Feasibility study of stochastic streaming with 4K UHD video traces

Joongheon Kim; Eun Seok Ryu

doi:10.1109/ICTC.2015.7354813

Feasibility study of stochastic streaming with 4K UHD video traces

Joongheon Kim, Eun Seok Ryu

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

8 Scopus citations

Abstract

This paper performs the feasibility study of stochastic video streaming algorithms with up-to-date 4K ultra-high-definition (UHD) video traces. In previous work, various stochastic video streaming algorithms were proposed which maximize time-average video streaming quality subject to queue stability based on the information of queue-backlog length. The performance improvements with the stochastic video streaming algorithms were verified with traditional MPEG test sequences; but there is no study how much the proposed stochastic algorithm is better when we consider up-to-date 4K UHD video traces. Therefore, this paper evaluates the stochastic streaming algorithms with 4K UHD video traces; and verifies that the stochastic algorithms perform better than queue-independent algorithms, as desired.

Original language	English
Title of host publication	International Conference on ICT Convergence 2015
Subtitle of host publication	Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1350-1355
Number of pages	6
ISBN (Electronic)	9781467371155
DOIs	https://doi.org/10.1109/ICTC.2015.7354813
State	Published - 11 Dec 2015
Externally published	Yes
Event	6th International Conference on Information and Communication Technology Convergence, ICTC 2015 - Jeju Island, Korea, Republic of Duration: 28 Oct 2015 → 30 Oct 2015

Publication series

Name	International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015

Conference

Conference	6th International Conference on Information and Communication Technology Convergence, ICTC 2015
Country/Territory	Korea, Republic of
City	Jeju Island
Period	28/10/15 → 30/10/15

Keywords

4K ultra-high-definition (UHD) video
Feasibility study
Performance evaluation
Stochastic streaming

Access to Document

10.1109/ICTC.2015.7354813

Cite this

Kim, J., & Ryu, E. S. (2015). Feasibility study of stochastic streaming with 4K UHD video traces. In International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015 (pp. 1350-1355). Article 7354813 (International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICTC.2015.7354813

Kim, Joongheon ; Ryu, Eun Seok. / Feasibility study of stochastic streaming with 4K UHD video traces. International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1350-1355 (International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015).

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title = "Feasibility study of stochastic streaming with 4K UHD video traces",

abstract = "This paper performs the feasibility study of stochastic video streaming algorithms with up-to-date 4K ultra-high-definition (UHD) video traces. In previous work, various stochastic video streaming algorithms were proposed which maximize time-average video streaming quality subject to queue stability based on the information of queue-backlog length. The performance improvements with the stochastic video streaming algorithms were verified with traditional MPEG test sequences; but there is no study how much the proposed stochastic algorithm is better when we consider up-to-date 4K UHD video traces. Therefore, this paper evaluates the stochastic streaming algorithms with 4K UHD video traces; and verifies that the stochastic algorithms perform better than queue-independent algorithms, as desired.",

keywords = "4K ultra-high-definition (UHD) video, Feasibility study, Performance evaluation, Stochastic streaming",

author = "Joongheon Kim and Ryu, \{Eun Seok\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 6th International Conference on Information and Communication Technology Convergence, ICTC 2015 ; Conference date: 28-10-2015 Through 30-10-2015",

year = "2015",

month = dec,

day = "11",

doi = "10.1109/ICTC.2015.7354813",

language = "English",

series = "International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015",

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Kim, J & Ryu, ES 2015, Feasibility study of stochastic streaming with 4K UHD video traces. in International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015., 7354813, International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 1350-1355, 6th International Conference on Information and Communication Technology Convergence, ICTC 2015, Jeju Island, Korea, Republic of, 28/10/15. https://doi.org/10.1109/ICTC.2015.7354813

Feasibility study of stochastic streaming with 4K UHD video traces. / Kim, Joongheon; Ryu, Eun Seok.
International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1350-1355 7354813 (International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015).

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

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AB - This paper performs the feasibility study of stochastic video streaming algorithms with up-to-date 4K ultra-high-definition (UHD) video traces. In previous work, various stochastic video streaming algorithms were proposed which maximize time-average video streaming quality subject to queue stability based on the information of queue-backlog length. The performance improvements with the stochastic video streaming algorithms were verified with traditional MPEG test sequences; but there is no study how much the proposed stochastic algorithm is better when we consider up-to-date 4K UHD video traces. Therefore, this paper evaluates the stochastic streaming algorithms with 4K UHD video traces; and verifies that the stochastic algorithms perform better than queue-independent algorithms, as desired.

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Kim J, Ryu ES. Feasibility study of stochastic streaming with 4K UHD video traces. In International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1350-1355. 7354813. (International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015). doi: 10.1109/ICTC.2015.7354813

Feasibility study of stochastic streaming with 4K UHD video traces

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