Optimal Distortion Minimization for 360° Video Compression with VVC

Adhuran Jayasingam, Gosala Kulupana, Chathura Galkandage, Anil Fernando: Optimal Distortion Minimization for 360° Video Compression with VVC. In: 2020 IEEE International Conference on Consumer Electronics (ICCE), pp. 1-3, 2020, ISSN: 2158-4001.

Abstract

It is vital that video encoders understand and remove the redundant information present in spherically projected 360° videos. To this end, this paper formulates a spherically adaptive objective function that incorporates novel adaptive quantization and weighted residual techniques to reduce the magnitude of redundant information while minimizing the distortion. Furthermore, this paper identifies the residual weighting function and the most optimal quantization parameters that are used to encode 360° videos. The proposed method is tested with test model of Versatile Video Coding (VVC) with All-Intra configurations. The obtained results exhibit an average bit rate saving of 3.18%.

BibTeX (Download)

@inproceedings{9043034,
title = {Optimal Distortion Minimization for 360° Video Compression with VVC},
author = {Adhuran Jayasingam and Gosala Kulupana and Chathura Galkandage and Anil Fernando},
doi = {10.1109/ICCE46568.2020.9043034},
issn = {2158-4001},
year  = {2020},
date = {2020-01-01},
booktitle = {2020 IEEE International Conference on Consumer Electronics (ICCE)},
pages = {1-3},
abstract = {It is vital that video encoders understand and remove the redundant information present in spherically projected 360° videos. To this end, this paper formulates a spherically adaptive objective function that incorporates novel adaptive quantization and weighted residual techniques to reduce the magnitude of redundant information while minimizing the distortion. Furthermore, this paper identifies the residual weighting function and the most optimal quantization parameters that are used to encode 360° videos. The proposed method is tested with test model of Versatile Video Coding (VVC) with All-Intra configurations. The obtained results exhibit an average bit rate saving of 3.18%.},
keywords = {360° videos, adaptive quantization, BD-Rate, Bit rate, ERP, objective function, redundant information, residual weighting, University of Surrey, WCPPPSNR},
pubstate = {published},
tppubtype = {inproceedings}
}