Bi-layer texture discriminant fast depth intra coding for 3D-HEVC
3D-HEVC explores several new intra-frame depth coding tools to improve the coding efficiency, but at the price of high computational complexity, which hinders the practical applications of 3D-HEVC. Therefore, a bi-layer texture discriminant fast depth intra coding for 3D-HEVC is proposed in this pap...
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sg-ntu-dr.10356-1060952019-12-06T22:04:28Z Bi-layer texture discriminant fast depth intra coding for 3D-HEVC Zuo, Jiabao Chen, Jing Zeng, Huanqiang Cai, Canhui Ma, Kai-Kuang School of Electrical and Electronic Engineering Depth Intra Coding 3D-HEVC DRNTU::Engineering::Electrical and electronic engineering 3D-HEVC explores several new intra-frame depth coding tools to improve the coding efficiency, but at the price of high computational complexity, which hinders the practical applications of 3D-HEVC. Therefore, a bi-layer texture discriminant fast depth intra coding for 3D-HEVC is proposed in this paper. With a sum of gradient matrix (SGM), the texture complexity (TC) of current depth coding unit (CU) and its subblocks are calculated at once. The values of TCs indicate whether to split the depth CU further and skip unnecessary DMMs checking. The experimental results show that compared with the original 3D-HEVC, the proposed algorithm reduces the depth encoding time by 44.8%, and the average bit rate of the synthetic viewpoint is only increased by 0.38%, which outperforms the state-of-the-art fast 3D-HEVC algorithms. Published version 2019-06-20T06:10:42Z 2019-12-06T22:04:28Z 2019-06-20T06:10:42Z 2019-12-06T22:04:28Z 2019 Journal Article Zuo, J., Chen, J., Zeng, H., Cai, C., & Ma, K.-K. (2019). Bi-layer texture discriminant fast depth intra coding for 3D-HEVC. IEEE Access, 7, 34265-34274. doi:10.1109/ACCESS.2019.2897161 https://hdl.handle.net/10356/106095 http://hdl.handle.net/10220/48872 http://dx.doi.org/10.1109/ACCESS.2019.2897161 en IEEE Access © 2019 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. 10 p. application/pdf |
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Depth Intra Coding 3D-HEVC DRNTU::Engineering::Electrical and electronic engineering Zuo, Jiabao Chen, Jing Zeng, Huanqiang Cai, Canhui Ma, Kai-Kuang Bi-layer texture discriminant fast depth intra coding for 3D-HEVC |
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3D-HEVC explores several new intra-frame depth coding tools to improve the coding efficiency, but at the price of high computational complexity, which hinders the practical applications of 3D-HEVC. Therefore, a bi-layer texture discriminant fast depth intra coding for 3D-HEVC is proposed in this paper. With a sum of gradient matrix (SGM), the texture complexity (TC) of current depth coding unit (CU) and its subblocks are calculated at once. The values of TCs indicate whether to split the depth CU further and skip unnecessary DMMs checking. The experimental results show that compared with the original 3D-HEVC, the proposed algorithm reduces the depth encoding time by 44.8%, and the average bit rate of the synthetic viewpoint is only increased by 0.38%, which outperforms the state-of-the-art fast 3D-HEVC algorithms. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Zuo, Jiabao Chen, Jing Zeng, Huanqiang Cai, Canhui Ma, Kai-Kuang |
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Article |
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Zuo, Jiabao Chen, Jing Zeng, Huanqiang Cai, Canhui Ma, Kai-Kuang |
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Zuo, Jiabao |
title |
Bi-layer texture discriminant fast depth intra coding for 3D-HEVC |
title_short |
Bi-layer texture discriminant fast depth intra coding for 3D-HEVC |
title_full |
Bi-layer texture discriminant fast depth intra coding for 3D-HEVC |
title_fullStr |
Bi-layer texture discriminant fast depth intra coding for 3D-HEVC |
title_full_unstemmed |
Bi-layer texture discriminant fast depth intra coding for 3D-HEVC |
title_sort |
bi-layer texture discriminant fast depth intra coding for 3d-hevc |
publishDate |
2019 |
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https://hdl.handle.net/10356/106095 http://hdl.handle.net/10220/48872 http://dx.doi.org/10.1109/ACCESS.2019.2897161 |
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