Ademoye, Oluwakemi A<\/b>
\nOlfactory-enhanced Multimedia Video Clips Datasets<\/p>\n
Agarwal, Lavita<\/b>
\nP.1203 Evaluation of Real OTT Video Services<\/p>\n
Agostinelli, Erika<\/b>
\nMeasuring the Added Value of Haptic Feedback<\/p>\n
Alexiou, Evangelos<\/b>
\nOn Subjective and Objective Quality Evaluation of Point Cloud Geometry<\/p>\n
Althobaiti, Turke<\/b>
\nPerceptual video quality evaluation by means of physiological signals<\/p>\n
Ammar, Doreid<\/b>
\nExploring diverse measures for evaluating QoE in the context of WebRTC<\/p>\n
Arnau-Gonz\u00e1lez, Pablo<\/b>
\nPerceptual video quality evaluation by means of physiological signals<\/p>\n
Arndt, Sebastian<\/b>
\nSpatial Immersion versus Emotional Immersion, Which is More Immersive?
\nExploring diverse measures for evaluating QoE in the context of WebRTC<\/p>\nB<\/h3>\n
Barman, Nabajeet<\/b>
\nH.264\/MPEG-AVC, H.265\/MPEG-HEVC and VP9 Codec Comparison for Live Gaming Video Streaming<\/p>\n
Barriac, Vincent<\/b>
\nEvaluation of single-artifact based video quality metrics in video communication context<\/p>\n
Barsi, Attila<\/b>
\nOn the Edge of the Seat: Reduced Angular Resolution of a Light Field Cinema with Fixed Observer Positions<\/p>\n
Battisti, Federica<\/b>
\nCharacterization and selection of light field content for perceptual assessment<\/p>\n
Birkbeck, Neil<\/b>
\nQuantitative Evaluation of Omnidirectional Video Quality<\/p>\n
Bist, Cambodge<\/b>
\nQoE-based Brightness Control for HDR Displays<\/p>\n
Bitto, Roland<\/b>
\nP.1203 Evaluation of Real OTT Video Services<\/p>\n
Blanc, Alberto<\/b>
\nExperimental evaluation of WebRTC voice quality in LTE coverage tests<\/p>\n
Bleiholder, Stefan<\/b>
\nTesting conversational quality of VoIP with different terminals and degradations<\/p>\n
Bokan, Dejan<\/b>
\nBlind DIBR-Synthesized Image Quality Assessment based on Sparsity Features in Morphological Multiscale Domain<\/p>\n
Borchert, Kathrin<\/b>
\nCollecting Subjective Ratings in Enterprise Environments<\/p>\n
Broll, Wolfgang<\/b>
\nExploring Users Views On Immersive Adult Entertainment Applications<\/p>\n
Brown, Chip<\/b>
\nQuantitative Evaluation of Omnidirectional Video Quality
\nImmersive Media Quality Evaluation at Google: Discussion of open questions<\/p>\nC<\/h3>\n
Carli, Marco<\/b>
\nCharacterization and selection of light field content for perceptual assessment<\/p>\n
Casas, Pedro<\/b>
\nPredicting QoE in Cellular Networks using Machine Learning and in-Smartphone Measurements
\nUnsupervised QoE Field Study for Mobile YouTube Video Streaming with YoMoApp<\/p>\n
Chandra, Sheetal<\/b>
\nNo-Reference Quality Assessment of Tone Mapped High Dynamic Range (HDR) Images Using Transfer Learning<\/p>\n
Channappayya, Sumohana<\/b>
\nNo-Reference Quality Assessment of Tone Mapped High Dynamic Range (HDR) Images Using Transfer Learning<\/p>\n
Colett, Hannah<\/b>
\nAssessment of Lossy Images with Visual Detection and Saccadic Eye Movements<\/p>\n
Corriveau, Philip<\/b>
\nAssessment of Lossy Images with Visual Detection and Saccadic Eye Movements<\/p>\n
Cotton, Andrew<\/b>
