In this work, a high efficiency coding unit (CU) size decision algorithm is proposed for high efficiency video coding (HEVC) inter coding. The CU splitting or non-splitting is modeled as a binary classification problem based on probability graphical model (PGM). This method incorporates two sub-methods: CU size termination decision and CU size skip decision. This method focuses on the trade-off between encoding efficiency and encoding complexity, and it has a good performance. Particularly in the high resolution application, simulation results demonstrate that the proposed algorithm can reduce encoding time by 53.62%-57.54%, while the increased BD-rate are only 1.27%-1.65%, compared to the HEVC software model.
Xiantao JIANG
Tongji University
Tian SONG
The University of Tokushima
Wen SHI
The University of Tokushima
Takafumi KATAYAMA
The University of Tokushima
Takashi SHIMAMOTO
The University of Tokushima
Lisheng WANG
Tongji University
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Xiantao JIANG, Tian SONG, Wen SHI, Takafumi KATAYAMA, Takashi SHIMAMOTO, Lisheng WANG, "Fast Coding Unit Size Decision Based on Probabilistic Graphical Model in High Efficiency Video Coding Inter Prediction" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 11, pp. 2836-2839, November 2016, doi: 10.1587/transinf.2015EDL8237.
Abstract: In this work, a high efficiency coding unit (CU) size decision algorithm is proposed for high efficiency video coding (HEVC) inter coding. The CU splitting or non-splitting is modeled as a binary classification problem based on probability graphical model (PGM). This method incorporates two sub-methods: CU size termination decision and CU size skip decision. This method focuses on the trade-off between encoding efficiency and encoding complexity, and it has a good performance. Particularly in the high resolution application, simulation results demonstrate that the proposed algorithm can reduce encoding time by 53.62%-57.54%, while the increased BD-rate are only 1.27%-1.65%, compared to the HEVC software model.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2015EDL8237/_p
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@ARTICLE{e99-d_11_2836,
author={Xiantao JIANG, Tian SONG, Wen SHI, Takafumi KATAYAMA, Takashi SHIMAMOTO, Lisheng WANG, },
journal={IEICE TRANSACTIONS on Information},
title={Fast Coding Unit Size Decision Based on Probabilistic Graphical Model in High Efficiency Video Coding Inter Prediction},
year={2016},
volume={E99-D},
number={11},
pages={2836-2839},
abstract={In this work, a high efficiency coding unit (CU) size decision algorithm is proposed for high efficiency video coding (HEVC) inter coding. The CU splitting or non-splitting is modeled as a binary classification problem based on probability graphical model (PGM). This method incorporates two sub-methods: CU size termination decision and CU size skip decision. This method focuses on the trade-off between encoding efficiency and encoding complexity, and it has a good performance. Particularly in the high resolution application, simulation results demonstrate that the proposed algorithm can reduce encoding time by 53.62%-57.54%, while the increased BD-rate are only 1.27%-1.65%, compared to the HEVC software model.},
keywords={},
doi={10.1587/transinf.2015EDL8237},
ISSN={1745-1361},
month={November},}
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TY - JOUR
TI - Fast Coding Unit Size Decision Based on Probabilistic Graphical Model in High Efficiency Video Coding Inter Prediction
T2 - IEICE TRANSACTIONS on Information
SP - 2836
EP - 2839
AU - Xiantao JIANG
AU - Tian SONG
AU - Wen SHI
AU - Takafumi KATAYAMA
AU - Takashi SHIMAMOTO
AU - Lisheng WANG
PY - 2016
DO - 10.1587/transinf.2015EDL8237
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2016
AB - In this work, a high efficiency coding unit (CU) size decision algorithm is proposed for high efficiency video coding (HEVC) inter coding. The CU splitting or non-splitting is modeled as a binary classification problem based on probability graphical model (PGM). This method incorporates two sub-methods: CU size termination decision and CU size skip decision. This method focuses on the trade-off between encoding efficiency and encoding complexity, and it has a good performance. Particularly in the high resolution application, simulation results demonstrate that the proposed algorithm can reduce encoding time by 53.62%-57.54%, while the increased BD-rate are only 1.27%-1.65%, compared to the HEVC software model.
ER -