C2

Park, Cheonjin; Shende, Chinmaey; Sen, Subhabrata; Wang, Bing

doi:10.1145/3524273.3528185

Proceedings of the 13th ACM Multimedia Systems Conference 2022

DOI: 10.1145/3524273.3528185

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C2

Cheonjin Park¹,

Chinmaey Shende²,

Subhabrata Sen

et al.

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2024

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Cited by 2 publications

References 16 publications

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VASE: Enhancing Adaptive Bitrate Selection for VBR-Encoded Audio and Video Content With Deep Reinforcement Learning

Li,

Huang,

et al. 2024

IEEE Trans. on Mobile Comput.

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VASE: Enhancing Adaptive Bitrate Selection for VBR-Encoded Audio and Video Content With Deep Reinforcement Learning

Li,

Huang,

et al. 2024

IEEE Trans. on Mobile Comput.

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C2: ABR Streaming in Cognizant of Consumption Context for Improved QoE and Resource Usage Tradeoffs

Park,

Shende,

Sen

et al. 2024

ACM Trans. Multimedia Comput. Commun. Appl.

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Smartphones have emerged as ubiquitous platforms for people to consume content in a wide range of consumption contexts (C2) , e.g., over cellular or WiFi, playing back audio and video directly on phone or through peripheral devices such as external screens or speakers. In this paper, we argue that a user’s specific C2 is an important factor to consider in Adaptive Bitrate (ABR) streaming. We examine the current practices of using C2 in five popular ABR players, and identify various limitations in existing treatments that have a detrimental impact on network resource usage and user experience. We then formulate C2-cognizant ABR streaming as an optimization problem and develop practical best-practice guidelines to realize it. Instantiating these guidelines, we develop a proof-of-concept implementation in the widely used state-of-the-art ExoPlayer platform and demonstrate that it leads to significantly better tradeoffs in terms of user experience and resource usage. Last, we show that the guidelines also benefit dash.js player that uses an ABR logic significantly different from that of ExoPlayer.

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C2

Cited by 2 publications

References 16 publications

VASE: Enhancing Adaptive Bitrate Selection for VBR-Encoded Audio and Video Content With Deep Reinforcement Learning

VASE: Enhancing Adaptive Bitrate Selection for VBR-Encoded Audio and Video Content With Deep Reinforcement Learning

C2: ABR Streaming in Cognizant of Consumption Context for Improved QoE and Resource Usage Tradeoffs

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