\nModelling Brightness Perception for High Dynamic Range Television<\/p>\n
Cozot, R\u00e9mi<\/b>
\nQoE-based Brightness Control for HDR Displays<\/p>\n
Cserkaszky, Aron<\/b>
\nOn the Edge of the Seat: Reduced Angular Resolution of a Light Field Cinema with Fixed Observer Positions<\/p>\n
Cutler, Ross<\/b>
\nAnalysis of Problem Tokens to Rank Factors Impacting Quality in VoIP Applications<\/p>\nD<\/h3>\n
D’Alconzo, Alessandro<\/b>
\nPredicting QoE in Cellular Networks using Machine Learning and in-Smartphone Measurements
\nUnsupervised QoE Field Study for Mobile YouTube Video Streaming with YoMoApp<\/p>\n
Darukumalli, Subbareddy<\/b>
\nOn the Edge of the Seat: Reduced Angular Resolution of a Light Field Cinema with Fixed Observer Positions<\/p>\n
De Abreu, Ana<\/strong> De Moor, Katrien<\/strong> Deforges, Olivier<\/b> Doyle, Linda<\/b> Du, Yang<\/b> Ducloux, Xavier<\/b> Dufaux, Frederic<\/b> Dufour, Jerome<\/b> Ebrahimi, Touradj<\/b> Egger-Lampl, Sebastian<\/b> Ellis, Martin<\/b> Engelke, Ulrich<\/b> Fang, Yuming<\/b> Feiten, Bernhard<\/b> Fern\u00e1ndez Gallardo, Laura<\/strong> Flynn, Ronan<\/b> Francombe, Jon<\/b> Fremerey, Stephan<\/b> Garcia, Marie-Neige<\/b> Garcia, Marie-Neige<\/b> Gardlo, Bruno<\/b> Geerts, David<\/b> Ghinea, George<\/b> Gomez, Ismael<\/b> Grao, Guillaume<\/b> Gu, Ke<\/b> Guillotel, Philippe<\/b> Gupchup, Jayant<\/b> Gupta, Shashank<\/b> Guti\u00e9rrez, Jes\u00fas<\/b> Gutu, Dorin<\/b> G\u00f6ring, Steve<\/b> G\u00f6ritz, Anja S.<\/b> Habets, Emanu\u00ebl A. P.<\/b> Hahn, Franz<\/b> Hamidouche, Wassim<\/b> Hammer, Florian<\/b> Heegaard, Poul E.<\/b> Hines, Andrew<\/b> Hirth, Matthias<\/b> Horita, Yuukou<\/b> Hosseinkashi, Yasaman<\/b> Hossfeld, Tobias<\/b> Hosu, Vlad<\/b> Hulusic, Vedad Inazumi, Yasuhiro<\/b> Jackson, Philip J. B.<\/b> Jalal, Lana<\/b> Jenadeleh, Mohsen<\/b> Johnson, Sam<\/b> Kara, P\u00e9ter Andr\u00e1s<\/b> Katsigiannis, Stamos<\/b> Keighrey, Conor<\/b> Kelleher, John D.<\/b> Ketchell, Sarah<\/b> Kettler, Frank<\/b> Keyhl, Michael<\/b> Knopf, Juliana<\/b> Kokaram, Anil<\/b> Koppetz, Michael<\/b> Korhonen, Jari<\/b> Kukolj, Dragan<\/b> Kumar, Abhinau<\/b> K\u00f6ster, Friedemann<\/b> Lagrange, Xavier<\/b> Le Callet, Patrick<\/strong> Lee, Brian<\/b> Li, Shujun<\/b> Lin, Hanhe<\/b> List, Peter<\/b> Liu, Ju<\/b> Longino, August<\/b> Lungaro, Pietro<\/b> Madec, G\u00e9rard<\/b> Maggioni, Emanuela<\/b> Mahmoudpour, Saeed<\/b> Majed, Najmeddine<\/b> Mandurov, Matija<\/b> Mantiuk, Rafal<\/b> Martini, Maria G.<\/b> Matijasevic, Maja<\/b> Men, Hui<\/b> Mittag, Gabriel<\/b> Muntean, Gabriel-Miro<\/b> Murray, Niall<\/b> Murray, Siobhan<\/b> Murroni, Maurizio<\/b> M\u00f6ller, Sebastian<\/b> Nag, Avishek<\/b> Nguyen, Huyen<\/b> Noland, Katy<\/b> Obermann, Matthias<\/b> Obrist, Marianna<\/b> Ozcinar, Cagri<\/b> Paudyal, Pradip<\/b> Perkis, Andrew<\/b> Perkis, Andrew<\/b> Perrin, Anne-Flore<\/b> Philippe, Pierrick<\/b> Pindoria, Manish<\/b> Plinge, Axel<\/b> Qiao, Yuansong<\/b> Raake, Alexander<\/b> Ragot, Stephane<\/b> Rai, Yashas<\/b> Ramachandran, Vivek<\/b> Raman, Shanmuganathan<\/b> Ramzan, Naeem<\/b> Rerabek, Martin<\/b> Robitza, Werner<\/b> Rummukainen, Olli<\/b> Sackl, Andreas<\/b> Saidi, Ines<\/b> Sandi\u0107-Stankovi\u0107, Dragana<\/b> Satti, Shahid<\/b> Saupe, Dietmar<\/b> Sawada, Daiki<\/b> Schatz, Raimund<\/b> Schelkens, Peter<\/b> Schiffner, Falk<\/b> Schlecht, Sebastian<\/b> Schmidmer, Christian<\/b> Schmidt, Steven<\/b> Schwind, Anika<\/b> Sch\u00f6ll, Clemens<\/b> Selim, Ahmed<\/b> Seufert, Michael<\/b> Seybold, Tamara<\/b> Shibata, Keiji<\/b> Sidaty, Naty<\/b> Singla, Ashutosh<\/b> Skorin-Kapov, Lea<\/b> Slanina, Martin<\/b> Smolic, Aljosa<\/b> So\u0142oducha, Micha\u0142<\/b> Stenzel, Hanne<\/b> Suderman, Robert<\/b> Sutton, Paul<\/b> Suznjevic, Mirko<\/b> Szir\u00e1nyi, Tam\u00e1s<\/b> Timmerer, Christian<\/b> Tollmar, Konrad<\/b> Tran-Gia, Phuoc<\/b> Upenik, Evgeniy<\/b> Valenzise, Giuseppe<\/b> Varela, Martin<\/b> Veliki\u0107, Gordana<\/b> Viola, Irene<\/b> Voigt-Antons, Jan-Niklas<\/b> Wamser, Florian<\/b> Wang, Jiheng<\/b> Wehner, Nikolas<\/b> Weidner, Florian<\/b> Weiss, Benjamin<\/b> Yan, Jiebin<\/b> Yang, Shun-Nan<\/b> Zach, Ondrej<\/b> Zadtootaghaj, Saman<\/b> Zequeira Jim\u00e9nez, Rafael<\/strong> Zerman, Emin<\/b> Zhai, Guangtao<\/b> Zhang, Chenyan<\/b> Zhang, Lu<\/b> Zhang, Xijie<\/b> Zhu, Wenhan<\/b> Zhu, Yucheng<\/b> Zinner, Thomas<\/b> A Ademoye, Oluwakemi A Olfactory-enhanced Multimedia Video Clips Datasets Agarwal, Lavita P.1203 Evaluation of Real OTT Video Services Agostinelli, Erika Measuring the Added Value of Haptic Feedback Alexiou, Evangelos On Subjective and Objective Quality Evaluation of Point Cloud Geometry Althobaiti,<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-682","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.qomex2017.org\/index.php\/wp-json\/wp\/v2\/pages\/682","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.qomex2017.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.qomex2017.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.qomex2017.org\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.qomex2017.org\/index.php\/wp-json\/wp\/v2\/comments?post=682"}],"version-history":[{"count":2,"href":"https:\/\/www.qomex2017.org\/index.php\/wp-json\/wp\/v2\/pages\/682\/revisions"}],"predecessor-version":[{"id":685,"href":"https:\/\/www.qomex2017.org\/index.php\/wp-json\/wp\/v2\/pages\/682\/revisions\/685"}],"wp:attachment":[{"href":"https:\/\/www.qomex2017.org\/index.php\/wp-json\/wp\/v2\/media?parent=682"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nLook Around You: Saliency Maps for Omnidirectional Images in VR Applications<\/p>\n
\nExploring diverse measures for evaluating QoE in the context of WebRTC<\/p>\n
\nEvaluation of single-artifact based video quality metrics in video communication context
\nNew Emerging Video Coding Performances: 4K Quality Monitoring<\/p>\n
\nA Software Radio LTE Network Testbed for Video Quality of Experience Experimentation<\/p>\n
\nPreference identification for images using the change of the amount of blood in frontal lobe with NIRS<\/p>\n
\nQoE-based Brightness Control for HDR Displays<\/p>\n
