Title: An optical flow direction-based full reference video quality assessment algorithm

Authors: Sagar Gujjunoori; Madhu Oruganti

Addresses: Research Lab (1304), Vardhaman College of Engineering, Shamshabad, Hyderabad, Telangana, 501218, India ' Department of Electronics and Communication Engineering, National Institute of Technology Raipur, India

Abstract: Modelling of functions of visual cortex and optical flow field has made it possible to develop many sophisticated human visual system-based visual quality assessment algorithms. There exist very few video quality assessment algorithms which consider spatio-temporal distortions effectively. In this article, based on the direction of optical flow field, we propose a full reference video quality algorithm. We claim that some temporal distortions, which are present in other directions than the majority of optical flow field directions, can not be easily perceivable by the human observer; hence it results in reduced video quality scores. Our proposed method achieved high video quality score and higher correlation with formally existed algorithm and near to the objective scores. Our experimental results demonstrate that the proposed algorithm improves the state of art.

Keywords: optical flow; direction; video quality assessment; VQA; human visual system; HVS.

DOI: 10.1504/IJHPCN.2020.112701

International Journal of High Performance Computing and Networking, 2020 Vol.16 No.2/3, pp.148 - 159

Received: 12 Jun 2020
Accepted: 08 Oct 2020

Published online: 12 Jan 2021 *

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