-soo3, Wu, Dapeng4, Seo, Kwang-deok1 kdseo@yonsei.ac.kr
Source: Signal Processing: Image Communication. Jul2014, Vol. 29 Issue 6, p678-698. 21p.
Subjects: Estimation theory, Bit rate, Data transmission systems, Forward error correction, Data analysis, Failure analysis
Abstract: Abstract: We propose an algorithm for adjusting data transmission parameters, such as the packet size and the code rate of forward error correction (FEC), to obtain maximum video quality under dynamic channel conditions. When determining transmission parameters, it is essential to calculate an accurate effective loss rate that reflects FEC recovery failures and over-deadline packets. To this end, we analyze the delays caused by FEC coding and the potential packet size variations. In our analysis, we consider the effect of delayed transmission of video packets incurred by the parity packets as well as the encoder and decoder buffers. With the analysis reflecting the delay effect, we are able to accurately estimate the delay patterns of all video packets. Based on the analysis results, we establish an accurate model for estimating the effective loss rate. Simulations show that the proposed effective loss rate model accurately estimates the effective loss rate and significantly improves the reconstructed video quality at the receiver. [Copyright &y& Elsevier]
Copyright of Signal Processing: Image Communication is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 96232220
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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  Data: Estimation of accurate effective loss rate for FEC video transmission.
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  Data: <searchLink fieldCode="AR" term="%22Lee%2C+Hong-rae%22">Lee, Hong-rae</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Jeong%2C+Yo-Won%22">Jeong, Yo-Won</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Kim%2C+Jin-soo%22">Kim, Jin-soo</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Wu%2C+Dapeng%22">Wu, Dapeng</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Seo%2C+Kwang-deok%22">Seo, Kwang-deok</searchLink><relatesTo>1</relatesTo><i> kdseo@yonsei.ac.kr</i>
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  Data: <searchLink fieldCode="JN" term="%22Signal+Processing%3A+Image+Communication%22">Signal Processing: Image Communication</searchLink>. Jul2014, Vol. 29 Issue 6, p678-698. 21p.
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  Data: <searchLink fieldCode="DE" term="%22Estimation+theory%22">Estimation theory</searchLink><br /><searchLink fieldCode="DE" term="%22Bit+rate%22">Bit rate</searchLink><br /><searchLink fieldCode="DE" term="%22Data+transmission+systems%22">Data transmission systems</searchLink><br /><searchLink fieldCode="DE" term="%22Forward+error+correction%22">Forward error correction</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Failure+analysis%22">Failure analysis</searchLink>
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  Data: Abstract: We propose an algorithm for adjusting data transmission parameters, such as the packet size and the code rate of forward error correction (FEC), to obtain maximum video quality under dynamic channel conditions. When determining transmission parameters, it is essential to calculate an accurate effective loss rate that reflects FEC recovery failures and over-deadline packets. To this end, we analyze the delays caused by FEC coding and the potential packet size variations. In our analysis, we consider the effect of delayed transmission of video packets incurred by the parity packets as well as the encoder and decoder buffers. With the analysis reflecting the delay effect, we are able to accurately estimate the delay patterns of all video packets. Based on the analysis results, we establish an accurate model for estimating the effective loss rate. Simulations show that the proposed effective loss rate model accurately estimates the effective loss rate and significantly improves the reconstructed video quality at the receiver. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Signal Processing: Image Communication is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.image.2014.03.006
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 21
        StartPage: 678
    Subjects:
      – SubjectFull: Estimation theory
        Type: general
      – SubjectFull: Bit rate
        Type: general
      – SubjectFull: Data transmission systems
        Type: general
      – SubjectFull: Forward error correction
        Type: general
      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: Failure analysis
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      – TitleFull: Estimation of accurate effective loss rate for FEC video transmission.
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            NameFull: Lee, Hong-rae
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            NameFull: Jeong, Yo-Won
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            NameFull: Kim, Jin-soo
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            NameFull: Wu, Dapeng
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            NameFull: Seo, Kwang-deok
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            – D: 01
              M: 07
              Text: Jul2014
              Type: published
              Y: 2014
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              Value: 29
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              Value: 6
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            – TitleFull: Signal Processing: Image Communication
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