No-Reference Network Packet Loss Video Quality Assessment Model Based on LS-SVM - Details

Author：

Wang, Jin (Wang, Jin.) | Bin Hou, Yi (Bin Hou, Yi.)

Indexed by：

CPCI-S EI Scopus

Abstract：

The　authors　in　this　paper　propose　to　build　a　NS2　+　MyEvalvid　simulation　platform　for　the　purpose　of　qualitative　evaluation　of　a　video　signal　which　emerge　through　the　network　transmission.　The　paper　also　emphasizes　on　feature　extraction　using　Least　squares　support　vector　machine　method　to　establish　no-reference　network　packet　loss　video　quality　assessment　model　based　on　LS-SVM.　The　experimental　results　show　that　LS-SVM＇s　training　speed　is　fast　and　the　proposed　model　displays　greater　level　of　accuracy　than　the　other　models.

Keyword：

Network packet loss No-reference Least squares support vector machine

Author Community：

[ 1 ] [Wang, Jin]Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China
[ 2 ] [Bin Hou, Yi]Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China
[ 3 ] [Wang, Jin]Shijiazhuang Tiedao Univ, Shijiazhuang, Peoples R China

Reprint Author's Address：

[Wang, Jin]Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China;;[Bin Hou, Yi]Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China;;[Wang, Jin]Shijiazhuang Tiedao Univ, Shijiazhuang, Peoples R China

Email：

805372192@qq.com |
ybhou@bjut.edu.cn

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Related Keywords：

LS-SVM's no-reference video quality assessment model under the Internet of things
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LS-SVM's no-reference video quality assessment model under the Internet of things
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Source ：

RECENT DEVELOPMENTS IN INTELLIGENT SYSTEMS AND INTERACTIVE APPLICATIONS (IISA2016)

ISSN： 2194-5357

Year： 2017

Volume： 541

Page： 403-410

Language： English

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count： 1

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 1

Affiliated Colleges：

信息学部软件学院

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