Prediction of transmission distortion for wireless video communication: Algorithm and application

Zhifeng Chen; Dapeng Wu

doi:10.1016/j.jvcir.2010.09.004

Prediction of transmission distortion for wireless video communication: Algorithm and application

Zhifeng Chen
, Dapeng Wu

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

12 Citations (Scopus)

Abstract

In this paper, we develop algorithms for estimating transmission distortion in wireless video communication systems. By leveraging the analytical results obtained in our previous works, we design low complexity algorithms that are capable of estimating transmission distortion accurately. We also extend our algorithm for pixel-level transmission distortion estimation to pixel-level end-to-end distortion estimation. Furthermore, we apply our pixel-level end-to-end distortion estimation algorithm to prediction mode decision in H.264 encoder. Experimental results show that (1) our transmission distortion estimation algorithm is more accurate and more robust against inaccurate channel estimation than existing distortion estimation algorithms; (2) our mode decision algorithm achieves remarkable PSNR gain over the existing algorithms for prediction mode decision in H.264 encoder, e.g., an average PSNR gain of 1.44 dB for 'foreman' sequence when Packet Error Probability (PEP) equals 5%.© 2010 Elsevier Inc. All rights reserved.

Original language	English
Pages (from-to)	948-964
Journal	Journal of Visual Communication and Image Representation
Volume	21
Issue number	8
DOIs	https://doi.org/10.1016/j.jvcir.2010.09.004
Publication status	Published - Nov 2010
Externally published	Yes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

Clipping noise
Distortion estimation
Prediction mode decision
RMPC
Slice data partitioning
Transmission distortion
Unequal error protection (UEP)
Wireless video

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@article{e8a411049e9f4a17b9dadfe438a4f9c5,

title = "Prediction of transmission distortion for wireless video communication: Algorithm and application",

abstract = "In this paper, we develop algorithms for estimating transmission distortion in wireless video communication systems. By leveraging the analytical results obtained in our previous works, we design low complexity algorithms that are capable of estimating transmission distortion accurately. We also extend our algorithm for pixel-level transmission distortion estimation to pixel-level end-to-end distortion estimation. Furthermore, we apply our pixel-level end-to-end distortion estimation algorithm to prediction mode decision in H.264 encoder. Experimental results show that (1) our transmission distortion estimation algorithm is more accurate and more robust against inaccurate channel estimation than existing distortion estimation algorithms; (2) our mode decision algorithm achieves remarkable PSNR gain over the existing algorithms for prediction mode decision in H.264 encoder, e.g., an average PSNR gain of 1.44 dB for 'foreman' sequence when Packet Error Probability (PEP) equals 5\%.{\textcopyright} 2010 Elsevier Inc. All rights reserved.",

keywords = "Clipping noise, Distortion estimation, Prediction mode decision, RMPC, Slice data partitioning, Transmission distortion, Unequal error protection (UEP), Wireless video",

author = "Zhifeng Chen and Dapeng Wu",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].",

year = "2010",

month = nov,

doi = "10.1016/j.jvcir.2010.09.004",

language = "English",

volume = "21",

pages = "948--964",

journal = "Journal of Visual Communication and Image Representation",

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number = "8",

}

TY - JOUR

T1 - Prediction of transmission distortion for wireless video communication

T2 - Algorithm and application

AU - Chen, Zhifeng

AU - Wu, Dapeng

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2010/11

Y1 - 2010/11

N2 - In this paper, we develop algorithms for estimating transmission distortion in wireless video communication systems. By leveraging the analytical results obtained in our previous works, we design low complexity algorithms that are capable of estimating transmission distortion accurately. We also extend our algorithm for pixel-level transmission distortion estimation to pixel-level end-to-end distortion estimation. Furthermore, we apply our pixel-level end-to-end distortion estimation algorithm to prediction mode decision in H.264 encoder. Experimental results show that (1) our transmission distortion estimation algorithm is more accurate and more robust against inaccurate channel estimation than existing distortion estimation algorithms; (2) our mode decision algorithm achieves remarkable PSNR gain over the existing algorithms for prediction mode decision in H.264 encoder, e.g., an average PSNR gain of 1.44 dB for 'foreman' sequence when Packet Error Probability (PEP) equals 5%.© 2010 Elsevier Inc. All rights reserved.

AB - In this paper, we develop algorithms for estimating transmission distortion in wireless video communication systems. By leveraging the analytical results obtained in our previous works, we design low complexity algorithms that are capable of estimating transmission distortion accurately. We also extend our algorithm for pixel-level transmission distortion estimation to pixel-level end-to-end distortion estimation. Furthermore, we apply our pixel-level end-to-end distortion estimation algorithm to prediction mode decision in H.264 encoder. Experimental results show that (1) our transmission distortion estimation algorithm is more accurate and more robust against inaccurate channel estimation than existing distortion estimation algorithms; (2) our mode decision algorithm achieves remarkable PSNR gain over the existing algorithms for prediction mode decision in H.264 encoder, e.g., an average PSNR gain of 1.44 dB for 'foreman' sequence when Packet Error Probability (PEP) equals 5%.© 2010 Elsevier Inc. All rights reserved.

KW - Clipping noise

KW - Distortion estimation

KW - Prediction mode decision

KW - RMPC

KW - Slice data partitioning

KW - Transmission distortion

KW - Unequal error protection (UEP)

KW - Wireless video

UR - https://www.scopus.com/pages/publications/77958498190

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-77958498190&origin=recordpage

U2 - 10.1016/j.jvcir.2010.09.004

DO - 10.1016/j.jvcir.2010.09.004

M3 - RGC 21 - Publication in refereed journal

SN - 1047-3203

VL - 21

SP - 948

EP - 964

JO - Journal of Visual Communication and Image Representation

JF - Journal of Visual Communication and Image Representation

IS - 8

ER -

Prediction of transmission distortion for wireless video communication: Algorithm and application

Abstract

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Research Keywords

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