No-reference Mobile Video Quality Assessment Based on Video Natural Statistics

SHI Wenjuan; SUN Yanjing; ZUO Haiwei; CAO Qi

doi:10.11999/JEIT170165

Volume 40 Issue 1

Jan. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(1): 143-150

SHI Wenjuan, SUN Yanjing, ZUO Haiwei, CAO Qi. No-reference Mobile Video Quality Assessment Based on Video Natural Statistics[J]. Journal of Electronics & Information Technology, 2018, 40(1): 143-150. doi: 10.11999/JEIT170165

Citation:

SHI Wenjuan, SUN Yanjing, ZUO Haiwei, CAO Qi. No-reference Mobile Video Quality Assessment Based on Video Natural Statistics[J]. Journal of Electronics & Information Technology, 2018, 40(1): 143-150. doi: 10.11999/JEIT170165

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No-reference Mobile Video Quality Assessment Based on Video Natural Statistics

doi: 10.11999/JEIT170165

1.
2.
(School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221008, China)

Funds:

The National Natural Science Foundation of China (51504214, 61771417), The Natural Science Foundation of Jiangsu Province (BK20150204), The National Key Research and Development Program (2016YFC0801403), The Fundamental Research and Development Foundation of Jiangsu Province (BE2015040), China Postdoctoral Science Foundation (2015M 581884)

Received Date: 2017-02-27
Rev Recd Date: 2017-10-23
Publish Date: 2018-01-19

Abstract

Abstract

Considering the influence of compression and wireless channel packet-loss on mobile video quality in wireless network, analyzing the space-time perceptual statistics of the differences between video adjacent frames, a No-reference Mobile Video Quality Assessment (NMVQA) algorithm is proposed based on video natural statistics. First, the influences of various video distortion type on the statistical characteristics of difference coefficients between video adjacent frames are analyzed in terms of the natural statistical regularities of video frame difference. Second, the temporal change of the distribution parameters with respect to the products of adjacent frame differences computed along horizontal, vertical and diagonal spatial orientations are calculated. Finally, the distortion degree of mobile video is measured by the correlation between the multi-scale temporal changes of statistical characteristics of difference coefficients between video adjacent frames. Experimental results in the LIVE mobile video database show that NMVQA is well consistent with subjective assessment results, and can reflect human subjective feeling well. NMVQA can evaluate the performance of real-time online adjustment of the source rate and wireless channel parameters.
- Video quality assessment,
- No-reference,
- Mobile video,
- Natural statistics,
- Adjacent frame difference

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References(18)

References

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