Pub Date : 2018-05-01DOI: 10.1109/QoMEX.2018.8463426
H. Men, Hanhe Lin, D. Saupe
One of the main challenges in no-reference video quality assessment is temporal variation in a video. Methods typically were designed and tested on videos with artificial distortions, without considering spatial and temporal variations simultaneously. We propose a no-reference spatiotemporal feature combination model which extracts spatiotemporal information from a video, and tested it on a database with authentic distortions. Comparing with other methods, our model gave satisfying performance for assessing the quality of natural videos.
{"title":"Spatiotemporal Feature Combination Model for No-Reference Video Quality Assessment","authors":"H. Men, Hanhe Lin, D. Saupe","doi":"10.1109/QoMEX.2018.8463426","DOIUrl":"https://doi.org/10.1109/QoMEX.2018.8463426","url":null,"abstract":"One of the main challenges in no-reference video quality assessment is temporal variation in a video. Methods typically were designed and tested on videos with artificial distortions, without considering spatial and temporal variations simultaneously. We propose a no-reference spatiotemporal feature combination model which extracts spatiotemporal information from a video, and tested it on a database with authentic distortions. Comparing with other methods, our model gave satisfying performance for assessing the quality of natural videos.","PeriodicalId":6618,"journal":{"name":"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)","volume":"15 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74280415","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}
Pub Date : 2018-05-01DOI: 10.1109/QoMEX.2018.8463361
Svenja Schröder, Jakob Hirschl, P. Reichl
Today, an increasing amount of people take care of their everyday communication while being on the move. Here, mobile context potentially has a severe influence on the quality of interaction and the communication task at hand, for instance if the user has a high mental workload by monitoring the environment and is too distracted for the mobile task. For exploring the resulting interplay of context and interaction with the help of modern sensors on smartphones, this work presents CoCoNU $T$, a toolkit for measuring context and interaction metrics which has been developed to gain a deeper understanding of mobile interaction in the field. In addition, results of an initial study are presented and analyzed.
{"title":"Exploring the Interplay of Context and Interaction in the Field","authors":"Svenja Schröder, Jakob Hirschl, P. Reichl","doi":"10.1109/QoMEX.2018.8463361","DOIUrl":"https://doi.org/10.1109/QoMEX.2018.8463361","url":null,"abstract":"Today, an increasing amount of people take care of their everyday communication while being on the move. Here, mobile context potentially has a severe influence on the quality of interaction and the communication task at hand, for instance if the user has a high mental workload by monitoring the environment and is too distracted for the mobile task. For exploring the resulting interplay of context and interaction with the help of modern sensors on smartphones, this work presents CoCoNU $T$, a toolkit for measuring context and interaction metrics which has been developed to gain a deeper understanding of mobile interaction in the field. In addition, results of an initial study are presented and analyzed.","PeriodicalId":6618,"journal":{"name":"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)","volume":"68 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":"79688173","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}
Pub Date : 2018-05-01DOI: 10.1109/qomex.2018.8463385
Alexandros Doumanoglou, N. Zioulis, Emmanouil Christakis, D. Zarpalas, P. Daras
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.
{"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}
Pub Date : 2018-05-01DOI: 10.1109/QoMEX.2018.8463404
S. Möller, Steven Schmidt, Saman Zadtootaghaj
Measuring the quality experienced during online gaming activities is an important prerequisite for managing gaming services, but up to now no standardized methods were available for this purpose. This paper presents the results from two study items promoted by Study Group 12 of the International Telecommunication Union. Work on these items resulted in one draft Recommendation on subjective methods for evaluating gaming Quality of Experience (QoE), as well as one approved Recommendation on influence factors on gaming QoE which might be considered in service planning and management. Future work which is necessary to predict gaming QoE is addressed in the end of the paper.
