Improving HEVC Coding Efficiency Using Virtual Long-Term Reference Pictures.pdf (153.56 kB)
Improving HEVC Coding Efficiency Using Virtual Long-Term Reference Pictures
conference contribution
posted on 2022-03-28, 15:30 authored by Buddhiprabha Erabadda, Thanuja MallikarachchiThanuja Mallikarachchi, Gosala Kulupana, Anil FernandoInter-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.
Funding
This work was supported by the CONTENT4ALL project, which is funded under European Commission’s H2020 Framework Program (Grant number:762021).
History
Presented at
2020 IEEE 9th Global Conference on Consumer Electronics (GCCE 2020)Published in
2020 IEEE 9th Global Conference on Consumer Electronics (GCCE 2020)Publisher
IEEEVersion
- AM (Accepted Manuscript)
Citation
Erabadda, 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 2020Print ISSN
2378-8143ISBN
978-1-7281-9802-6Cardiff Met Affiliation
- Cardiff School of Technologies
Cardiff Met Authors
Thanuja MallikarachchiCopyright Holder
- © The Publisher
Publisher Rights Statement
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Language
- en