inis 22(32): 2

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.