We first design a deep learning approach for recognizing the interestingness of the video content, and then design a Deep Q-Network (DQN) approach for rate ...
Nov 16, 2018 · The most commonly adopted QoE metrics in ABR streaming include rebuffering time, average bitrate, video quality variation, etc. These are ...
Content-aware personalised rate adaptation for adaptive streaming via deep video analysis. G Gao, L Dong, H Zhang, Y Wen, W Zeng. ICC 2019-2019 IEEE ...
However, most of the existing rate adaptation approaches for ABR are content-agnostic, without considering the semantic information of the video content.
Dec 9, 2021 · In this paper, we propose VCMaker, a system that generates video configuration decisions using reinforcement learning (RL).
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However, most of the existing rate adaptation approaches for ABR are content-agnostic, without considering the semantic information of the video content.
Dec 7, 2019 · The article presents a novel affective content-aware adaptation scheme (ACAA) to optimize Quality of Experience (QoE) for dynamic adaptive ...
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This paper provides an investigation of the main technical problems related to video transcoding in ABR streaming, including designing a rate profile for video ...
Dec 30, 2023 · This paper explores the transformative potential of user-centric algorithms in shaping the future landscape of adaptive video streaming.
Sep 7, 2023 · Content-aware personalised rate adaptation for adaptive streaming via deep video analysis. In ICC 2019-2019 IEEE International Conference on ...