Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Knowledge-Driven Quality-of-Experience Model for Adaptive Streaming
  Videos   The fundamental conflict between the enormous space of adaptive streaming
videos and the limited capacity for subjective experiment casts significant
challenges to objective Quality-of-Experience (QoE) prediction. Existing
objective QoE models exhibit complex functional form, failing to generalize
well in diverse streaming environments. In this study, we propose an objective
QoE model namely knowledge-driven streaming quality index (KSQI) to integrate
prior knowledge on the human visual system and human annotated data in a
principled way. By analyzing the subjective characteristics towards streaming
videos from a corpus of subjective studies, we show that a family of QoE
functions lies in a convex set. Using a variant of projected gradient descent,
we optimize the objective QoE model over a database of training videos. The
proposed KSQI demonstrates strong generalizability to diverse streaming
environments, evident by state-of-the-art performance on four publicly
available benchmark datasets.

28
The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph
14
The categories of this paper are: math-ph
32
The categories of this paper are: atom-ph
25
The categories of this paper are: patt-sol
24
The categories of this paper are: dg-ga
8
The categories of this paper are: hep-ex
20
The categories of this paper are: acc-phys
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The categories of this paper are: comp-gas
36
The categories of this paper are: cmp-lg
30
The categories of this paper are: q-alg
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The categories of this paper are: hep-th
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The categories of this paper are: supr-con
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The categories of this paper are: ao-sci
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The categories of this paper are: physics
0
The categories of this paper are: hep-ph