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Publication - Professor David Bull


    A Video Quality Metric for Spatial Resolution Adaptation


    Mackin, A, Afonso, M, Zhang, F & Bull, D, 2018, ‘SRQM: A Video Quality Metric for Spatial Resolution Adaptation’. in: 2018 Picture Coding Symposium 2018 (PCS 2018): Proceedings of a meeting held 24-27 June 2018, San Francisco, California, USA. Institute of Electrical and Electronics Engineers (IEEE), pp. 283-287


    This paper presents a full reference objective video quality metric (SRQM), which characterises the relationship between variations in spatial resolution and visual quality in the context of adaptive video formats. SRQM uses wavelet decomposition, subband combination with perceptually inspired weights, and spatial pooling, to estimate the relative quality between the frames of a high resolution reference video, and one that has been spatially adapted through a combination of down and upsampling. The uVI-SR video database is used to benchmark SRQM against five commonly-used quality metrics. The database contains 24 diverse video sequences that span a range of spatial resolutions up to UHD-I (3840× 2160). An in- depth analysis demonstrates that SRQM is statistically superior to the other quality metrics for all tested adaptation filters, and all with relatively low computational complexity.

    Full details in the University publications repository