IEICE TRANSACTIONS on Information
Fast Intra Prediction and CU Partition Algorithm for Virtual Reality 360 Degree Video Coding
Summary :
Virtual Reality (VR) 360 degree video has ultra-high definition. Reducing the coding complexity becomes a key consideration in coding algorithm design. In this paper, a novel candidate mode pruning process is introduced between Rough Mode Decision and Most Probable Mode based on the statistical analysis of the intra-coding parameters used in VR 360 degree video coding under Cubemap projection (CMP) format. In addition, updated coding bits thresholds for VR 360 degree video are designed in the proposed algorithm. The experimental results show that the proposed algorithm brings 38.73% and 23.70% saving in average coding time at the cost of only 1.4% and 2.1% Bjontegaard delta rate increase in All-Intra mode and Randomaccess mode, respectively.
- Publication
- IEICE TRANSACTIONS on Information Vol.E102-D No.3 pp.666-669
- Publication Date
- 2019/03/01
- Publicized
- 2018/12/18
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2018EDL8098
- Type of Manuscript
- LETTER
- Category
- Image Processing and Video Processing
Authors
Zhi LIU
North China University of Technology
Cai XU
North China University of Technology
Mengmeng ZHANG
North China University of Technology
Wen YUE
China University of Geosciences
Keyword
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Zhi LIU, Cai XU, Mengmeng ZHANG, Wen YUE, "Fast Intra Prediction and CU Partition Algorithm for Virtual Reality 360 Degree Video Coding" in IEICE TRANSACTIONS on Information,
vol. E102-D, no. 3, pp. 666-669, March 2019, doi: 10.1587/transinf.2018EDL8098.
Abstract: Virtual Reality (VR) 360 degree video has ultra-high definition. Reducing the coding complexity becomes a key consideration in coding algorithm design. In this paper, a novel candidate mode pruning process is introduced between Rough Mode Decision and Most Probable Mode based on the statistical analysis of the intra-coding parameters used in VR 360 degree video coding under Cubemap projection (CMP) format. In addition, updated coding bits thresholds for VR 360 degree video are designed in the proposed algorithm. The experimental results show that the proposed algorithm brings 38.73% and 23.70% saving in average coding time at the cost of only 1.4% and 2.1% Bjontegaard delta rate increase in All-Intra mode and Randomaccess mode, respectively.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2018EDL8098/_p
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@ARTICLE{e102-d_3_666,
author={Zhi LIU, Cai XU, Mengmeng ZHANG, Wen YUE, },
journal={IEICE TRANSACTIONS on Information},
title={Fast Intra Prediction and CU Partition Algorithm for Virtual Reality 360 Degree Video Coding},
year={2019},
volume={E102-D},
number={3},
pages={666-669},
abstract={Virtual Reality (VR) 360 degree video has ultra-high definition. Reducing the coding complexity becomes a key consideration in coding algorithm design. In this paper, a novel candidate mode pruning process is introduced between Rough Mode Decision and Most Probable Mode based on the statistical analysis of the intra-coding parameters used in VR 360 degree video coding under Cubemap projection (CMP) format. In addition, updated coding bits thresholds for VR 360 degree video are designed in the proposed algorithm. The experimental results show that the proposed algorithm brings 38.73% and 23.70% saving in average coding time at the cost of only 1.4% and 2.1% Bjontegaard delta rate increase in All-Intra mode and Randomaccess mode, respectively.},
keywords={},
doi={10.1587/transinf.2018EDL8098},
ISSN={1745-1361},
month={March},}
Copy
TY - JOUR
TI - Fast Intra Prediction and CU Partition Algorithm for Virtual Reality 360 Degree Video Coding
T2 - IEICE TRANSACTIONS on Information
SP - 666
EP - 669
AU - Zhi LIU
AU - Cai XU
AU - Mengmeng ZHANG
AU - Wen YUE
PY - 2019
DO - 10.1587/transinf.2018EDL8098
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E102-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2019
AB - Virtual Reality (VR) 360 degree video has ultra-high definition. Reducing the coding complexity becomes a key consideration in coding algorithm design. In this paper, a novel candidate mode pruning process is introduced between Rough Mode Decision and Most Probable Mode based on the statistical analysis of the intra-coding parameters used in VR 360 degree video coding under Cubemap projection (CMP) format. In addition, updated coding bits thresholds for VR 360 degree video are designed in the proposed algorithm. The experimental results show that the proposed algorithm brings 38.73% and 23.70% saving in average coding time at the cost of only 1.4% and 2.1% Bjontegaard delta rate increase in All-Intra mode and Randomaccess mode, respectively.
ER -
English
