Retina-based quality assessment of tile-coded 360-degree videos

Viet Hung Nguyen; Ngoc Nam Pham; Cong Thang Truong; Duy Tien Bui; Huu Thanh Nguyen; Thu Huong Truong

Research Article

Retina-based quality assessment of tile-coded 360-degree videos

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@ARTICLE{10.4108/eetinis.v9i32.1058,
    author={Viet Hung Nguyen and Ngoc Nam Pham and Cong Thang Truong and Duy Tien Bui and Huu Thanh Nguyen and Thu Huong Truong},
    title={Retina-based quality assessment of tile-coded 360-degree videos},
    journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems},
    volume={9},
    number={32},
    publisher={EAI},
    journal_a={INIS},
    year={2022},
    month={6},
    keywords={Subjective quality assessment, foveation feature, virtual reality, picture quality, image processing},
    doi={10.4108/eetinis.v9i32.1058}
}

Viet Hung Nguyen
Ngoc Nam Pham
Cong Thang Truong
Duy Tien Bui
Huu Thanh Nguyen
Thu Huong Truong
Year: 2022
Retina-based quality assessment of tile-coded 360-degree videos
INIS
EAI
DOI: 10.4108/eetinis.v9i32.1058

Viet Hung Nguyen¹, Ngoc Nam Pham²^,*, Cong Thang Truong³, Duy Tien Bui⁴, Huu Thanh Nguyen⁴, Thu Huong Truong⁴

1: East Asia University of Technology, Vietnam
2: VinUniversity
3: University of Aizu
4: Hanoi University of Science and Technology

*Contact email: nam.pn@vinuni.edu.vn

Abstract

Nowadays, omnidirectional content, which delivers 360-degree views of scenes, is a significant aspect of Virtual Reality systems. While 360 video requires a lot of bandwidth, users only see visible tiles, therefore a large amount of bitrate can be saved without affecting the user’s experience on the service. The fact leads to current video adaptation solutions to filter out superfluous parts and extraneous bandwidth. To form a good basis for these adaptations, it is necessary to understand human’s video quality perception. In our research, we contribute to building an effective omnidirectional video database that can be applied to study the effects of the five zones of the human retina. We also design a new video quality assessment method to analyze the impacts of those zones of a 360 video according to the human retina. The proposed scheme is found to outperform 22 current objective quality measures by 11 to 31% in terms of the PCC parameter.

Keywords: Subjective quality assessment, foveation feature, virtual reality, picture quality, image processing

Received: 2022-05-18
Accepted: 2022-06-20
Published: 2022-06-21
Publisher: EAI

: http://dx.doi.org/10.4108/eetinis.v9i32.1058

Copyright © 2022 Nguyen Viet Hung et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.