SPIE Optics + Photonics
Quality Metrics (QM) provide an objective way to measure perceived video quality. These metrics are very compute intensive and are currently done in software. In this paper, we propose an accelerator that can compute metrics like single scale and multi-scale Structural Similarity Index (SSIM, MS_SSIM) and Visual Information Fidelity (VIF). The proposed accelerator offers an energy efficient solution compared to traditional CPUs. It improves memory bandwidth utilization by computing multiple Quality metrics simultaneously.
Donglai Xiang, Timur Bagautdinov, Tuur Stuyck, Fabian Prada, Javier Romero, Weipeng Xu, Shunsuke Saito, Jingfan Guo, Breannan Smith, Takaaki Shiratori, Yaser Sheikh, Jessica Hodgins, Chenglei Wu
Ludwig Sidenmark, Mark Parent, Chi-Hao Wu, Joannes Chan, Michael Glueck, Daniel Wigdor, Tovi Grossman, Marcello Giordano
Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra
