Distortion chains for predicting the video distortion for general packet loss patterns

Jacob Chakareski; John Apostolopoulos; Wai Tian Tan; Susie Wee; Bernd Girod

Distortion chains for predicting the video distortion for general packet loss patterns

Jacob Chakareski, John Apostolopoulos, Wai Tian Tan, Susie Wee, Bernd Girod

Research output: Contribution to journal › Conference article › peer-review

Abstract

When designing a system for video communication over a lossy packet network, it is highly beneficial to have a mechanism for accurately predicting the mean-squared error (MSE) distortion that results from different packet loss patterns. This paper proposes Distortion Chains model for accurately predicting the end-to-end distortion for different general packet loss patterns. The performance is examined using JVT/H.264 encoded video sequences and previous frame error concealment. It is shown that for all tested sequences the proposed model predicts the total distortion due to a packet loss pattern within a 10 % error bound 80 % of the time, as compared to the conventional additive approach which achieves the same accuracy less then 40 % of the time.

Original language	English (US)
Pages (from-to)	V-1001-V-1004
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	5
State	Published - 2004
Externally published	Yes
Event	Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada Duration: May 17 2004 → May 21 2004

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "Distortion chains for predicting the video distortion for general packet loss patterns",

abstract = "When designing a system for video communication over a lossy packet network, it is highly beneficial to have a mechanism for accurately predicting the mean-squared error (MSE) distortion that results from different packet loss patterns. This paper proposes Distortion Chains model for accurately predicting the end-to-end distortion for different general packet loss patterns. The performance is examined using JVT/H.264 encoded video sequences and previous frame error concealment. It is shown that for all tested sequences the proposed model predicts the total distortion due to a packet loss pattern within a 10 % error bound 80 % of the time, as compared to the conventional additive approach which achieves the same accuracy less then 40 % of the time.",

author = "Jacob Chakareski and John Apostolopoulos and Tan, {Wai Tian} and Susie Wee and Bernd Girod",

year = "2004",

language = "English (US)",

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journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "1520-6149",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing ; Conference date: 17-05-2004 Through 21-05-2004",

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TY - JOUR

T1 - Distortion chains for predicting the video distortion for general packet loss patterns

AU - Chakareski, Jacob

AU - Apostolopoulos, John

AU - Tan, Wai Tian

AU - Wee, Susie

AU - Girod, Bernd

PY - 2004

Y1 - 2004

N2 - When designing a system for video communication over a lossy packet network, it is highly beneficial to have a mechanism for accurately predicting the mean-squared error (MSE) distortion that results from different packet loss patterns. This paper proposes Distortion Chains model for accurately predicting the end-to-end distortion for different general packet loss patterns. The performance is examined using JVT/H.264 encoded video sequences and previous frame error concealment. It is shown that for all tested sequences the proposed model predicts the total distortion due to a packet loss pattern within a 10 % error bound 80 % of the time, as compared to the conventional additive approach which achieves the same accuracy less then 40 % of the time.

AB - When designing a system for video communication over a lossy packet network, it is highly beneficial to have a mechanism for accurately predicting the mean-squared error (MSE) distortion that results from different packet loss patterns. This paper proposes Distortion Chains model for accurately predicting the end-to-end distortion for different general packet loss patterns. The performance is examined using JVT/H.264 encoded video sequences and previous frame error concealment. It is shown that for all tested sequences the proposed model predicts the total distortion due to a packet loss pattern within a 10 % error bound 80 % of the time, as compared to the conventional additive approach which achieves the same accuracy less then 40 % of the time.

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M3 - Conference article

AN - SCOPUS:4544297208

SN - 1520-6149

VL - 5

SP - V-1001-V-1004

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 17 May 2004 through 21 May 2004

ER -

Distortion chains for predicting the video distortion for general packet loss patterns

Abstract

All Science Journal Classification (ASJC) codes

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