Feasibility study of stochastic streaming with 4K UHD video traces
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, J. | - |
dc.contributor.author | Ryu, E.-S. | - |
dc.date.available | 2020-02-28T11:41:32Z | - |
dc.date.created | 2020-02-12 | - |
dc.date.issued | 2015 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/11068 | - |
dc.description.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. © 2015 IEEE. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.relation.isPartOf | International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015 | - |
dc.subject | Algorithms | - |
dc.subject | Motion Picture Experts Group standards | - |
dc.subject | Planning | - |
dc.subject | Queueing theory | - |
dc.subject | Video streaming | - |
dc.subject | Feasibility studies | - |
dc.subject | Performance evaluation | - |
dc.subject | Queue stability | - |
dc.subject | Stochastic algorithms | - |
dc.subject | Streaming algorithm | - |
dc.subject | Test sequence | - |
dc.subject | Time averages | - |
dc.subject | Ultra high definition (UHD) | - |
dc.subject | Stochastic systems | - |
dc.title | Feasibility study of stochastic streaming with 4K UHD video traces | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.doi | 10.1109/ICTC.2015.7354813 | - |
dc.identifier.bibliographicCitation | International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015, pp.1350 - 1355 | - |
dc.identifier.scopusid | 2-s2.0-84964890023 | - |
dc.citation.endPage | 1355 | - |
dc.citation.startPage | 1350 | - |
dc.citation.title | International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015 | - |
dc.contributor.affiliatedAuthor | Ryu, E.-S. | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordAuthor | 4K ultra-high-definition (UHD) video | - |
dc.subject.keywordAuthor | Feasibility study | - |
dc.subject.keywordAuthor | Performance evaluation | - |
dc.subject.keywordAuthor | Stochastic streaming | - |
dc.subject.keywordPlus | Algorithms | - |
dc.subject.keywordPlus | Motion Picture Experts Group standards | - |
dc.subject.keywordPlus | Planning | - |
dc.subject.keywordPlus | Queueing theory | - |
dc.subject.keywordPlus | Video streaming | - |
dc.subject.keywordPlus | Feasibility studies | - |
dc.subject.keywordPlus | Performance evaluation | - |
dc.subject.keywordPlus | Queue stability | - |
dc.subject.keywordPlus | Stochastic algorithms | - |
dc.subject.keywordPlus | Streaming algorithm | - |
dc.subject.keywordPlus | Test sequence | - |
dc.subject.keywordPlus | Time averages | - |
dc.subject.keywordPlus | Ultra high definition (UHD) | - |
dc.subject.keywordPlus | Stochastic systems | - |
dc.description.journalRegisteredClass | scopus | - |
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