Content-Adaptive 360-Degree Video Coding Using Hybrid Cubemap Projection

Yuwen He; Xiaoyu Xiu; Philippe Hanhart; Yan Ye; Fanyi Duanmu; Yao Wang

doi:10.1109/PCS.2018.8456280

Content-Adaptive 360-Degree Video Coding Using Hybrid Cubemap Projection

Yuwen He, Xiaoyu Xiu, Philippe Hanhart, Yan Ye, Fanyi Duanmu, Yao Wang

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, a novel hybrid cubemap projection (HCP) is proposed to improve the 360-degree video coding efficiency. HCP allows adaptive sampling adjustments in the horizontal and vertical directions within each cube face. HCP parameters of each cube face can be adjusted based on the input 360-degree video content characteristics for a better sampling efficiency. The HCP parameters can be updated periodically to adapt to temporal content variation. An efficient HCP parameter estimation algorithm is proposed to reduce the computational complexity of parameter estimation. Experimental results demonstrate that HCP format achieves on average luma (Y) BD-rate reduction of 11.51%, 8.0%, and 0.54% compared to equirectangular projection format, cubemap projection format, and adjusted cubemap projection format, respectively, in terms of end-to-end WS-PSNR.

Original language	English (US)
Title of host publication	2018 Picture Coding Symposium, PCS 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	313-317
Number of pages	5
ISBN (Print)	9781538641606
DOIs	https://doi.org/10.1109/PCS.2018.8456280
State	Published - Sep 5 2018
Event	33rd Picture Coding Symposium, PCS 2018 - San Francisco, United States Duration: Jun 24 2018 → Jun 27 2018

Publication series

Name	2018 Picture Coding Symposium, PCS 2018 - Proceedings

Other

Other	33rd Picture Coding Symposium, PCS 2018
Country/Territory	United States
City	San Francisco
Period	6/24/18 → 6/27/18

ASJC Scopus subject areas

Signal Processing
Media Technology

Access to Document

10.1109/PCS.2018.8456280

Cite this

He, Y., Xiu, X., Hanhart, P., Ye, Y., Duanmu, F., & Wang, Y. (2018). Content-Adaptive 360-Degree Video Coding Using Hybrid Cubemap Projection. In 2018 Picture Coding Symposium, PCS 2018 - Proceedings (pp. 313-317). Article 8456280 (2018 Picture Coding Symposium, PCS 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PCS.2018.8456280

Content-Adaptive 360-Degree Video Coding Using Hybrid Cubemap Projection. / He, Yuwen; Xiu, Xiaoyu; Hanhart, Philippe et al.
2018 Picture Coding Symposium, PCS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 313-317 8456280 (2018 Picture Coding Symposium, PCS 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

He, Y, Xiu, X, Hanhart, P, Ye, Y, Duanmu, F & Wang, Y 2018, Content-Adaptive 360-Degree Video Coding Using Hybrid Cubemap Projection. in 2018 Picture Coding Symposium, PCS 2018 - Proceedings., 8456280, 2018 Picture Coding Symposium, PCS 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 313-317, 33rd Picture Coding Symposium, PCS 2018, San Francisco, United States, 6/24/18. https://doi.org/10.1109/PCS.2018.8456280

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abstract = "In this paper, a novel hybrid cubemap projection (HCP) is proposed to improve the 360-degree video coding efficiency. HCP allows adaptive sampling adjustments in the horizontal and vertical directions within each cube face. HCP parameters of each cube face can be adjusted based on the input 360-degree video content characteristics for a better sampling efficiency. The HCP parameters can be updated periodically to adapt to temporal content variation. An efficient HCP parameter estimation algorithm is proposed to reduce the computational complexity of parameter estimation. Experimental results demonstrate that HCP format achieves on average luma (Y) BD-rate reduction of 11.51%, 8.0%, and 0.54% compared to equirectangular projection format, cubemap projection format, and adjusted cubemap projection format, respectively, in terms of end-to-end WS-PSNR.",

author = "Yuwen He and Xiaoyu Xiu and Philippe Hanhart and Yan Ye and Fanyi Duanmu and Yao Wang",

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Content-Adaptive 360-Degree Video Coding Using Hybrid Cubemap Projection

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