Improving HEVC Coding Efficiency Using Virtual Long-Term Reference Pictures
conference contributionposted on 28.03.2022, 15:30 authored by Buddhiprabha Erabadda, Thanuja MallikarachchiThanuja Mallikarachchi, Gosala Kulupana, Anil Fernando
Inter-frame prediction in HEVC uses two types of reference pictures: short-term and long-term. Out of these long-term reference (LTR) pictures enable exploiting correlation among frames with extended temporal distances. In addition, LTR pictures improve the inter-frame prediction where video scenes are repeated such as in TV-series episodes, news broad-casts and movies. In this context, this paper proposes an algorithm to calculate LTR pictures using artificially generated virtual reference frames for static-camera scenes. The experimental results demonstrate an average coding improvement of2.34%in terms of Bjøntegaard Delta Bit Rate(BDBR), when compared with the HEVC reference encoder HM16.8.
This work was supported by the CONTENT4ALL project, which is funded under European Commission’s H2020 Framework Program (Grant number:762021).
Presented at2020 IEEE 9th Global Conference on Consumer Electronics (GCCE 2020)
Published in2020 IEEE 9th Global Conference on Consumer Electronics (GCCE 2020)
VersionAM (Accepted Manuscript)
CitationErabadda, B., Mallikarachchi, T., Kulupana, G., Fernando, A. (2020) 'Improving HEVC Coding Efficiency Using Virtual Long-Term Reference Pictures', 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE 2020) Kobe: 13- 16th October 2020
Cardiff Met Affiliation
- Cardiff School of Technologies