Video Quality Prediction over Wireless 4G

Chun Pong Lau; Xiangliang Zhang; Basem Shihada

doi:10.1007/978-3-642-37456-2_35

Video Quality Prediction over Wireless 4G

Chun Pong Lau, Xiangliang Zhang, Basem Shihada

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

In this paper, we study the problem of video quality prediction over the wireless 4G network. Video transmission data is collected from a real 4G SCM testbed for investigating factors that affect video quality. After feature transformation and selection on video and network parameters, video quality is predicted by solving as regression problem. Experimental results show that the dominated factor on video quality is the channel attenuation and video quality can be well estimated by our models with small errors.

Original language	English (US)
Title of host publication	Advances in Knowledge Discovery and Data Mining
Publisher	Springer Nature
Pages	414-425
Number of pages	12
ISBN (Print)	978-3-642-37456-2
DOIs	https://doi.org/10.1007/978-3-642-37456-2_35
State	Published - Apr 5 2013

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10.1007/978-3-642-37456-2_35

https://repository.kaust.edu.sa/bitstream/10754/362460/1/PAKDD2013submit.pdf

Cite this

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title = "Video Quality Prediction over Wireless 4G",

abstract = "In this paper, we study the problem of video quality prediction over the wireless 4G network. Video transmission data is collected from a real 4G SCM testbed for investigating factors that affect video quality. After feature transformation and selection on video and network parameters, video quality is predicted by solving as regression problem. Experimental results show that the dominated factor on video quality is the channel attenuation and video quality can be well estimated by our models with small errors.",

author = "Lau, {Chun Pong} and Xiangliang Zhang and Basem Shihada",

note = "KAUST Repository Item: Exported on 2020-10-01",

year = "2013",

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doi = "10.1007/978-3-642-37456-2_35",

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T1 - Video Quality Prediction over Wireless 4G

AU - Lau, Chun Pong

AU - Zhang, Xiangliang

AU - Shihada, Basem

N1 - KAUST Repository Item: Exported on 2020-10-01

PY - 2013/4/5

Y1 - 2013/4/5

N2 - In this paper, we study the problem of video quality prediction over the wireless 4G network. Video transmission data is collected from a real 4G SCM testbed for investigating factors that affect video quality. After feature transformation and selection on video and network parameters, video quality is predicted by solving as regression problem. Experimental results show that the dominated factor on video quality is the channel attenuation and video quality can be well estimated by our models with small errors.

AB - In this paper, we study the problem of video quality prediction over the wireless 4G network. Video transmission data is collected from a real 4G SCM testbed for investigating factors that affect video quality. After feature transformation and selection on video and network parameters, video quality is predicted by solving as regression problem. Experimental results show that the dominated factor on video quality is the channel attenuation and video quality can be well estimated by our models with small errors.

UR - http://hdl.handle.net/10754/362460

UR - http://www.shihada.com/node/publications/PAKDD2013submit.pdf

UR - http://www.scopus.com/inward/record.url?scp=84893525239&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-37456-2_35

DO - 10.1007/978-3-642-37456-2_35

M3 - Conference contribution

SN - 978-3-642-37456-2

SP - 414

EP - 425

BT - Advances in Knowledge Discovery and Data Mining

PB - Springer Nature

ER -

Video Quality Prediction over Wireless 4G

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