Quality of Experience

Summary

The field of multimedia processing deals with signals that are meant for human consumption and interaction. These signals usually go through many processing stages before consumption by a human including acquisition, coding, transmission, enhancement and restitution. Each of these stages may degrade the quality of the multimedia presentation and introduce distortions that may decrease the quality of experience for the observer. Other end-to-end issues, such as delays in the interactions, and overall usability and context related issues can further have an impact of the quality of experience perceived by the end user. Traditionally, multimedia content and service providers have addressed these issues by the notion of Quality of Service (QoS) that objectively measures and guarantees service-related characteristics from the provider perspective. Recently, the focus has shifted towards Quality of Experience (QoE) that is more related to the subjective measurement of how a user values some multimedia service. The International Telecommunication Union defines QoE as: “The overall acceptability of  an application or service, as perceived subjectively by the end-user.” Since QoE is something that is created in the users mind, it is more a qualitative measure than a quantitative one. Therefore it requires comprehensive subjective quality assessment methodologies and objective quality assessment metrics that model the human perception as closely as possible, taking also into account end-to-end system issues, environmental context, and user preference among others.

Subjective quality assessment
Objective quality assessment
3D quality assessment
Datasets

 

Recent publications

  • Subjective evaluation of scalable video coding for content distribution, J.S. Lee, F. De Simone, N. Ramzan, Z. Zhao, E. Kurutepe, T. Sikora, J. Ostermann, E. Izquierdo and T. Ebrahimi, Proceedings of the ACM International Conference on Multimedia (2010) [ text ] [  slides ] [ dataset ]
  • Gesture and Touch Controlled Video Player Interface for Mobile Devices, S. Buchinger, F. De Simone, E. Hotop, H. Hlavacs and T. Ebrahimi, Proceedings of the ACM International Conference on Multimedia (2010)
  • Subjective Evaluation of Next-Generation Video Compression Algorithms: A Case Study, F. De Simone, L. Goldmann, J.-S. Lee, T. Ebrahimi and V. Baronicni, Proceedings of SPIE Optics and Photonic, Applications of Digital Image Processing XXXIII, 7798 (2010) [ text ] [ slides ]
  • Impact of video transcoding artifacts on the subjective quality, L. Goldmann, F. De Simone, F. Dufaux, T. Ebrahimi, R. Tanner and M. Lattuada, Proceedings of the Second International Workshop on Quality of Multimedia Experience, 1, 52-57 (2010) [ text ]
  • H.264/AVC video database for the evaluation of quality metrics, F. De Simone, M. Tagliasacchi, M. Naccari, S. Tubaro and T. Ebrahimi, Proceedings of the 35th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010) (2010) [ text ]
  • On the Limits of Perceptually Optimized JPEG, F. De Simone, L. Goldmann, D. Filimonov and T. Ebrahimi, Fifth International Workshop on Video Processing and Quality Metrics for Consumer Electronics (VPQM-10) (2010) [ text ]
  • Subjective evaluation of JPEG XR image compression, F. De Simone, L. Goldmann, V. Baroncini and T. Ebrahimi, Proceedings of SPIE, 7443 (2009) [ text ]
  • Influence of audio-visual attention on perceived quality of standard definition multimedia content, J.-S. Lee, F. De Simone and T. Ebrahimi, Proceedings of the International Workshop on Quality of Multimedia Experience (QoMEX 2009), 13-18 (2009) [ text ] [ slides ]
  • Subjective assessment of H.264/AVC video sequences transmitted over a noisy channel, F. De Simone, M. Naccari, M. Tagliasacchi, F. Dufaux, S. Tubaro and T. Ebrahimi, Proceedings of the First International Workshop on Quality of Multimedia Experience (QoMEX 2009) (2009) [ text ]
  • Efficient video coding in H.264/AVC by using audio-visual information, J.-S. Lee and T. Ebrahimi, Proceedings of the IEEE Workshop on Multimedia Signal Processing (MMSP 2009) (2009) [ text ] [ slides ]
  • Video coding based on audio-visual attention, J.-S. Lee, F. De Simone and T. Ebrahimi, Proceedings of the IEEE International Conference on Multimedia and Expo (ICME’09) (2009) [ text ] [ slides ]

Contact person

Prof. Dr. Touradj Ebrahimi