國立虎尾科技大學 |

Adaptive Video Transmission over Wireless Channels with Optimized Quality of Experiences.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Adaptive Video Transmission over Wireless Channels with Optimized Quality of Experiences./
作者:	Chen, Chao.
面頁冊數:	1 online resource (193 pages)
附註:	Source: Dissertation Abstracts International, Volume: 76-08(E), Section: B.
標題:	Electrical engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9781321620375

Adaptive Video Transmission over Wireless Channels with Optimized Quality of Experiences.
Chen, Chao.

Adaptive Video Transmission over Wireless Channels with Optimized Quality of Experiences. - 1 online resource (193 pages)

Source: Dissertation Abstracts International, Volume: 76-08(E), Section: B.

Thesis (Ph.D.)--The University of Texas at Austin, 2013.

Includes bibliographical references

Video traffic is growing rapidly in wireless networks. Different from ordinary data traffic, video streams have higher data rates and tighter delay constraints. The ever-varying throughput of wireless links, however, cannot support continuous video playback if the video data rate is kept at a high level. To this end, adaptive video transmission techniques are employed to reduce the risk of playback interruptions by dynamically matching the video data rate to the varying channel throughput. In this dissertation, I develop new models to capture viewers' quality of experience (QoE) and design adaptive transmission algorithms to optimize the QoE. The contributions of this dissertation are threefold.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781321620375Subjects--Topical Terms:

596380
Electrical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Adaptive Video Transmission over Wireless Channels with Optimized Quality of Experiences.
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245 1 0 $a Adaptive Video Transmission over Wireless Channels with Optimized Quality of Experiences.
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300 $a 1 online resource (193 pages)
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500 $a Source: Dissertation Abstracts International, Volume: 76-08(E), Section: B.
500 $a Advisers: Robert W. Heath, Jr.; Alan C. Bovik.
502 $a Thesis (Ph.D.)--The University of Texas at Austin, 2013.
504 $a Includes bibliographical references
520 $a Video traffic is growing rapidly in wireless networks. Different from ordinary data traffic, video streams have higher data rates and tighter delay constraints. The ever-varying throughput of wireless links, however, cannot support continuous video playback if the video data rate is kept at a high level. To this end, adaptive video transmission techniques are employed to reduce the risk of playback interruptions by dynamically matching the video data rate to the varying channel throughput. In this dissertation, I develop new models to capture viewers' quality of experience (QoE) and design adaptive transmission algorithms to optimize the QoE. The contributions of this dissertation are threefold.
520 $a First, I develop a new model for the viewers' QoE in rate-switching systems in which the video source rate is adapted every several seconds. The model is developed to predict an important aspect of QoE, the time-varying subjective quality (TVSQ), i.e., the up-to-the-moment subjective quality of a video as it is played. I first build a video database of rate-switching videos and measure TVSQs via a subjective study. Then, I parameterize and validate the TVSQ model using the measured TVSQs. Finally, based on the TVSQ model, I design an adaptive rate-switching algorithm that optimizes the time-averaged TVSQs of wireless video users.
520 $a Second, I propose an adaptive video transmission algorithm to optimize the Overall Quality (OQ) of rate-switching videos, i.e., the viewers' judgement on the quality of the whole video. Through the subjective study, I find that the OQ is strongly correlated with the empirical cumulative distribution function (eCDF) of the video quality perceived by viewers. Based on this observation, I develop an adaptive video transmission algorithm that maximizes the number of video users who satisfy given constraints on the eCDF of perceived video qualities.
520 $a Third, I propose an adaptive transmission algorithm for scalable videos. Different from the rate-switching systems, scalable videos support rate adaptation for each video frame. The proposed adaptive transmission algorithm maximizes the time-averaged video quality while maintaining continuous video playback. When the channel throughput is high, the algorithm increases the video data rate to improve video quality. Otherwise, the algorithm decreases the video data rate to buffer more videos and to reduce the risk of playback interruption. Simulation results show that the performance of the proposed algorithm is close to a performance upper bound.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Electrical engineering. $3 596380
650 4 $a Computer engineering. $3 569006
650 4 $a Computer science. $3 573171
650 4 $a Multimedia communications. $3 655342
655 7 $a Electronic books. $2 local $3 554714
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690 $a 0464
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690 $a 0558
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a The University of Texas at Austin. $3 1182055
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