Optimized motion energy estimation for group of pictures in multi-level error protection of H.264/AVC video bitstreams

Huu-Dung Pham; Sina Vafi

doi:10.1109/TMM.2014.2348712

Optimized motion energy estimation for group of pictures in multi-level error protection of H.264/AVC video bitstreams

Huu-Dung Pham, Sina Vafi

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Abstract

A multi-level error protection technique for H.264/AVC video bitstreams structured by Group of Pictures (GOP) is proposed. Protection levels are determined by motion energy, which considers displacements of all macroblocks between consecutive frames. Lagrange polynomial is applied in predicting motion energy of a GOP, which is derived from previous GOPs having a high correlation with each other. The optimum number of previous GOPs is selected in order to obtain a good motion energy estimation of the current one. Conducted analyses and simulation results show that video performance obtained by the proposed technique outperforms other motion activity-based Unequal Error Protection (UEP) techniques, while a similar channel code rate is applied.

Original language	English
Pages (from-to)	2118-2129
Number of pages	12
Journal	IEEE Transactions on Multimedia
Volume	16
Issue number	8
DOIs	https://doi.org/10.1109/TMM.2014.2348712
Publication status	Published - Dec 2014

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title = "Optimized motion energy estimation for group of pictures in multi-level error protection of H.264/AVC video bitstreams",

abstract = "A multi-level error protection technique for H.264/AVC video bitstreams structured by Group of Pictures (GOP) is proposed. Protection levels are determined by motion energy, which considers displacements of all macroblocks between consecutive frames. Lagrange polynomial is applied in predicting motion energy of a GOP, which is derived from previous GOPs having a high correlation with each other. The optimum number of previous GOPs is selected in order to obtain a good motion energy estimation of the current one. Conducted analyses and simulation results show that video performance obtained by the proposed technique outperforms other motion activity-based Unequal Error Protection (UEP) techniques, while a similar channel code rate is applied. ",

keywords = "Binary sequences, Codes (symbols), Image coding, Lagrange multipliers, Motion Picture Experts Group standards, Error protection, Group of pictures, H.264/AVC video, Lagrange polynomials, Motion activity, Motion energy, Protection level, Unequal error protections, Motion estimation",

author = "Huu-Dung Pham and Sina Vafi",

year = "2014",

month = dec,

doi = "10.1109/TMM.2014.2348712",

language = "English",

volume = "16",

pages = "2118--2129",

journal = "IEEE Transactions on Multimedia",

issn = "1520-9210",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

number = "8",

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TY - JOUR

T1 - Optimized motion energy estimation for group of pictures in multi-level error protection of H.264/AVC video bitstreams

AU - Pham, Huu-Dung

AU - Vafi, Sina

PY - 2014/12

Y1 - 2014/12

N2 - A multi-level error protection technique for H.264/AVC video bitstreams structured by Group of Pictures (GOP) is proposed. Protection levels are determined by motion energy, which considers displacements of all macroblocks between consecutive frames. Lagrange polynomial is applied in predicting motion energy of a GOP, which is derived from previous GOPs having a high correlation with each other. The optimum number of previous GOPs is selected in order to obtain a good motion energy estimation of the current one. Conducted analyses and simulation results show that video performance obtained by the proposed technique outperforms other motion activity-based Unequal Error Protection (UEP) techniques, while a similar channel code rate is applied.

AB - A multi-level error protection technique for H.264/AVC video bitstreams structured by Group of Pictures (GOP) is proposed. Protection levels are determined by motion energy, which considers displacements of all macroblocks between consecutive frames. Lagrange polynomial is applied in predicting motion energy of a GOP, which is derived from previous GOPs having a high correlation with each other. The optimum number of previous GOPs is selected in order to obtain a good motion energy estimation of the current one. Conducted analyses and simulation results show that video performance obtained by the proposed technique outperforms other motion activity-based Unequal Error Protection (UEP) techniques, while a similar channel code rate is applied.

KW - Binary sequences

KW - Codes (symbols)

KW - Image coding

KW - Lagrange multipliers

KW - Motion Picture Experts Group standards

KW - Error protection

KW - Group of pictures

KW - H.264/AVC video

KW - Lagrange polynomials

KW - Motion activity

KW - Motion energy

KW - Protection level

KW - Unequal error protections

KW - Motion estimation

U2 - 10.1109/TMM.2014.2348712

DO - 10.1109/TMM.2014.2348712

M3 - Article

SN - 1520-9210

VL - 16

SP - 2118

EP - 2129

JO - IEEE Transactions on Multimedia

JF - IEEE Transactions on Multimedia

IS - 8

ER -

Optimized motion energy estimation for group of pictures in multi-level error protection of H.264/AVC video bitstreams

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