2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)最新文献_第7页

Spatiotemporal Feature Combination Model for No-Reference Video Quality Assessment 无参考视频质量评价的时空特征组合模型

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/QoMEX.2018.8463426

H. Men, Hanhe Lin, D. Saupe

引用次数: 26

Subjective quality assessment of textured human full-body 3D-reconstructions 纹理人体三维重建的主观质量评价

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/qomex.2018.8463385

Alexandros Doumanoglou, N. Zioulis, Emmanouil Christakis, D. Zarpalas, P. Daras

{"title":"Subjective quality assessment of textured human full-body 3D-reconstructions","authors":"Alexandros Doumanoglou, N. Zioulis, Emmanouil Christakis, D. Zarpalas, P. Daras","doi":"10.1109/qomex.2018.8463385","DOIUrl":"https://doi.org/10.1109/qomex.2018.8463385","url":null,"abstract":"Geometry and texture resolution are two common system parameters of any modern volumetric 3D reconstruction pipeline. In tele-immersive applications, besides their apparent impact on the visual quality of the output 3D mesh, their absolute values implicitly influence the computational load of the whole tele-immersion pipeline from acquisition to 3D reconstruction, compression and transmission. Thus, tuning those parameters to an optimal combination has evident benefits. In this paper, we conduct a subjective experiment to assess the visual quality of textured human 3D-reconstructed meshes that are produced by a volumetric 3D reconstruction algorithm as a joint function of the geometry and texture resolution production parameters. The experiment is based on the forced choice pairwise comparison methodology on pre-rendered views of the real-time reconstructed meshes within the context of human performance capture. We analyze the pairwise comparison data and establish a ranking of the parameter space and, thus also, a mapping from the parameters to the subjective visual quality. The results of this study may be utilized to tune the parameters of the real-time 3D reconstruction pipeline, optimizing for the best balance between visual quality, bandwidth and overall performance.","PeriodicalId":6618,"journal":{"name":"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)","volume":"37 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88182903","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: 5

New ITU-T Standards for Gaming QoE Evaluation and Management 新的ITU-T游戏QoE评估和管理标准

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/QoMEX.2018.8463404

S. Möller, Steven Schmidt, Saman Zadtootaghaj

引用次数: 21

YouTube QoE Estimation from Encrypted Traffic: Comparison of Test Methodologies and Machine Learning Based Models 来自加密流量的YouTube QoE估计:测试方法和基于机器学习的模型的比较

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/QoMEX.2018.8463379

Irena Orsolic, M. Sužnjević, Lea Skorin-Kapov

{"title":"YouTube QoE Estimation from Encrypted Traffic: Comparison of Test Methodologies and Machine Learning Based Models","authors":"Irena Orsolic, M. Sužnjević, Lea Skorin-Kapov","doi":"10.1109/QoMEX.2018.8463379","DOIUrl":"https://doi.org/10.1109/QoMEX.2018.8463379","url":null,"abstract":"Over the last few years, different client-side QoE monitoring apps have been developed that benchmark the performance of popular video streaming services. Such tools also provide the means for collecting ground truth data when developing models to estimate or classify QoE and various KPls from encrypted network traffic. We present a client-side YouTube QoE monitoring tool named ViQMon, which extracts YouTube performance data from the official app's Stats for Nerds window, and is applicable on various devices and platforms (Android, iOS). We compare ViQMon to approaches relying on YouTube's APls, and show relevant differences in buffering and application behavior in cases when videos are embedded and when videos are played in the official YouTube app. We further use ViQMon together with the collection of network measurements in both a laboratory and commercial mobile network to collect a large dataset of almost 500 YouTube videos streamed under different network conditions. The dataset is used to build machine learning based models for estimating QoE and various application-layer KPls solely from IP-level network traffic features. As such, the approach is applicable in the context of both TLS and QUIC traffic. The paper further compares and analyses the performance of the built models.","PeriodicalId":6618,"journal":{"name":"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)","volume":"15 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84739608","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: 18

A Just Noticeable Difference Subjective Test for High Dynamic Range Images 高动态范围图像的显着差异主观测试

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/QoMEX.2018.8463429

Ayyoub Ahar, Saeed Mahmoudpour, G. Wallendael, Tom Paridaens, P. Lambert, P. Schelkens

