This paper propose a new method to predict HPoQ by using simple distortion measures and introducing video content features in their computation. Our methodology is based on analyzing the level of spatio-temporal activity and combining HPoQ content related parameters with simple distortion measures. Our results show that even very simple distortion measures such as PSNR and simple spatio-temporal activity measures lead to good results. Results over four different public video quality databases show that the proposed methodology, while faster and simpler, is competitive with current state-of-the-art methods, i.e., correlations between objective and subjective assessment higher than 80% and it is only two times slower than PSNR.
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B. Ortiz-Jaramillo, J. Niño-Castañeda, Ljiljana Platiša, W. Philips, "Content-aware video quality assessment: predicting human perception of quality using peak signal to noise ratio and spatial/temporal activity," Proc. SPIE 9399, Image Processing: Algorithms and Systems XIII, 939917 (16 March 2015);