MRMark: A Machine Performance Evaluation Method for Three-dimensional Video Fusion

doi:10.16182/j.issn1004731x.joss.19-VR0442

Abstract

Abstract: The three-dimensional video fusion system needs the calculation of video and graphics, and requires high machine performance. The existing commercial evaluation tools lack the corresponding considerations, which may cause the inconsistency of a machine's performance from the score. A machine performance evaluation method for three-dimensional video fusion is proposed and an evaluation tool MRMark is implemented. Several sets of standard 3D test scenes are designed according to the characteristics of the video fusion system, the statistics on the frame rate, the number of video channels played and the other parameters during the test are collected to calculate the GPU, CPU and coupling score, as well as the overall performance score of the machine. The results show that, compared to the existing evaluation tools, the tool can more effectively detect the ability of the machine to perform the three-dimensional video fusion calculations.

Key words: performance evaluation, evaluation tool, virtual scene, virtual-reality integration

CLC Number:

TP311.56

Sun Yifei, Cai Liangliang, Zhou Yi, Zhou Zhong. MRMark: A Machine Performance Evaluation Method for Three-dimensional Video Fusion[J]. Journal of System Simulation, 2020, 32(7): 1375-1384.

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