Assessment of Machine Learning-Based Audiovisual Quality Predictors
暂无分享,去创建一个
[1] Marie-Neige Garcia. Parametric Packet-Based Audiovisual Quality Model for Iptv Services , 2014 .
[2] Lea Skorin-Kapov,et al. A Survey of Emerging Concepts and Challenges for QoE Management of Multimedia Services , 2018, ACM Trans. Multim. Comput. Commun. Appl..
[3] Tetsuya Ogata,et al. Audio-visual speech recognition using deep learning , 2014, Applied Intelligence.
[4] Benjamin Belmudez. Audiovisual Quality Assessment and Prediction for Videotelephony , 2014 .
[5] Jaime S. Cardoso,et al. Machine Learning Interpretability: A Survey on Methods and Metrics , 2019, Electronics.
[6] Abdulmotaleb El-Saddik,et al. A Quality of Experience Model for Haptic Virtual Environments , 2014, TOMCCAP.
[7] Jean-Charles Grégoire,et al. Perceived Audiovisual Quality Modelling based on Decison Trees, Genetic Programming and Neural Networks , 2017, ArXiv.
[8] Jari Korhonen,et al. Audiovisual quality fusion based on relative multimodal complexity , 2011, 2011 18th IEEE International Conference on Image Processing.
[9] Weisi Lin,et al. Objective Image Quality Assessment Based on Support Vector Regression , 2010, IEEE Transactions on Neural Networks.
[10] Shu Yang,et al. An Audio-Visual Quality Assessment Methodology in Virtual Reality Environment , 2018, 2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).
[11] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[12] MunteanGabriel-Miro,et al. User Quality of Experience of Mulsemedia Applications , 2014 .
[13] Miska M. Hannuksela,et al. Perceptual-based quality assessment for audio-visual services: A survey , 2010, Signal Process. Image Commun..
[14] Mylène C. Q. Farias,et al. Combining audio and video metrics to assess audio-visual quality , 2018, Multimedia Tools and Applications.
[15] Jean-Charles Grégoire,et al. Machine Learning--Based Parametric Audiovisual Quality Prediction Models for Real-Time Communications , 2017, ACM Trans. Multim. Comput. Commun. Appl..
[16] Alexander Raake,et al. Impairment-Factor-Based Audiovisual Quality Model for IPTV: Influence of Video Resolution, Degradation Type, and Content Type , 2011, EURASIP J. Image Video Process..
[17] Jean-Charles Grégoire,et al. INRS Audiovisual Quality Dataset , 2016, ACM Multimedia.
[18] D. Ruppert. The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2004 .
[19] Eirini Liotou,et al. No-reference video quality measurement: added value of machine learning , 2015, J. Electronic Imaging.
[20] Margaret H. Pinson,et al. Audiovisual Quality Components , 2011, IEEE Signal Processing Magazine.
[21] Gozde Bozdagi Akar,et al. Video content analysis method for audiovisual quality assessment , 2016, 2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX).
[22] Manish Narwaria,et al. Toward Better Statistical Validation of Machine Learning-Based Multimedia Quality Estimators , 2018, IEEE Transactions on Broadcasting.
[23] Yoshua Bengio,et al. Random Search for Hyper-Parameter Optimization , 2012, J. Mach. Learn. Res..
[24] K. Pearson. Mathematical Contributions to the Theory of Evolution. III. Regression, Heredity, and Panmixia , 1896 .
[25] Luigi Atzori,et al. Editorial: Special Issue on “QoE Monitoring and Management for Future Internet Media Services” , 2017, Multimedia Tools and Applications.
[26] Jean-Charles Grégoire,et al. Machine learning based reduced reference bitstream audiovisual quality prediction models for realtime communications , 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).
[27] George G. Roussas,et al. An Introduction to Probability and Statistical Inference , 2011 .
[28] James Nightingale,et al. 5G-QoE: QoE Modelling for Ultra-HD Video Streaming in 5G Networks , 2018, IEEE Transactions on Broadcasting.
[29] Lea Skorin-Kapov,et al. Game Categorization for Deriving QoE-Driven Video Encoding Configuration Strategies for Cloud Gaming , 2018, ACM Trans. Multim. Comput. Commun. Appl..
[30] Mylène C. Q. Farias,et al. How Deep is Your Encoder: An Analysis of Features Descriptors for an Autoencoder-Based Audio-Visual Quality Metric , 2020, 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX).
[31] Tianqi Chen,et al. XGBoost: A Scalable Tree Boosting System , 2016, KDD.
[32] Alexander Raake,et al. At home in the lab: Assessing audiovisual quality of HTTP-based adaptive streaming with an immersive test paradigm , 2015, 2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX).
[33] Alexander Raake,et al. Parametric audio quality model for IPTV services - ITU-T P.1201.2 audio , 2013, 2013 Fifth International Workshop on Quality of Multimedia Experience (QoMEX).
[34] Tiago H. Falk,et al. Audio-Visual Multimedia Quality Assessment: A Comprehensive Survey , 2017, IEEE Access.
[35] Christopher M. Bishop,et al. Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .
[36] Matti Siekkinen,et al. Can You See What I See? Quality-of-Experience Measurements of Mobile Live Video Broadcasting , 2018, ACM Trans. Multim. Comput. Commun. Appl..
[37] Alexander Raake,et al. Parametric model for audiovisual quality assessment in IPTV: ITU-T Rec. P.1201.2 , 2013, 2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP).
[38] Filip De Turck,et al. Quality of Experience-Centric Management of Adaptive Video Streaming Services , 2018, ACM Trans. Multim. Comput. Commun. Appl..
[39] Alexander Raake,et al. Audiovisual quality integration: Comparison of human-human and human-machine interaction scenarios of different interactivity , 2010, 2010 Second International Workshop on Quality of Multimedia Experience (QoMEX).
[40] Mylène C. Q. Farias,et al. NAViDAd: A No-Reference Audio-Visual Quality Metric Based on a Deep Autoencoder , 2019, 2019 27th European Signal Processing Conference (EUSIPCO).
[41] José C. López-Ardao,et al. Enhancements to the opinion model for video-telephony applications , 2009, LANC.
[42] Shin-ichiro Iwamiya,et al. Interactions between auditory and visual processing when listening to music in an audiovisual context : 1. Matching 2. Audio quality , 1994 .
[43] Paolo Gastaldo,et al. Objective quality assessment of MPEG-2 video streams by using CBP neural networks , 2002, IEEE Trans. Neural Networks.