Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity   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 simplistic to understand the nuances
of video content. Instead of proposing yet another heuristic, we take a
different approach: we run a separate crowdsourcing experiment for each video
to derive users' quality sensitivity at different parts of the video. Of
course, the cost of doing this at scale can be prohibitive, but we show that
careful experiment design combined with a suite of pruning techniques can make
the cost negligible compared to how much content providers invest in content
generation and distribution. Our ability to accurately profile time-varying
user sensitivity inspires a new approach: dynamically aligning higher (lower)
quality with higher (lower) sensitivity periods. We present a new video
streaming system called SENSEI that incorporates dynamic quality sensitivity
into existing quality adaptation algorithms. We apply SENSEI to two
state-of-the-art adaptation algorithms. SENSEI can take seemingly unusual
actions: e.g., lowering bitrate (or initiating a rebuffering event) even when
bandwidth is sufficient so that it can maintain a higher bitrate without
rebuffering when quality sensitivity becomes higher in the near future.
Compared to state-of-the-art approaches, SENSEI improves QoE by 15.1% or
achieves the same QoE with 26.8% less bandwidth on average.

35
The categories of this paper are: mtrl-th
34
The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an
30
The categories of this paper are: q-alg
11
The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom
23
The categories of this paper are: solv-int
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph
27
The categories of this paper are: comp-gas