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Feasibility study of stochastic streaming with 4K UHD video traces
- Authors
- Kim, J.; Ryu, E.-S.
- Issue Date
- 2015
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- 4K ultra-high-definition (UHD) video; Feasibility study; Performance evaluation; Stochastic streaming
- Citation
- International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015, pp.1350 - 1355
- Journal Title
- International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015
- Start Page
- 1350
- End Page
- 1355
- ISSN
- 0000-0000
- 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.
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