Comparison of objective quality models for adaptive bit-streaming services

C. Lee; S. Woo; S. Baek; J. Han; J. Chae; J. Rim

doi:10.1109/IISA.2017.8316385

Comparison of objective quality models for adaptive bit-streaming services

C. Lee, S. Woo, S. Baek, J. Han, J. Chae, J. Rim

Department of Electrical and Electronic Engineering

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

15 Citations (Scopus)

Abstract

As adaptive bit-streaming services are increasingly available, there is a greater need to monitor the perceptual quality of video services of networks. A number of objective video/image quality measurement methods have been proposed. In this paper, we performed several subjective tests using UHD signals that are reduced to various resolutions. Then, we applied several objective video/image quality measurement models to investigate the applicability of such models to monitor the perceptual quality of adaptive bit-stream services.

Original language	English
Title of host publication	2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781538637319
DOIs	https://doi.org/10.1109/IISA.2017.8316385
Publication status	Published - 2018 Mar 14
Event	8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017 - Larnaca, Cyprus Duration: 2017 Aug 27 → 2017 Aug 30

Publication series

Name	2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017
Volume	2018-January

Conference

Conference	8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017
Country/Territory	Cyprus
City	Larnaca
Period	17/8/27 → 17/8/30

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Hardware and Architecture
Information Systems
Software
Safety, Risk, Reliability and Quality
Social Sciences (miscellaneous)

Access to Document

10.1109/IISA.2017.8316385

Cite this

Lee, C., Woo, S., Baek, S., Han, J., Chae, J., & Rim, J. (2018). Comparison of objective quality models for adaptive bit-streaming services. In 2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017 (pp. 1-4). (2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IISA.2017.8316385

Lee, C. ; Woo, S. ; Baek, S. et al. / Comparison of objective quality models for adaptive bit-streaming services. 2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-4 (2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017).

@inproceedings{b8ef0ffaf4904404adf87ba1e7dcf9f8,

title = "Comparison of objective quality models for adaptive bit-streaming services",

abstract = "As adaptive bit-streaming services are increasingly available, there is a greater need to monitor the perceptual quality of video services of networks. A number of objective video/image quality measurement methods have been proposed. In this paper, we performed several subjective tests using UHD signals that are reduced to various resolutions. Then, we applied several objective video/image quality measurement models to investigate the applicability of such models to monitor the perceptual quality of adaptive bit-stream services.",

author = "C. Lee and S. Woo and S. Baek and J. Han and J. Chae and J. Rim",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017 ; Conference date: 27-08-2017 Through 30-08-2017",

year = "2018",

month = mar,

day = "14",

doi = "10.1109/IISA.2017.8316385",

language = "English",

series = "2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--4",

booktitle = "2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017",

address = "United States",

}

Lee, C, Woo, S, Baek, S, Han, J, Chae, J & Rim, J 2018, Comparison of objective quality models for adaptive bit-streaming services. in 2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017. 2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017, Larnaca, Cyprus, 17/8/27. https://doi.org/10.1109/IISA.2017.8316385

Comparison of objective quality models for adaptive bit-streaming services. / Lee, C.; Woo, S.; Baek, S. et al.

2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4 (2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017; Vol. 2018-January).

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

TY - GEN

T1 - Comparison of objective quality models for adaptive bit-streaming services

AU - Lee, C.

AU - Woo, S.

AU - Baek, S.

AU - Han, J.

AU - Chae, J.

AU - Rim, J.

PY - 2018/3/14

Y1 - 2018/3/14

N2 - As adaptive bit-streaming services are increasingly available, there is a greater need to monitor the perceptual quality of video services of networks. A number of objective video/image quality measurement methods have been proposed. In this paper, we performed several subjective tests using UHD signals that are reduced to various resolutions. Then, we applied several objective video/image quality measurement models to investigate the applicability of such models to monitor the perceptual quality of adaptive bit-stream services.

AB - As adaptive bit-streaming services are increasingly available, there is a greater need to monitor the perceptual quality of video services of networks. A number of objective video/image quality measurement methods have been proposed. In this paper, we performed several subjective tests using UHD signals that are reduced to various resolutions. Then, we applied several objective video/image quality measurement models to investigate the applicability of such models to monitor the perceptual quality of adaptive bit-stream services.

UR - http://www.scopus.com/inward/record.url?scp=85047893087&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85047893087&partnerID=8YFLogxK

U2 - 10.1109/IISA.2017.8316385

DO - 10.1109/IISA.2017.8316385

M3 - Conference contribution

AN - SCOPUS:85047893087

T3 - 2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017

SP - 1

EP - 4

BT - 2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017

Y2 - 27 August 2017 through 30 August 2017

ER -

Lee C, Woo S, Baek S, Han J, Chae J, Rim J. Comparison of objective quality models for adaptive bit-streaming services. In 2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-4. (2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017). doi: 10.1109/IISA.2017.8316385

Comparison of objective quality models for adaptive bit-streaming services

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this