\nEffect of Color Space on High Dynamic Range Video Compression Performance<\/p>\n
\nExperimental evaluation of WebRTC voice quality in LTE coverage tests<\/p>\nE<\/h3>\n
\nOn Subjective and Objective Quality Evaluation of Point Cloud Geometry
\nOn the Performance of Objective Metrics for Omnidirectional Visual Content
\nImpact of interactivity on the assessment of quality of experience for light field content
\nTowards the Need Satisfaction in Gaming: A comparison of different gaming platforms<\/p>\n
\nPosition Paper: Quality-of-Experience of Cyber-Physical System Applications<\/p>\n
\nAnalysis of Problem Tokens to Rank Factors Impacting Quality in VoIP Applications<\/p>\n
\nQuality of Augmented Reality Experience: A Correlation Analysis<\/p>\nF<\/h3>\n
\nNo Reference Quality Assessment for Stereoscopic Images by Statistical Features<\/p>\n
\nA Bitstream-based, Scalable Video-Quality Model for HTTP Adaptive Streaming: ITU-T P.1203.1
\nA Framework for QoE Analysis of Encrypted Videos Streams<\/p>\n
\nScoring Voice Likability using Pair-Comparison: Laboratory vs. Crowdsourcing Approach<\/p>\n
\nA QoE Evaluation of Immersive Augmented and Virtual Reality Speech & Language Assessment Applications<\/p>\n
\nSpeech Reaction Time Measurements for the Evaluation of Audio-Visual Spatial Coherence<\/p>\n
\nMeasuring and Comparing QoE and Simulator Sickness of Omnidirectional Videos in Different Head Mounted Displays<\/p>\nG<\/h3>\n
\nA Bitstream-based, Scalable Video-Quality Model for HTTP Adaptive Streaming: ITU-T P.1203.1<\/p>\n
\nA Modular HTTP Adaptive Streaming QoE Model \u2013 Candidate for ITU-T P.1203 (\u201cP.NATS\u201d)<\/p>\n
\nTowards Subjective Quality of Experience Assessment for Omnidirectional Video Streaming
\nPredicting QoE in Cellular Networks using Machine Learning and in-Smartphone Measurements<\/p>\n
\nSynergies between Quality of Experience and User Experience?!<\/p>\n
\nOlfactory-enhanced Multimedia Video Clips Datasets<\/p>\n
\nA Software Radio LTE Network Testbed for Video Quality of Experience Experimentation<\/p>\n
\nExperimental evaluation of WebRTC voice quality in LTE coverage tests<\/p>\n
\nNo-Reference Quality Assessment for JPEG Compressed Images<\/p>\n
\nWhich saliency weighting for omni directional image quality assessment?<\/p>\n
\nAnalysis of Problem Tokens to Rank Factors Impacting Quality in VoIP Applications<\/p>\n
\nNo-Reference Quality Assessment of Tone Mapped High Dynamic Range (HDR) Images Using Transfer Learning<\/p>\n
\nCharacterization and selection of light field content for perceptual assessment<\/p>\n
\nPreference identification for images using the change of the amount of blood in frontal lobe with NIRS<\/p>\n
\nA Bitstream-based, Scalable Video-Quality Model for HTTP Adaptive Streaming: ITU-T P.1203.1
\nA Framework for QoE Analysis of Encrypted Videos Streams<\/p>\n
\nCollecting Subjective Ratings in Enterprise Environments<\/p>\nH<\/h3>\n
\nEvaluation of Binaural Reproduction Systems from Behavioral Patterns in a Six-Degrees-of-Freedom Wayfinding Task<\/p>\n
\nThe Konstanz Natural Video Database (KoNViD-1k)<\/p>\n
