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Martín Gutiérrez, Virginia and Cabrera Quesada, Julian and García Santos, Narciso (2015). Q-Learning based control algorithm for HTTP adaptive streaming. In: "Visual Communications and Image Processing (VCIP 2015)", 13/12/2015 - 16/12/2015, Singapore. pp. 1-4. https://doi.org/10.1109/VCIP.2015.7457906.
Title: | Q-Learning based control algorithm for HTTP adaptive streaming |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | Visual Communications and Image Processing (VCIP 2015) |
Event Dates: | 13/12/2015 - 16/12/2015 |
Event Location: | Singapore |
Title of Book: | Visual Communications and Image Processing (VCIP 2015) |
Date: | 2015 |
Subjects: | |
Freetext Keywords: | HTTP Adaptive Streaming, reinforcement learning, state, reward, policy, adaptation, Quality of Experience |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Señales, Sistemas y Radiocomunicaciones |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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We present a control algorithm based on Q-Learning for an HTTP Adaptive Streaming (HAS) Client in order to optimize the Quality of Experience (QoE) of the user. First, we propose a model with a suitable number of variables in an attempt to find a reasonable tradeoff between the complexity of the model and its capacity to capture appropriately the dynamics of the system. Second, we define a novel reward function that takes into consideration factors related to the user's QoE. Results will show, that our Q-learning algorithm is able to learn and efficiently control the selection of the segment qualities. In addition, we will show that our proposed approach outperforms another Q-learning approach.
Type | Code | Acronym | Leader | Title |
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Government of Spain | TEC2013-48453 | MR-UHDTV | Ministerio de Economía y Competitividad | Unspecified |
Government of Spain | ITEA2-11012 | ICARE | Ministerio de Economía y Competitividad | Unspecified |
Government of Spain | IPT-2012-0306-430000 | Videocells | Ministerio de Economía y Competitividad | Unspecified |
Item ID: | 42757 |
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DC Identifier: | http://oa.upm.es/42757/ |
OAI Identifier: | oai:oa.upm.es:42757 |
DOI: | 10.1109/VCIP.2015.7457906 |
Deposited by: | Memoria Investigacion |
Deposited on: | 16 Jul 2016 09:46 |
Last Modified: | 16 Jul 2016 09:46 |