2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX)最新文献_第6页

On user-centric analysis and prediction of QoE for video streaming using empirical measurements 以用户为中心的视频流QoE的实证分析与预测

2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2016-06-06 DOI: 10.1109/QoMEX.2016.7498962

Maria Plakia, Michalis Katsarakis, Paulos Charonyktakis, M. Papadopouli, Ioannis Markopoulos

{"title":"On user-centric analysis and prediction of QoE for video streaming using empirical measurements","authors":"Maria Plakia, Michalis Katsarakis, Paulos Charonyktakis, M. Papadopouli, Ioannis Markopoulos","doi":"10.1109/QoMEX.2016.7498962","DOIUrl":"https://doi.org/10.1109/QoMEX.2016.7498962","url":null,"abstract":"Assessing the impact of different network conditions on user experience is important for improving the telecommunication services. We have developed a modular framework that includes monitoring and data collection tools and algorithms for user-centric analysis and prediction of the QoE in video streaming. The MLQoE employs several machine learning (ML) algorithms and tunes their hyper-parameters. It dynamically selects the ML algorithm that exhibits the best performance and its parameters automatically based on the input (e.g., network and systems metrics). We applied the MLQoE for predicting the QoE of the video streaming service in the context of two field studies, one performed in the production environment of a large telecom operator and the other at our Institute. The analysis indicated the parameters with the dominant impact on the perceived QoE and revealed that the QoE vary across users. This motivates the use of customized adaptation mechanisms in video streaming under network performance degradation. The MLQoE results in fairly accurate predictions e.g., a median error in predicting the QoE of 0.0991 and 0.5517 in the first (second) field study, respectively, on the MOS scale.","PeriodicalId":6645,"journal":{"name":"2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX)","volume":"112 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87630017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

QoE-aware service delivery: A joint-venture approach for content and network providers 面向qos的服务交付:内容和网络提供商的合资方法

2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2016-06-06 DOI: 10.1109/QoMEX.2016.7498972

Arslan Ahmad, Alessandro Floris, L. Atzori

引用次数: 15

Relationship between hedonic preference and audio quality in tests of music production quality 音乐制作质量测试中享乐偏好与音质的关系

2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2016-06-06 DOI: 10.1109/QoMEX.2016.7498937

A. Wilson, B. Fazenda

引用次数: 6

Analysis and QoE evaluation of cloud gaming service adaptation under different network conditions: The case of NVIDIA GeForce NOW 不同网络条件下云游戏服务适配分析及QoE评价——以NVIDIA GeForce NOW为例

2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2016-06-06 DOI: 10.1109/QoMEX.2016.7498968

M. Sužnjević, Iva Slivar, Lea Skorin-Kapov

引用次数: 26

1Mbps is enough: Video quality and individual idiosyncrasies in multiparty HD video-conferencing 1Mbps就足够了:多方高清视频会议的视频质量和个人特性

2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2016-06-01 DOI: 10.1109/QoMEX.2016.7498961

Marwin Schmitt, J. Redi, Pablo César, D. Bulterman

{"title":"1Mbps is enough: Video quality and individual idiosyncrasies in multiparty HD video-conferencing","authors":"Marwin Schmitt, J. Redi, Pablo César, D. Bulterman","doi":"10.1109/QoMEX.2016.7498961","DOIUrl":"https://doi.org/10.1109/QoMEX.2016.7498961","url":null,"abstract":"Most video platforms deliver HD video in high bitrate encoding. Modern video-conferencing systems are capable of handling HD streams, but using multiparty conferencing, average internet connections in the home are on their bandwidth limit. For properly managing the encoding bitrate in videoconferencing, we must know what is the minimum bitrate requirement to provide users an acceptable experience, and what is the bitrate level after which QoE saturates?. Most available subjective studies in this area used rather dated technologies. We report on a multiparty study on video quality with HD resolution. We tested different encoding bitrates (256kbs, 1024kbs and 4096kbs) and packet loss rates (0, 0.5%) in groups of 4 participants with a scenario based on the ITU building blocks task. We discuss the influence of group interaction and individual idiosyncrasies based on different mixed models, and look at covariates engagement and enjoyment as further explanatory factors. We found that 256kbs is still sufficient to provide a fair overall experience, but video quality is noticed to be poor. On the higher bitrate end, most people will not perceive the difference between 1024kbs and 4096kbs, considering in both cases the quality to be close to excellent. Independent on bitrate, packet loss has a small but significant impact, quantifiable in, on average, less than half a point difference on a 5-point ITU scale.","PeriodicalId":6645,"journal":{"name":"2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX)","volume":"6 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88236273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 17

Understanding how image quality affects deep neural networks 了解图像质量如何影响深度神经网络

2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2016-04-14 DOI: 10.1109/QoMEX.2016.7498955

Samuel F. Dodge, Lina Karam

引用次数: 619