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231224s2014 xx |||||o 00| ||eng c |
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7 |
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|a 10.1109/TIP.2014.2312613
|2 doi
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|a pubmed24n0791.xml
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|a DE-627
|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Chen, Chao
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Modeling the time--varying subjective quality of HTTP video streams with rate adaptations
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|c 2014
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 30.03.2015
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| 500 |
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|a Date Revised 11.04.2014
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| 500 |
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a Newly developed hypertext transfer protocol (HTTP)-based video streaming technologies enable flexible rate-adaptation under varying channel conditions. Accurately predicting the users' quality of experience (QoE) for rate-adaptive HTTP video streams is thus critical to achieve efficiency. An important aspect of understanding and modeling QoE is predicting the up-to-the-moment subjective quality of a video as it is played, which is difficult due to hysteresis effects and nonlinearities in human behavioral responses. This paper presents a Hammerstein-Wiener model for predicting the time-varying subjective quality (TVSQ) of rate-adaptive videos. To collect data for model parameterization and validation, a database of longer duration videos with time-varying distortions was built and the TVSQs of the videos were measured in a large-scale subjective study. The proposed method is able to reliably predict the TVSQ of rate adaptive videos. Since the Hammerstein-Wiener model has a very simple structure, the proposed method is suitable for online TVSQ prediction in HTTP-based streaming
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| 650 |
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|a Journal Article
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| 650 |
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4 |
|a Research Support, Non-U.S. Gov't
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| 700 |
1 |
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|a Choi, Lark Kwon
|e verfasserin
|4 aut
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| 700 |
1 |
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|a de Veciana, Gustavo
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Caramanis, Constantine
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Heath, Robert W
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Bovik, Alan C
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 23(2014), 5 vom: 05. Mai, Seite 2206-21
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
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| 773 |
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|g volume:23
|g year:2014
|g number:5
|g day:05
|g month:05
|g pages:2206-21
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| 856 |
4 |
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|u http://dx.doi.org/10.1109/TIP.2014.2312613
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