\nNew Emerging Video Coding Performances: 4K Quality Monitoring<\/p>\n
\nPosition Paper: Quality-of-Experience of Cyber-Physical System Applications<\/p>\n
\nNo Silver Bullet: QoE Metrics, QoE Fairness, and User Diversity in the Context of QoE Management
\nExploring diverse measures for evaluating QoE in the context of WebRTC<\/p>\n
\nA Framework for Post-Stroke Quality of Life Prediction using Structured Prediction<\/p>\n
\nCollecting Subjective Ratings in Enterprise Environments<\/p>\n
\nPreference identification for images using the change of the amount of blood in frontal lobe with NIRS<\/p>\n
\nAnalysis of Problem Tokens to Rank Factors Impacting Quality in VoIP Applications<\/p>\n
\nNo Silver Bullet: QoE Metrics, QoE Fairness, and User Diversity in the Context of QoE Management<\/p>\n
\nThe Konstanz Natural Video Database (KoNViD-1k)<\/p>\n
\n<\/b>Effect of Color Space on High Dynamic Range Video Compression Performance<\/p>\nI<\/h3>\n
\nPreference identification for images using the change of the amount of blood in frontal lobe with NIRS<\/p>\nJ<\/h3>\n
\nSpeech Reaction Time Measurements for the Evaluation of Audio-Visual Spatial Coherence<\/p>\n
\nA Nonlinear Quality of Experience Model for High Dynamic Spatio-Temporal Mulsemedia<\/p>\n
\nThe Konstanz Natural Video Database (KoNViD-1k)<\/p>\n
\nAnalysis of Problem Tokens to Rank Factors Impacting Quality in VoIP Applications<\/p>\nK<\/h3>\n
\nThe Label Knows Better: The Impact of Labeling Effects on Perceived Quality of HD and UHD Video Streaming
\nOn the Edge of the Seat: Reduced Angular Resolution of a Light Field Cinema with Fixed Observer Positions<\/p>\n
\nPerceptual video quality evaluation by means of physiological signals<\/p>\n
\nA QoE Evaluation of Immersive Augmented and Virtual Reality Speech & Language Assessment Applications<\/p>\n
\nA Framework for Post-Stroke Quality of Life Prediction using Structured Prediction<\/p>\n
\nQuality of Augmented Reality Experience: A Correlation Analysis<\/p>\n
\nTesting conversational quality of VoIP with different terminals and degradations<\/p>\n
\nP.1203 Evaluation of Real OTT Video Services<\/p>\n
\nAssessment of Lossy Images with Visual Detection and Saccadic Eye Movements<\/p>\n
\nA Software Radio LTE Network Testbed for Video Quality of Experience Experimentation<\/p>\n
\nMotion Picture Camera Systems \u2013 Defining a Quality Metric for a Creative Tool<\/p>\n
\nPredicting Personal Preferences in Subjective Video Quality Assessment<\/p>\n
\nBlind DIBR-Synthesized Image Quality Assessment based on Sparsity Features in Morphological Multiscale Domain<\/p>\n
\nNo-Reference Quality Assessment of Tone Mapped High Dynamic Range (HDR) Images Using Transfer Learning<\/p>\n
\nModelling Speech Service Quality: From Conversational Phases to Communication Quality and Service Quality
\nModeling the Overall Quality of Experience on the Basis of Underlying Quality Dimensions<\/p>\nL<\/h3>\n
\nExperimental evaluation of WebRTC voice quality in LTE coverage tests<\/p>\n
\nWhich saliency weighting for omni directional image quality assessment?
