We innovatively use Bayesian neural network to dynamically evaluate video signals. Unlike previous neural network solutions, we use probability distributions ...
A bitrate adaptive algorithm denoted 2prong, which utilizes high-dimensional contextual information such as buffer occupancy, predicted throughput and video ...
The network information obtained through MPC can be used as an available feature vector for video quality adaptation. We model the client's decision on a video ...
Dynamic adaptive video streaming over HTTP (DASH) plays a crucial role in delivering video across networks. Traditional adaptive bitrate (ABR) algorithms adjust ...
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We propose a solutions that employs both SVC and non-SVC video to improve user's QoE while avoiding the increased bandwidth overhead and HTTP signaling of SVC.
2prong: Adaptive Video Streaming with DNN and MPC. Conference Paper. Dec 2021 ... Neural Adaptive Video Streaming with Pensieve. Conference Paper. Aug 2017.
As our experiments show, this makes MPC sensitive to throughput prediction errors and the length of the optimization horizon (§3). In this paper, we propose ...
Missing: 2prong: | Show results with:2prong:
Our proposed MPC approach consistently outperforms the state-of-art adaptation algorithms by 15% in broad- band (FCC) dataset and 10% in cellular (HSDPA) ...
Missing: 2prong: DNN
Pensieve is a system that generates adaptive bitrate algorithms using reinforcement learning. http://web.mit.edu/pensieve/