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SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity
[article]
2020
arXiv
pre-print
This paper aims to improve video streaming by leveraging a simple observation: users are more sensitive to low quality in certain parts of a video than in others. For instance, rebuffering during key moments of a sports video (e.g., before a goal is scored) is more annoying than rebuffering during normal gameplay. Such dynamic quality sensitivity, however, is rarely captured by current approaches, which predict QoE (quality-of-experience) using one-size-fits-all heuristics that are too
arXiv:2008.04687v1
fatcat:cxaxa26girgypfpyuik3zv3bru