\nCharacterization and selection of light field content for perceptual assessment<\/p>\n
\nOlfactory-enhanced Multimedia Video Clips Datasets<\/p>\n
\nThe Konstanz Natural Video Database (KoNViD-1k)<\/p>\n
\nEmpirical Evaluation of No-Reference VQA Methods on a Natural Video Quality Database
\nThe Konstanz Natural Video Database (KoNViD-1k)<\/p>\n
\nA Bitstream-based, Scalable Video-Quality Model for HTTP Adaptive Streaming: ITU-T P.1203.1<\/p>\n
\nAssessment of Lossy Images with Visual Detection and Saccadic Eye Movements<\/p>\n
\nAssessing the impact of inaccurate decision support systems on experts\u2019 behavior and decisions<\/p>\n
\nQoE design tradeoffs for foveated content provision<\/p>\nM<\/h3>\n
\nQoE-based Brightness Control for HDR Displays<\/p>\n
\nMeasuring the Added Value of Haptic Feedback<\/p>\n
\nReduced-Reference Image Quality Assessment based on Internal Generative Mechanism utilizing Shearlets and Renyi Entropy Analysis<\/p>\n
\nExperimental evaluation of WebRTC voice quality in LTE coverage tests<\/p>\n
\nPerformance and subjective quality assessment for pick-and-place task with HTC Vive and Oculus Rift<\/p>\n
\nEffect of Color Space on High Dynamic Range Video Compression Performance<\/p>\n
\nThe Label Knows Better: The Impact of Labeling Effects on Perceived Quality of HD and UHD Video Streaming
\nH.264\/MPEG-AVC, H.265\/MPEG-HEVC and VP9 Codec Comparison for Live Gaming Video Streaming
\nOn the Edge of the Seat: Reduced Angular Resolution of a Light Field Cinema with Fixed Observer Positions<\/p>\n
\nPerformance and subjective quality assessment for pick-and-place task with HTC Vive and Oculus Rift<\/p>\n
\nEmpirical Evaluation of No-Reference VQA Methods on a Natural Video Quality Database
\nThe Konstanz Natural Video Database (KoNViD-1k)<\/p>\n
\nModeling the Overall Quality of Experience on the Basis of Underlying Quality Dimensions<\/p>\n
\nOlfactory-enhanced Multimedia Video Clips Datasets<\/p>\n
\nOlfactory-enhanced Multimedia Video Clips Datasets
\nA QoE Evaluation of Immersive Augmented and Virtual Reality Speech & Language Assessment Applications<\/p>\n
\nA QoE Evaluation of Immersive Augmented and Virtual Reality Speech & Language Assessment Applications<\/p>\n
\nA Nonlinear Quality of Experience Model for High Dynamic Spatio-Temporal Mulsemedia<\/p>\n
\nTowards the Delay Sensitivity of Games: there is more than Genres
\nScoring Voice Likability using Pair-Comparison: Laboratory vs. Crowdsourcing Approach
\nPosition Paper: Quality-of-Experience of Cyber-Physical System Applications
\nTowards the Need Satisfaction in Gaming: A comparison of different gaming platforms
\nDefining the Relevant Perceptual Quality Space for Video and Video-Telephony
\nModelling Speech Service Quality: From Conversational Phases to Communication Quality and Service Quality
\nModeling the Overall Quality of Experience on the Basis of Underlying Quality Dimensions
\nAssessing the impact of inaccurate decision support systems on experts\u2019 behavior and decisions<\/p>\nN<\/h3>\n
\nA Software Radio LTE Network Testbed for Video Quality of Experience Experimentation<\/p>\n
\nQuality of Augmented Reality Experience: A Correlation Analysis<\/p>\n
\nModelling Brightness Perception for High Dynamic Range Television<\/p>\nO<\/h3>\n
\nP.1203 Evaluation of Real OTT Video Services<\/p>\n
\nMeasuring the Added Value of Haptic Feedback<\/p>\n
\nLook Around You: Saliency Maps for Omnidirectional Images in VR Applications<\/p>\nP<\/h3>\n
\nCharacterization and selection of light field content for perceptual assessment<\/p>\n
\nExploring diverse measures for evaluating QoE in the context of WebRTC<\/p>\n
\nSpatial Immersion versus Emotional Immersion, Which is More Immersive?<\/p>\n
\nTowards the Need Satisfaction in Gaming: A comparison of different gaming platforms<\/p>\n
\nNew Emerging Video Coding Performances: 4K Quality Monitoring<\/p>\n
