Abstract
With the development of multimedia technology and the upgrading of mobile terminal equipment, short video platforms and applications are becoming more and more popular. Compared with traditional long video, short video users tend to slide from current viewing video more frequently. Unviewed preloaded video chunks cause a large amount of bandwidth waste and do not contribute to improving the user QoE. Since bandwidth savings conflict with user QoE improvements, it is very challenging to satisfy both. To solve this problem, this paper proposes DHP, a joint video download and dynamic bitrate adaptation algorithm for short video streaming. DHP makes the chunk download decision based on the maximum buffer model and retention rate, and makes the dynamic bitrate adaptation decision according to past bandwidth and buffer size. Experimental results show that DHP can reduce the bandwidth waste by at most 66.74% and improve the QoE by at most 42.5% compared to existing solutions under various network conditions.
W. Gao and L. Zhang—Contributed equally to this work.
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Acknowledgements
This work was supported by the National Key R &D Program of China (Grant No. 2019YFB1804303), the National Natural Science Foundation of China (Grant No. 61971382) and the Fundamental Research Funds for the Central Universities (CUC22GZ067).
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Gao, W., Zhang, L., Yang, H., Zhang, Y., Yan, J., Lin, T. (2023). DHP: A Joint Video Download and Dynamic Bitrate Adaptation Algorithm for Short Video Streaming. In: Dang-Nguyen, DT., et al. MultiMedia Modeling. MMM 2023. Lecture Notes in Computer Science, vol 13834. Springer, Cham. https://doi.org/10.1007/978-3-031-27818-1_48
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