Virtual Frames as Long-Term Reference Frames for HEVC Inter-Prediction

Buddhiprabha Erabadda, Thanuja Mallikarachchi, Gosala Kulupana, Anil Fernando: Virtual Frames as Long-Term Reference Frames for HEVC Inter-Prediction. In: 2020 IEEE International Conference on Consumer Electronics (ICCE), pp. 1-2, 2020, ISSN: 2158-4001.

Abstract

High Efficiency Video Coding(HEVC) employs both past or future frames when encoding the current frame in a video sequence. This paper proposes a framework for using virtual reference frames, to achieve increased coding gains in the long-term for repetitive scenes in static camera scenarios.

BibTeX (Download)

@inproceedings{9043054,
title = {Virtual Frames as Long-Term Reference Frames for HEVC Inter-Prediction},
author = {Buddhiprabha Erabadda and Thanuja Mallikarachchi and Gosala Kulupana and Anil Fernando},
doi = {10.1109/ICCE46568.2020.9043054},
issn = {2158-4001},
year  = {2020},
date = {2020-01-01},
booktitle = {2020 IEEE International Conference on Consumer Electronics (ICCE)},
pages = {1-2},
abstract = {High Efficiency Video Coding(HEVC) employs both past or future frames when encoding the current frame in a video sequence. This paper proposes a framework for using virtual reference frames, to achieve increased coding gains in the long-term for repetitive scenes in static camera scenarios.},
keywords = {HEVC inter-prediction, image sequences, long-term reference frames, University of Surrey, Video coding, video sequence, virtual frames, virtual reference frames},
pubstate = {published},
tppubtype = {inproceedings}
}