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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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 languageEnglish (US)
Title of host publication2018 Picture Coding Symposium, PCS 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Print)9781538641606
StatePublished - Sep 5 2018
Event33rd Picture Coding Symposium, PCS 2018 - San Francisco, United States
Duration: Jun 24 2018Jun 27 2018

Publication series

Name2018 Picture Coding Symposium, PCS 2018 - Proceedings


Other33rd Picture Coding Symposium, PCS 2018
Country/TerritoryUnited States
CitySan Francisco

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology


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