{"title":"New ITU-T Standards for Gaming QoE Evaluation and Management","authors":"S. Möller, Steven Schmidt, Saman Zadtootaghaj","doi":"10.1109/QoMEX.2018.8463404","DOIUrl":"https://doi.org/10.1109/QoMEX.2018.8463404","url":null,"abstract":"Measuring the quality experienced during online gaming activities is an important prerequisite for managing gaming services, but up to now no standardized methods were available for this purpose. This paper presents the results from two study items promoted by Study Group 12 of the International Telecommunication Union. Work on these items resulted in one draft Recommendation on subjective methods for evaluating gaming Quality of Experience (QoE), as well as one approved Recommendation on influence factors on gaming QoE which might be considered in service planning and management. Future work which is necessary to predict gaming QoE is addressed in the end of the paper.","PeriodicalId":6618,"journal":{"name":"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)","volume":"46 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":"88317872","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}
Pub Date : 2018-05-01DOI: 10.1109/QoMEX.2018.8463435
Susanna Schwarzmann, T. Zinner, Stefan Geissler, Christian Sieber
HTTP Adaptive Streaming (HAS) is the de-facto standard for video delivery over the Internet. It enables the dynamic adaptation of video quality by splitting the video clip into small segments and providing multiple quality levels per segment. Current HAS streaming services typically utilize segments of equal durations. However, this leads to video encoding overhead as segments have to start with I -frames, independently of the encoded video content. In this paper we evaluate the prospects of variable segment durations, where video segments are aligned to the video characteristics. We evaluate the reduction of the encoding overhead and investigate its impact on the stalling probability using a theoretical model. It turns out that the variable approach outperforms the fixed approach in 86% of the evaluated cases with respect to video stalls.
{"title":"Evaluation of the Benefits of Variable Segment Durations for Adaptive Streaming","authors":"Susanna Schwarzmann, T. Zinner, Stefan Geissler, Christian Sieber","doi":"10.1109/QoMEX.2018.8463435","DOIUrl":"https://doi.org/10.1109/QoMEX.2018.8463435","url":null,"abstract":"HTTP Adaptive Streaming (HAS) is the de-facto standard for video delivery over the Internet. It enables the dynamic adaptation of video quality by splitting the video clip into small segments and providing multiple quality levels per segment. Current HAS streaming services typically utilize segments of equal durations. However, this leads to video encoding overhead as segments have to start with I -frames, independently of the encoded video content. In this paper we evaluate the prospects of variable segment durations, where video segments are aligned to the video characteristics. We evaluate the reduction of the encoding overhead and investigate its impact on the stalling probability using a theoretical model. It turns out that the variable approach outperforms the fixed approach in 86% of the evaluated cases with respect to video stalls.","PeriodicalId":6618,"journal":{"name":"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)","volume":"8 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":"82041853","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}
Pub Date : 2018-05-01DOI: 10.1109/QoMEX.2018.8463425
Gabriel Mittag, S. Möller, Vincent Barriac, Stephane Ragor
Voice transmission networks are commonly planned with the help of computational quality models, which give an estimate of the expected quality that a user will experience. The most popular of these tools is the E-model. When certain parameters are known, such as the applied codec and its bitrate, the model is able to predict the perceived quality of a communication system. Up to now, the E-model is only available for narrowband telephony (300–3400 Hz) and limited also for wideband telephony (100–7000 Hz). With the extension of voice networks to super-wideband telephony (50–14000 Hz), and the introduction of the super-wideband codec EVS to mobile networks and state of the art smartphones, an update of the E-model has become necessary. To this end, we firstly examined the quality improvement of super-wideband over wideband with results from mixed-band listening-only tests, where we found that the quality is improved by 15%. Then, we calculated impairment factors for the EVS codec and analyzed its robustness towards packet loss, by using auditory and instrumental methods.