\nModelling Brightness Perception for High Dynamic Range Television<\/p>\n
\nEvaluation of Binaural Reproduction Systems from Behavioral Patterns in a Six-Degrees-of-Freedom Wayfinding Task<\/p>\nQ<\/h3>\n
\nOlfactory-enhanced Multimedia Video Clips Datasets<\/p>\nR<\/h3>\n
\nThe Label Knows Better: The Impact of Labeling Effects on Perceived Quality of HD and UHD Video Streaming
\nA Bitstream-based, Scalable Video-Quality Model for HTTP Adaptive Streaming: ITU-T P.1203.1
\nMeasuring and Comparing QoE and Simulator Sickness of Omnidirectional Videos in Different Head Mounted Displays
\nA Modular HTTP Adaptive Streaming QoE Model \u2013 Candidate for ITU-T P.1203 (\u201cP.NATS\u201d)
\nA Framework for QoE Analysis of Encrypted Videos Streams
\nTesting conversational quality of VoIP with different terminals and degradations<\/p>\n
\nExperimental evaluation of WebRTC voice quality in LTE coverage tests<\/p>\n
\nWhich saliency weighting for omni directional image quality assessment?<\/p>\n
\nA Software Radio LTE Network Testbed for Video Quality of Experience Experimentation<\/p>\n
\nNo-Reference Quality Assessment of Tone Mapped High Dynamic Range (HDR) Images Using Transfer Learning<\/p>\n
\nPerceptual video quality evaluation by means of physiological signals<\/p>\n
\nOn the Performance of Objective Metrics for Omnidirectional Visual Content
\nImpact of interactivity on the assessment of quality of experience for light field content<\/p>\n
\nThe Label Knows Better: The Impact of Labeling Effects on Perceived Quality of HD and UHD Video Streaming
\nA Bitstream-based, Scalable Video-Quality Model for HTTP Adaptive Streaming: ITU-T P.1203.1
\nMeasuring and Comparing QoE and Simulator Sickness of Omnidirectional Videos in Different Head Mounted Displays
\nA Modular HTTP Adaptive Streaming QoE Model \u2013 Candidate for ITU-T P.1203 (\u201cP.NATS\u201d)<\/p>\n
\nEvaluation of Binaural Reproduction Systems from Behavioral Patterns in a Six-Degrees-of-Freedom Wayfinding Task<\/p>\nS<\/h3>\n
\nTowards Subjective Quality of Experience Assessment for Omnidirectional Video Streaming<\/p>\n
\nEvaluation of single-artifact based video quality metrics in video communication context<\/p>\n
\nBlind DIBR-Synthesized Image Quality Assessment based on Sparsity Features in Morphological Multiscale Domain<\/p>\n
\nP.1203 Evaluation of Real OTT Video Services<\/p>\n
\nEmpirical Evaluation of No-Reference VQA Methods on a Natural Video Quality Database
\nThe Konstanz Natural Video Database (KoNViD-1k)<\/p>\n
\nPreference identification for images using the change of the amount of blood in frontal lobe with NIRS<\/p>\n
\nTowards Subjective Quality of Experience Assessment for Omnidirectional Video Streaming
\nPredicting QoE in Cellular Networks using Machine Learning and in-Smartphone Measurements<\/p>\n
\nReduced-Reference Image Quality Assessment based on Internal Generative Mechanism utilizing Shearlets and Renyi Entropy Analysis<\/p>\n
\nDefining the Relevant Perceptual Quality Space for Video and Video-Telephony<\/p>\n
\nEvaluation of Binaural Reproduction Systems from Behavioral Patterns in a Six-Degrees-of-Freedom Wayfinding Task<\/p>\n
\nP.1203 Evaluation of Real OTT Video Services<\/p>\n
\nTowards the Delay Sensitivity of Games: there is more than Genres
\nTowards the Need Satisfaction in Gaming: A comparison of different gaming platforms<\/p>\n
\nPredicting QoE in Cellular Networks using Machine Learning and in-Smartphone Measurements<\/p>\n
\nAssessing the impact of inaccurate decision support systems on experts\u2019 behavior and decisions<\/p>\n
\nA Software Radio LTE Network Testbed for Video Quality of Experience Experimentation<\/p>\n
\nUnperturbed Video Streaming QoE Under Web Page Related Context Factors
\nPredicting QoE in Cellular Networks using Machine Learning and in-Smartphone Measurements
\nUnsupervised QoE Field Study for Mobile YouTube Video Streaming with YoMoApp<\/p>\n
