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On Predicting Video Quality Expectations of Mobile Users

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Standard

On Predicting Video Quality Expectations of Mobile Users. / Hosek, Jiri; Kovac, Dominik; Uhlir, Dalibor; Galinina, Olga; Andreev, Sergey; Koucheryavy, Yevgeni; Ries, Michal.

2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE, 2015. s. 110-115.

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Harvard

Hosek, J, Kovac, D, Uhlir, D, Galinina, O, Andreev, S, Koucheryavy, Y & Ries, M 2015, On Predicting Video Quality Expectations of Mobile Users. julkaisussa 2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE, Sivut 110-115, INTERNATIONAL CONGRESS ON ULTRA MODERN TELECOMMUNICATIONS AND CONTROL SYSTEMS, 1/01/00. https://doi.org/10.1109/ICUMT.2015.7382414

APA

Hosek, J., Kovac, D., Uhlir, D., Galinina, O., Andreev, S., Koucheryavy, Y., & Ries, M. (2015). On Predicting Video Quality Expectations of Mobile Users. teoksessa 2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) (Sivut 110-115). IEEE. https://doi.org/10.1109/ICUMT.2015.7382414

Vancouver

Hosek J, Kovac D, Uhlir D, Galinina O, Andreev S, Koucheryavy Y et al. On Predicting Video Quality Expectations of Mobile Users. julkaisussa 2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE. 2015. s. 110-115 https://doi.org/10.1109/ICUMT.2015.7382414

Author

Hosek, Jiri ; Kovac, Dominik ; Uhlir, Dalibor ; Galinina, Olga ; Andreev, Sergey ; Koucheryavy, Yevgeni ; Ries, Michal. / On Predicting Video Quality Expectations of Mobile Users. 2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE, 2015. Sivut 110-115

Bibtex - Lataa

@inproceedings{694218985f2f4c4b9e7422bd6dfff1a4,
title = "On Predicting Video Quality Expectations of Mobile Users",
abstract = "Mobile network operators are currently seeking for simple but accurate methods to predict the levels of satisfaction for their customers using the on-line multimedia applications, such as YouTube. Even though the ultimate user demands are known to be influenced by multiple factors, there is one clear trend - people require an increasingly higher quality of mobile video services. To this end, modeling the corresponding quality of experience (QoE) constitutes a non-trivial task and calls for a careful balance between the key underlying aspects, while maintaining the overall complexity as low as possible. This should in turn deliver the much needed usability of the resulting model across many real-world scenarios, and in this work we develop a novel QoE prediction model based on our extensive user experience investigation of the YouTube service. Our proposed solution allows network operators to estimate the degrees of video quality and thus predict the associated mobile user expectations in their deployments. The design principles behind our methodology, its accuracy evaluation, as well as the obtained numerical results are reported in the course of this paper.",
author = "Jiri Hosek and Dominik Kovac and Dalibor Uhlir and Olga Galinina and Sergey Andreev and Yevgeni Koucheryavy and Michal Ries",
year = "2015",
doi = "10.1109/ICUMT.2015.7382414",
language = "English",
isbn = "978-1-4673-9282-2",
pages = "110--115",
booktitle = "2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - On Predicting Video Quality Expectations of Mobile Users

AU - Hosek, Jiri

AU - Kovac, Dominik

AU - Uhlir, Dalibor

AU - Galinina, Olga

AU - Andreev, Sergey

AU - Koucheryavy, Yevgeni

AU - Ries, Michal

PY - 2015

Y1 - 2015

N2 - Mobile network operators are currently seeking for simple but accurate methods to predict the levels of satisfaction for their customers using the on-line multimedia applications, such as YouTube. Even though the ultimate user demands are known to be influenced by multiple factors, there is one clear trend - people require an increasingly higher quality of mobile video services. To this end, modeling the corresponding quality of experience (QoE) constitutes a non-trivial task and calls for a careful balance between the key underlying aspects, while maintaining the overall complexity as low as possible. This should in turn deliver the much needed usability of the resulting model across many real-world scenarios, and in this work we develop a novel QoE prediction model based on our extensive user experience investigation of the YouTube service. Our proposed solution allows network operators to estimate the degrees of video quality and thus predict the associated mobile user expectations in their deployments. The design principles behind our methodology, its accuracy evaluation, as well as the obtained numerical results are reported in the course of this paper.

AB - Mobile network operators are currently seeking for simple but accurate methods to predict the levels of satisfaction for their customers using the on-line multimedia applications, such as YouTube. Even though the ultimate user demands are known to be influenced by multiple factors, there is one clear trend - people require an increasingly higher quality of mobile video services. To this end, modeling the corresponding quality of experience (QoE) constitutes a non-trivial task and calls for a careful balance between the key underlying aspects, while maintaining the overall complexity as low as possible. This should in turn deliver the much needed usability of the resulting model across many real-world scenarios, and in this work we develop a novel QoE prediction model based on our extensive user experience investigation of the YouTube service. Our proposed solution allows network operators to estimate the degrees of video quality and thus predict the associated mobile user expectations in their deployments. The design principles behind our methodology, its accuracy evaluation, as well as the obtained numerical results are reported in the course of this paper.

U2 - 10.1109/ICUMT.2015.7382414

DO - 10.1109/ICUMT.2015.7382414

M3 - Conference contribution

SN - 978-1-4673-9282-2

SP - 110

EP - 115

BT - 2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

PB - IEEE

ER -