Abstract
In this paper, a novel content-oriented video quality prediction model for HEVC encoded video stream is proposed, which takes into account of quantization parameter (QP) and the newly proposed content based video metric. Firstly, the proposed content type metric is developed by combining temporal and spatial information as well as the standard deviation of bitrates. By extensive experiments, we find there exist logarithmic relationship between the content type metric and video quality. Then we set up a content-oriented video quality prediction model based on above experiments. The experimental results demonstrate the proposed prediction model can achieve an overall correlation coefficient of 98% with the training sequences and 97% with the testing sequences.
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Acknowledgment
This work was supported by National Natural Science Foundation of China (61671283, 61301113), Natural Science Foundation of Shanghai (13ZR1416500), and Open Project of Key Laboratory of Advanced Display and System Application.
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Zhu, K., Wang, Y., Wu, J., Zhu, Y., Zhang, W. (2017). Content Oriented Video Quality Prediction for HEVC Encoded Stream. In: Yang, X., Zhai, G. (eds) Digital TV and Wireless Multimedia Communication. IFTC 2016. Communications in Computer and Information Science, vol 685. Springer, Singapore. https://doi.org/10.1007/978-981-10-4211-9_33
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DOI: https://doi.org/10.1007/978-981-10-4211-9_33
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