The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
La transmission de vidéo compressée sur des canaux sujets aux erreurs peut entraîner des pertes de paquets ou des erreurs, ce qui peut dégrader considérablement la qualité de l'image. Par conséquent, un système de masquage d'erreurs est appliqué du côté du récepteur vidéo pour masquer la vidéo endommagée. Considérant qu'il existe 3 types de MB (Macro Blocks) dans une image vidéo naturelle, c'est-à-dire Textural MB, Edged MB et Smooth MB, cet article propose une dissimulation adaptative des erreurs spatiales qui peut choisir 3 méthodes différentes pour ces 3 MB différents. Pour les critères de choix de la méthode appropriée, 2 facteurs sont pris en compte. Premièrement, l'écart type de notre modèle statistique de bord proposé est exploité. Deuxièmement, certaines nouvelles fonctionnalités de la dernière norme de compression vidéo H.264/AVC, à savoir le mode de prédiction intra, sont également prises en compte pour la formulation des critères. Par rapport aux travaux précédents, basés uniquement sur des mesures déterministes, la méthode proposée permet d'obtenir la meilleure récupération d'image. Les évaluations subjectives et objectives de la qualité des images lors d’expériences l’ont confirmé.
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Jun WANG, Lei WANG, Takeshi IKENAGA, Satoshi GOTO, "Standard Deviation and Intra Prediction Mode Based Adaptive Spatial Error Concealment (SEC) in H.264/AVC" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 10, pp. 2954-2962, October 2008, doi: 10.1093/ietfec/e91-a.10.2954.
Abstract: Transmission of compressed video over error prone channels may result in packet losses or errors, which can significantly degrade the image quality. Therefore an error concealment scheme is applied at the video receiver side to mask the damaged video. Considering there are 3 types of MBs (Macro Blocks) in natural video frame, i.e., Textural MB, Edged MB, and Smooth MB, this paper proposes an adaptive spatial error concealment which can choose 3 different methods for these 3 different MBs. For criteria of choosing appropriate method, 2 factors are taken into consideration. Firstly, standard deviation of our proposed edge statistical model is exploited. Secondly, some new features of latest video compression standard H.264/AVC, i.e., intra prediction mode is also considered for criterion formulation. Compared with previous works, which are only based on deterministic measurement, proposed method achieves the best image recovery. Subjective and objective image quality evaluations in experiments confirmed this.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.10.2954/_p
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@ARTICLE{e91-a_10_2954,
author={Jun WANG, Lei WANG, Takeshi IKENAGA, Satoshi GOTO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Standard Deviation and Intra Prediction Mode Based Adaptive Spatial Error Concealment (SEC) in H.264/AVC},
year={2008},
volume={E91-A},
number={10},
pages={2954-2962},
abstract={Transmission of compressed video over error prone channels may result in packet losses or errors, which can significantly degrade the image quality. Therefore an error concealment scheme is applied at the video receiver side to mask the damaged video. Considering there are 3 types of MBs (Macro Blocks) in natural video frame, i.e., Textural MB, Edged MB, and Smooth MB, this paper proposes an adaptive spatial error concealment which can choose 3 different methods for these 3 different MBs. For criteria of choosing appropriate method, 2 factors are taken into consideration. Firstly, standard deviation of our proposed edge statistical model is exploited. Secondly, some new features of latest video compression standard H.264/AVC, i.e., intra prediction mode is also considered for criterion formulation. Compared with previous works, which are only based on deterministic measurement, proposed method achieves the best image recovery. Subjective and objective image quality evaluations in experiments confirmed this.},
keywords={},
doi={10.1093/ietfec/e91-a.10.2954},
ISSN={1745-1337},
month={October},}
Copier
TY - JOUR
TI - Standard Deviation and Intra Prediction Mode Based Adaptive Spatial Error Concealment (SEC) in H.264/AVC
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2954
EP - 2962
AU - Jun WANG
AU - Lei WANG
AU - Takeshi IKENAGA
AU - Satoshi GOTO
PY - 2008
DO - 10.1093/ietfec/e91-a.10.2954
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2008
AB - Transmission of compressed video over error prone channels may result in packet losses or errors, which can significantly degrade the image quality. Therefore an error concealment scheme is applied at the video receiver side to mask the damaged video. Considering there are 3 types of MBs (Macro Blocks) in natural video frame, i.e., Textural MB, Edged MB, and Smooth MB, this paper proposes an adaptive spatial error concealment which can choose 3 different methods for these 3 different MBs. For criteria of choosing appropriate method, 2 factors are taken into consideration. Firstly, standard deviation of our proposed edge statistical model is exploited. Secondly, some new features of latest video compression standard H.264/AVC, i.e., intra prediction mode is also considered for criterion formulation. Compared with previous works, which are only based on deterministic measurement, proposed method achieves the best image recovery. Subjective and objective image quality evaluations in experiments confirmed this.
ER -