\nMotion Picture Camera Systems \u2013 Defining a Quality Metric for a Creative Tool<\/p>\n
\nPreference identification for images using the change of the amount of blood in frontal lobe with NIRS<\/p>\n
\nNew Emerging Video Coding Performances: 4K Quality Monitoring<\/p>\n
\nMeasuring and Comparing QoE and Simulator Sickness of Omnidirectional Videos in Different Head Mounted Displays<\/p>\n
\nNo Silver Bullet: QoE Metrics, QoE Fairness, and User Diversity in the Context of QoE Management<\/p>\n
\nUnperturbed Video Streaming QoE Under Web Page Related Context Factors<\/p>\n
\nLook Around You: Saliency Maps for Omnidirectional Images in VR Applications<\/p>\n
\nTesting conversational quality of VoIP with different terminals and degradations<\/p>\n
\nSpeech Reaction Time Measurements for the Evaluation of Audio-Visual Spatial Coherence<\/p>\n
\nQuantitative Evaluation of Omnidirectional Video Quality<\/p>\n
\nA Software Radio LTE Network Testbed for Video Quality of Experience Experimentation<\/p>\n
\nPerformance and subjective quality assessment for pick-and-place task with HTC Vive and Oculus Rift<\/p>\n
\nThe Konstanz Natural Video Database (KoNViD-1k)<\/p>\nT<\/h3>\n
\nTowards Subjective Quality of Experience Assessment for Omnidirectional Video Streaming<\/p>\n
\nQoE design tradeoffs for foveated content provision<\/p>\n
\nUnperturbed Video Streaming QoE Under Web Page Related Context Factors
\nPredicting QoE in Cellular Networks using Machine Learning and in-Smartphone Measurements
\nUnsupervised QoE Field Study for Mobile YouTube Video Streaming with YoMoApp<\/p>\nU<\/h3>\n
\nOn the Performance of Objective Metrics for Omnidirectional Visual Content<\/p>\nV<\/h3>\n
\nEffect of Color Space on High Dynamic Range Video Compression Performance<\/p>\n
\nNo Silver Bullet: QoE Metrics, QoE Fairness, and User Diversity in the Context of QoE Management<\/p>\n
\nBlind DIBR-Synthesized Image Quality Assessment based on Sparsity Features in Morphological Multiscale Domain<\/p>\n
\nImpact of interactivity on the assessment of quality of experience for light field content<\/p>\n
\nExploring diverse measures for evaluating QoE in the context of WebRTC<\/p>\nW<\/h3>\n
\nPredicting QoE in Cellular Networks using Machine Learning and in-Smartphone Measurements
\nUnsupervised QoE Field Study for Mobile YouTube Video Streaming with YoMoApp<\/p>\n
\nNo Reference Quality Assessment for Stereoscopic Images by Statistical Features<\/p>\n
\nUnsupervised QoE Field Study for Mobile YouTube Video Streaming with YoMoApp<\/p>\n
\nExploring Users Views On Immersive Adult Entertainment Applications<\/p>\n
\nModelling Speech Service Quality: From Conversational Phases to Communication Quality and Service Quality<\/p>\nY<\/h3>\n
\nNo Reference Quality Assessment for Stereoscopic Images by Statistical Features<\/p>\n
\nAssessment of Lossy Images with Visual Detection and Saccadic Eye Movements<\/p>\nZ<\/h3>\n
\nUnperturbed Video Streaming QoE Under Web Page Related Context Factors<\/p>\n
\nTowards the Delay Sensitivity of Games: there is more than Genres
\nTowards the Need Satisfaction in Gaming: A comparison of different gaming platforms<\/p>\n
\nScoring Voice Likability using Pair-Comparison: Laboratory vs. Crowdsourcing Approach<\/p>\n
\nEffect of Color Space on High Dynamic Range Video Compression Performance<\/p>\n
\nNo-Reference Quality Assessment for JPEG Compressed Images<\/p>\n
\nSpatial Immersion versus Emotional Immersion, Which is More Immersive?<\/p>\n
\nEvaluation of single-artifact based video quality metrics in video communication context<\/p>\n
\nExploring Users Views On Immersive Adult Entertainment Applications<\/p>\n
\nNo-Reference Quality Assessment for JPEG Compressed Images<\/p>\n
\nNo-Reference Quality Assessment for JPEG Compressed Images<\/p>\n
\nCollecting Subjective Ratings in Enterprise Environments<\/p>\n","protected":false},"excerpt":{"rendered":"