2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)最新文献_第6页

A Hybrid Quality Metric for Non-Integer Image Interpolation 一种用于非整数图像插值的混合质量度量

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/QoMEX.2018.8463405

Jinling Chen, Yiwen Xu, Kede Ma, Huiwen Huang, Tiesong Zhao

引用次数: 6

HSSIM: An Objective Haptic Quality Assessment Measure for Force-Feedback Signals 力反馈信号的客观触觉质量评价方法

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/QoMEX.2018.8463365

Rania Hassen, E. Steinbach

{"title":"HSSIM: An Objective Haptic Quality Assessment Measure for Force-Feedback Signals","authors":"Rania Hassen, E. Steinbach","doi":"10.1109/QoMEX.2018.8463365","DOIUrl":"https://doi.org/10.1109/QoMEX.2018.8463365","url":null,"abstract":"Recent advances in haptic communication cast light onto the promise of full immersion into remote real or virtual environments. The quality of compressed haptic signals is crucial to fulfill this promise. Traditionally, the quality of haptic signals is evaluated through a series of subjective experiments. So far, only very limited attention was directed toward developing objective quality measures for haptic communication. As touch applications continue to grow, the need for efficient haptic quality assessment (HQA) measures is becoming more pronounced. In this work, we attempt to pragmatically approach this problem inspired by recent advances in the visual domain. More specifically, we design a HQA measure based on our knowledge of human haptic perception represented by Stevens power law and a similarity comparison between a reference and a compressed haptic force-feedback signal represented by the SSIM index as a full-reference quality measure. The proposed HSSIM measure provides clear advantages over existing approaches. We validate the performance of the proposed HQA measure with subjective experiments which show high correlation with human quality assessment results.","PeriodicalId":6618,"journal":{"name":"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)","volume":"11 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":"78258601","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: 16

Know your Game: A Bottom-Up Approach for Gaming Research 了解你的游戏:自下而上的游戏研究方法

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/QoMEX.2018.8463423

Sajad Mowlaei, Steven Schmidt, Saman Zadtootaghaj, S. Möller

{"title":"Know your Game: A Bottom-Up Approach for Gaming Research","authors":"Sajad Mowlaei, Steven Schmidt, Saman Zadtootaghaj, S. Möller","doi":"10.1109/QoMEX.2018.8463423","DOIUrl":"https://doi.org/10.1109/QoMEX.2018.8463423","url":null,"abstract":"Recent advancements of network architecture such as 5G networks, promise cloud services with strict network constrains a bright future. Cloud gaming as an interactive service has strict end-to-end delay constraints. Therefore, many studies investigated the impact of network parameters such as delay or packet loss on gaming QoE. However, they mostly compared games or genres with each other and neglected the fact even two levels of the same game may have different sensitivity toward delay. In order to understand the game characteristics that cause this difference in delay sensitivity, a bottom-up approach by means of modifiable open source games can be of high value. In this paper we present a game designed to tackle this issue. The game allows to artificially change characteristics of the game, such as the pace and size of objects, and also simulate influences like delay, packet loss or a reduced frame rate. This allows the usage of the game also for crowdsourcing studies, where it is not possible to control the different network conditions of the participants, and to investigate the impact of spatial and temporal accuracy in respect to the sensitivity towards impairments.","PeriodicalId":6618,"journal":{"name":"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)","volume":"3 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":"79607525","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: 4

How Long is Long Enough to Induce Immersion? 多长时间才足够让人沉浸其中?

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/QoMEX.2018.8463397

Chenyan Zhang, A. S. Hoel, A. Perkis, Saman Zadtootaghaj

{"title":"How Long is Long Enough to Induce Immersion?","authors":"Chenyan Zhang, A. S. Hoel, A. Perkis, Saman Zadtootaghaj","doi":"10.1109/QoMEX.2018.8463397","DOIUrl":"https://doi.org/10.1109/QoMEX.2018.8463397","url":null,"abstract":"In this paper, the immersiveness of three variations of spatial content was tested and compared. Content A is a high quality architectural visualization, which is characterized as purely spatial immersion. Content B is the best goal moments of real football games, which is mainly spatial immersion, with slight tactical immersion focus, compiled with mixed qualities. And content C is a high quality recorded virtual game animation, which is mainly spatial immersion, with slight emotional immersion focus. Each of the three spatial contents was cut into different lengths of 3 min, 7 min and 11 min. The participants report the ratings of their immersive experience on a 34-item questionnaire, after watching a combination of three media clips fully randomized in content types and durations, on a 10-inch tablet. Results show that overall, 7 min duration allows the users to feel significantly greater immersive experience than 3 min and 11 min durations for content A and content C. And for content B, 3 min duration stands out as the most immersive. Our study suggests that it is not the longer the more immersive, but there is an optimal duration for spatial immersion (around 7 min). After that, if there is not enough dramaturgical structure to sustain the audience interest, the immersiveness of the spatial content would significantly diminish (i.e. immersion turns into boredom). Our study also shows that realism factors also play a crucial role in inducing spatial immersion.","PeriodicalId":6618,"journal":{"name":"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)","volume":"43 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":"81767595","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: 9