{"title":"Quantifying Quality Degradation of the EVS Super-Wideband Speech Codec","authors":"Gabriel Mittag, S. Möller, Vincent Barriac, Stephane Ragor","doi":"10.1109/QoMEX.2018.8463425","DOIUrl":"https://doi.org/10.1109/QoMEX.2018.8463425","url":null,"abstract":"Voice transmission networks are commonly planned with the help of computational quality models, which give an estimate of the expected quality that a user will experience. The most popular of these tools is the E-model. When certain parameters are known, such as the applied codec and its bitrate, the model is able to predict the perceived quality of a communication system. Up to now, the E-model is only available for narrowband telephony (300–3400 Hz) and limited also for wideband telephony (100–7000 Hz). With the extension of voice networks to super-wideband telephony (50–14000 Hz), and the introduction of the super-wideband codec EVS to mobile networks and state of the art smartphones, an update of the E-model has become necessary. To this end, we firstly examined the quality improvement of super-wideband over wideband with results from mixed-band listening-only tests, where we found that the quality is improved by 15%. Then, we calculated impairment factors for the EVS codec and analyzed its robustness towards packet loss, by using auditory and instrumental methods.","PeriodicalId":6618,"journal":{"name":"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)","volume":"74 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":"80600200","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}
Pub Date : 2018-05-01DOI: 10.1109/QoMEX.2018.8463379
Irena Orsolic, M. Sužnjević, Lea Skorin-Kapov
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.
在过去的几年里，已经开发了不同的客户端QoE监控应用程序，这些应用程序对流行的视频流服务的性能进行基准测试。这些工具还提供了在开发模型以估计或分类来自加密网络流量的QoE和各种kpi时收集地面真实数据的方法。我们提出了一个名为ViQMon的客户端YouTube QoE监控工具，它从官方应用程序的Stats for Nerds窗口提取YouTube性能数据，适用于各种设备和平台(Android, iOS)。我们将ViQMon与依赖YouTube api的方法进行比较，并在视频嵌入和视频在官方YouTube应用程序中播放的情况下显示缓冲和应用程序行为的相关差异。我们进一步将ViQMon与实验室和商业移动网络中的网络测量数据集合一起使用，以收集在不同网络条件下流式传输的近500个YouTube视频的大型数据集。该数据集用于构建基于机器学习的模型，用于仅从ip级网络流量特征估计QoE和各种应用层kpl。因此，该方法适用于TLS和QUIC流量的上下文中。本文进一步对所建模型的性能进行了比较和分析。
{"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}
Pub Date : 2018-05-01DOI: 10.1109/QoMEX.2018.8463429
Ayyoub Ahar, Saeed Mahmoudpour, G. Wallendael, Tom Paridaens, P. Lambert, P. Schelkens
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.
{"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}
Pub Date : 2018-05-01DOI: 10.1109/QoMEX.2018.8463298
Rafael Zequeira Jiménez, Laura Fernández Gallardo, S. Möller
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.
{"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}
Pub Date : 2018-05-01DOI: 10.1109/QoMEX.2018.8463431
F. Schiffner, S. Möller
This paper reports the further investigation of the perceptual quality space for video degradations [1], [2]. First, a new method is presented for directly assessing the identified perceptual quality dimensions. This method makes it possible to assess more test conditions in the same time, due to the reduced experimental effort. We tested this method in an user experiment. The method itself as well as the results are presented. Besides the rating of the perceptual quality dimensions, the test participants are also asked to rate the overall quality of the video. This allows drawing conclusions of the composition of the underlying quality dimensions to form overall quality for video. Second, an overall quality prediction model on the basis of the before investigated perceptual dimensions is presented. The results of the model are compared to the ratings obtained from subjective testing.
{"title":"Direct Scaling & Quality Prediction for perceptual Video Quality Dimensions","authors":"F. Schiffner, S. Möller","doi":"10.1109/QoMEX.2018.8463431","DOIUrl":"https://doi.org/10.1109/QoMEX.2018.8463431","url":null,"abstract":"This paper reports the further investigation of the perceptual quality space for video degradations [1], [2]. First, a new method is presented for directly assessing the identified perceptual quality dimensions. This method makes it possible to assess more test conditions in the same time, due to the reduced experimental effort. We tested this method in an user experiment. The method itself as well as the results are presented. Besides the rating of the perceptual quality dimensions, the test participants are also asked to rate the overall quality of the video. This allows drawing conclusions of the composition of the underlying quality dimensions to form overall quality for video. Second, an overall quality prediction model on the basis of the before investigated perceptual dimensions is presented. The results of the model are compared to the ratings obtained from subjective testing.","PeriodicalId":6618,"journal":{"name":"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)","volume":"25 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79504605","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}
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