The continuous evolution of cloud gaming makes it crucial for efficient video compression to relieve the growing bandwidth pressure. This paper presents a coding optimization algorithm for cloud gaming videos based on three-dimensional image warping, considering the significance of reference frames in inter-frame prediction. By leveraging camera parameters and motion information from the game engine, we generate a virtual reference frame through three-dimensional image warping on the selected key frame and the coloring operation. The resulting virtual reference frame exhibits minimal spatial differences from the frame to be encoded and is utilized to update the original reference frame list in two different methods, achieving accurate inter-frame prediction and significantly reducing coding residuals. Experimental results demonstrate the superiority of our algorithm compared to the mainstream cloud gaming encoder in various camera movements, achieving an average BD-rate reduction of 5.60% and BD-PSNR gain of 0.55dB.
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Wang et al. (2024) studied this question.
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