Extended Features using Machine Learning Techniques for Photo Liking Prediction 使用机器学习技术进行照片喜好预测的扩展功能

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/QoMEX.2018.8463396

Steve Goering, Konstantin Brand, A. Raake

{"title":"Extended Features using Machine Learning Techniques for Photo Liking Prediction","authors":"Steve Goering, Konstantin Brand, A. Raake","doi":"10.1109/QoMEX.2018.8463396","DOIUrl":"https://doi.org/10.1109/QoMEX.2018.8463396","url":null,"abstract":"Today several photo platforms provide thousands of new pictures, it becomes ambitious to find highly appealing or like-able photos within such loads of data. Here, automatic liking prediction can support users in handling their pictures or improve ranking in sharing platforms. We describe a machine learning approach for photo liking prediction. Our features are based on various techniques, e.g. natural language processing/sentiment analysis, pre-trained deep learning networks, social network analysis and extended previously reported features. We conduct large-scale experiments using a collected dataset consisting of 80k photos based on two main categories from 500px with different settings. In our experiments we analyzed the impact of our newly features and found that social network features have the strongest influence for liking prediction, we achived a boost of 15%. Furthermore, we show that all implemented features are able to improve prediction accuracy of liking rates. We additionally analyze which groups of features that can be derived directly from pictures are usable for prediction.","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":"89510465","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: 6

Effect of Primitive Features of Content on Perceived Quality of Light Field Visualization 内容原始特征对光场可视化感知质量的影响

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/QoMEX.2018.8463421

R. R. Tamboli, Balasubramanyam Appina, P. A. Kara, M. Martini, Sumohana S. Channappayya, S. Jana

引用次数: 6

Towards a Neuro-Inspired No-Reference Instrumental Quality Measure for Text-to-Speech Systems 面向文本到语音系统的神经启发的无参考仪器质量测量

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/QoMEX.2018.8463392

Rishabh Gupta, Anderson R. Avila, T. Falk

{"title":"Towards a Neuro-Inspired No-Reference Instrumental Quality Measure for Text-to-Speech Systems","authors":"Rishabh Gupta, Anderson R. Avila, T. Falk","doi":"10.1109/QoMEX.2018.8463392","DOIUrl":"https://doi.org/10.1109/QoMEX.2018.8463392","url":null,"abstract":"Subjective evaluation of synthesized speech is not an easy task as various quality dimensions can be affected, including naturalness, prosody, pronunciation, and continuity, to name a few. Evaluations typically rely on naive listeners, thus more closely representing the consumers of commercial products. As such, while the results of these costly and time consuming tests may provide text-to-speech (TTS) system developers with feedback on the perceived quality and acceptability of their devices, it provides little information on what the source of the problems are and what can be done about it. In this paper, we propose the use of neuroimaging to probe the unconscious cognitive processing of naive listeners as they listen to synthesized speech generated by different systems of varying quality. The obtained neural insights have allowed us to extract a small subset of very relevant features from the speech signals and to use these features to build a simple, no-reference instrumental quality metric specifically tailored to TTS speech. The metric is tested on an unseen dataset and shown to significantly outperform a benchmark algorithm.","PeriodicalId":6618,"journal":{"name":"2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)","volume":"45 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":"90747112","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

VALID: Visual quality Assessment for Light field Images Dataset 有效:光场图像数据集的视觉质量评估

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/QoMEX.2018.8463388

Irene Viola, T. Ebrahimi

引用次数: 35

Disregarding the Big Picture: Towards Local Image Quality Assessment 忽略大局:走向局部图像质量评估

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/QoMEX.2018.8463384

Oliver Wiedemann, Vlad Hosu, Hanhe Lin, D. Saupe

引用次数: 17

Introducing UN Salient360! Benchmark: A platform for evaluating visual attention models for 360° contents 介绍UN Salient360!Benchmark:用于评估360°内容的视觉注意力模型的平台

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) Pub Date : 2018-05-01 DOI: 10.1109/QoMEX.2018.8463369

Jesús Gutiérrez, Erwan J. David, A. Coutrot, Matthieu Perreira Da Silva, P. Callet

引用次数: 51