Test sequence selection method for video criticality evaluation

Yingyun Yang; Sijin Chen

doi:10.1117/12.2611382

22 October 2021 Test sequence selection method for video criticality evaluation

Yingyun Yang, Sijin Chen

Proceedings Volume 11928, International Conference on Image Processing and Intelligent Control (IPIC 2021); 1192803 (2021) https://doi.org/10.1117/12.2611382
Event: International Conference on Image Processing and Intelligent Control (IPIC 2021), 2021, Lanzhou, China

Abstract

Criticality is a measure of the difficulty of video compression. Image sequences with high criticality are required for the evaluation of video compression algorithms. The selected test sequences are usually determined by experts from large amounts of material,which is labor-intensive and subjective. In order to solve this problem, a test sequence selection algorithm for video criticality evaluation is proposed in this paper. Based on basic principles of video coding, four types of metrics including texture map variance, AC energy, motion vector difference and motion angle entropy are selected in this paper. The least squares method is applied to fit the parameters of these four types of metrics to their corresponding criticality values for multiple resolution image sequences, and the fitting results are verified by experiments to effectively select the test sequences.

Citation Download Citation

Yingyun Yang and Sijin Chen "Test sequence selection method for video criticality evaluation", Proc. SPIE 11928, International Conference on Image Processing and Intelligent Control (IPIC 2021), 1192803 (22 October 2021); https://doi.org/10.1117/12.2611382

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