{"title":"A Just Noticeable Difference Subjective Test for High Dynamic Range Images","authors":"Ayyoub Ahar, Saeed Mahmoudpour, G. Wallendael, Tom Paridaens, P. Lambert, P. Schelkens","doi":"10.1109/QoMEX.2018.8463429","DOIUrl":"https://doi.org/10.1109/QoMEX.2018.8463429","url":null,"abstract":"High Dynamic Range (HDR) imaging captures a wide range of luminance existing in real-world scenes. Due to large luminance levels and higher brightness of HDR displays, artefacts can be more noticeable to the Human Visual System (HVS). In a first attempt to experimentally quantify those noticeable levels for HDR images, we pioneered in conducting an exhaustive and comprehensive Just Noticeable Difference (JND) subjective experiment of which the outcome is presented in this paper. Six distortions including JPEG, JPEG2000, noise, blur, contrast change, and quantization artefacts have been considered in the test. The distortions were applied to 10 HDR images in 100 distortion levels resulting a database of 6000 HDR test images. The subjects were asked to find the image JND location on each set of 100 images they had the freedom to explore. The effect of content features on the noticeable threshold selection is investigated per distortion type. Our results in some cases show a significant correlation between content features and JNDs. We are hoping that our results can contribute to further exploitation of a precise HVS model for HDR quality assessment and optimization of the coding and bit allocation in HDR compression.","PeriodicalId":6618,"journal":{"name":"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)","volume":"27 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82488738","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: 1

Quantifying Quality Degradation of the EVS Super-Wideband Speech Codec EVS超宽带语音编解码器的质量退化量化

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/QoMEX.2018.8463425

Gabriel Mittag, S. Möller, Vincent Barriac, Stephane Ragor

引用次数: 9

Exploring the Interplay of Context and Interaction in the Field 探索情境与现场互动的相互作用

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/QoMEX.2018.8463361

Svenja Schröder, Jakob Hirschl, P. Reichl

引用次数: 1

Evaluation of the Benefits of Variable Segment Durations for Adaptive Streaming 自适应流中可变分段持续时间的效益评估

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/QoMEX.2018.8463435

Susanna Schwarzmann, T. Zinner, Stefan Geissler, Christian Sieber

引用次数: 7

Influence of Number of Stimuli for Subjective Speech Quality Assessment in Crowdsourcing 刺激数对众包中主观语音质量评价的影响

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/QoMEX.2018.8463298

Rafael Zequeira Jiménez, Laura Fernández Gallardo, S. Möller

{"title":"Influence of Number of Stimuli for Subjective Speech Quality Assessment in Crowdsourcing","authors":"Rafael Zequeira Jiménez, Laura Fernández Gallardo, S. Möller","doi":"10.1109/QoMEX.2018.8463298","DOIUrl":"https://doi.org/10.1109/QoMEX.2018.8463298","url":null,"abstract":"Nowadays, crowdsourcing provides an exceptional opportunity for conducting subjective user tests on the Internet with a demographically diverse audience. Previous work has pointed out that the offered tasks should be kept short in time, therefore, participants evaluate at once just a portion of the dataset. Aspects like users' workload and fatigue are important as they relate to a main question: how to optimize study design without compromising results quality by tiring the test participants? This work investigates the influence of the number of presented speech stimuli on the reliability of listeners' ratings in the context of subjective speech quality assessment. A crowdsourcing study have been conducted with 209 listeners that were asked to rate speech stimuli with respect to their overall quality. Participants were randomly assigned to one of three user groups, each of which was confronted with tasks consisting of a different number of stimuli: 10, 20, or 40. The results from the three groups are highly correlated to existing laboratory ratings, the group with the largest number of samples offering the highest correlation. However, participant retention decreased while the study completion time increased. Thus, it might be desirable to offer tasks with less speech stimuli sacrificing ratings' accuracy to some extent.","PeriodicalId":6618,"journal":{"name":"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)","volume":"14 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88844773","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: 18

Direct Scaling & Quality Prediction for perceptual Video Quality Dimensions 感知视频质量维度的直接缩放和质量预测

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/QoMEX.2018.8463431

F. Schiffner, S. Möller

引用次数: 6