• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Zhao, Tiesong (Zhao, Tiesong.) [1] | Liu, Qian (Liu, Qian.) [2] | Chen, Chang Wen (Chen, Chang Wen.) [3]

Indexed by:

EI

Abstract:

The increasing popularity of video (i.e., audio-visual) applications or services over both wired and wireless links has prompted recent growing interests in the investigations of quality of experience (QoE) in online video transmission. Conventional video quality metrics, such as peak-signal-to-noise-ratio and quality of service, only focus on the reception quality from the systematic perspective. As a result, they cannot represent the true visual experience of an individual user. Instead, the QoE introduces a user experience-driven strategy which puts special emphasis on the contextual and human factors in addition to the transmission system. This advantage has raised the popularity and widespread usage of QoE in video transmission. In this paper, we present an overview of selected issues pertaining to QoE and its recent applications in video transmission, with consideration of the compelling features of QoE (i.e., context and human factors). The selected issues include QoE modeling with influence factors in the end-to-end chain of video transmission, QoE assessment (including subjective test and objective QoE monitoring) and QoE management of video transmission over different types of networks. Through the literature review, we observe that the context and human factors in QoE-aware video transmission have attracted significant attentions since the past two to three years. A vast number of high quality works were published in this area, and will be highlighted in this survey. In addition to a thorough summary of recent progresses, we also present an outlook of future developments on QoE assessment and management in video transmission, especially focusing on the context and human factors that have not been addressed yet and the technical challenges that have not been completely solved so far. We believe that our overview and findings can provide a timely perspective on the related issues and the future research directions in QoE-oriented services over video communications. © 2016 IEEE.

Keyword:

HTTP Human engineering Hypertext systems Image coding Image communication systems IPTV Quality of service Signal to noise ratio Stereo image processing Television broadcasting

Community:

  • [ 1 ] [Zhao, Tiesong]Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo; NY; 14260, United States
  • [ 2 ] [Zhao, Tiesong]College of Physics and Information Engineering, Fuzhou University, Fujian; 350116, China
  • [ 3 ] [Liu, Qian]Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo; NY; 14260, United States
  • [ 4 ] [Liu, Qian]Department of Computer Science and Technology, Dalian University of Technology, Liaoning; 116024, China
  • [ 5 ] [Chen, Chang Wen]Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo; NY; 14260, United States

Reprint 's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

IEEE Communications Surveys and Tutorials

Year: 2017

Issue: 1

Volume: 19

Page: 285-302

2 0 . 2 3

JCR@2017

3 4 . 4 0 0

JCR@2023

ESI HC Threshold:187

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

Affiliated Colleges:

Online/Total:95/10016950
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1