Regions of interest aware versatile video coding for 360° videos

Jayasingam Adhuran, Gosala Kulupana, Anil Fernando

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

2 Citations (Scopus)


Widespread adoption of virtual reality applications continuously urges for better compression of 360° videos due to the large volume of the content. Since a user’s observation is restricted to a limited number of viewports in 360° videos, identification of such regions prior to encoding and adaptively encoding such contents according to the identified regions can both improve the perceptual quality and reduce the bitrates. In response, this paper proposes a novel Region of Interest (ROI) aware pre-processing scheme for 360° video coding. To this end, first, the user observed viewports are estimated by applying the bidirectional optical flow technique. Later, multiple Quality Emphasis Regions (QERs) are fused in order to compose the ROI suitable for encoding. Finally, the viewports are adaptively encoded using an ROI aware video encoder. Experiments in the context of Versatile Video Coding (VVC) Test Model 7.0 show that the proposed method can improve intra-coding compression efficiency up to 10% at the same perceptual video quality.
Original languageEnglish
Title of host publication2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)
Place of PublicationPiscataway, NJ
Number of pages2
ISBN (Electronic)9781665492324
Publication statusPublished - 18 Jan 2023
Event2022 IEEE 11th Global Conference on Consumer Electronics (GCCE) - Osaka, Japan
Duration: 18 Oct 202221 Oct 2022


Conference2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)


  • 360° videos
  • perceptual quality
  • region of interest
  • versatile video coding
  • viewport estimation


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