Abstract
Considering the characteristics of screen content video, an adaptive rate-distortion optimization algorithm based on CTU level of HEVC-SCC is proposed in this paper. By extracting the perceptual features from the spatial and temporal domain, a new perceptual feature for screen content video is proposed. In spatial domain, the gradient magnitude information of CU is used; in temporal domain, gradient direction as well as gradient magnitude is considered to utilize the correlation of adjacent frames. Then, an adaptive Lagrange operator is proposed to improve the rate-distortion performance of the screen content video coder. Experimental results show that the proposed algorithm can save 9.76% and 12.21% bitrate in random access mode and low delay mode, respectively, while maintaining the perceptual quality of screen content videos; for the same bitrate consumption, the proposed algorithm can improve 0.0057 and 0.006 perceptual quality in random access mode and low delay mode, respectively.
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Acknowledgements
This work was supported by the National Natural Science Foundation of China under the Grants 61802136 and 61871434, Natural Science Foundation of Fujian Province under the Grants 2017J05103 and 2016J01308, Teaching Research Project of Fujian Province under Grant FBJG20180038.
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Ding, J., Chen, J., Zeng, H. (2019). An Adaptive Rate-Distortion Optimization Algorithm for HEVC-SCC with High Perceptual Quality. In: Zhai, G., Zhou, J., An, P., Yang, X. (eds) Digital TV and Multimedia Communication. IFTC 2018. Communications in Computer and Information Science, vol 1009. Springer, Singapore. https://doi.org/10.1007/978-981-13-8138-6_34
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DOI: https://doi.org/10.1007/978-981-13-8138-6_34
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