Visual Quality Assessment & QoE

Quality of Experience (QoE) describes the overall experience of a user consuming/experiencing stimuli or as defined by Qualinet “the degree of delight or annoyance of the user of an application or service. It results from the fulfilment of his or her expectations with respect to the utility and/or enjoyment of the application or service in the light of the users’ personality and current state”. QoE is commonly assessed using standardised subjective testing methodologies.

Even though there is some discussion in how far theses existing methodologies allow for QoE assessment, the use of standardised subjective testing methods is still the usual approach to assess the QoE. In my contributions, I examined aspects of subjective testing methods and their influence on the testing results, in particular if the proscribed testing environments in the standards are necessary. Moreover, I contributed to the Qualinet QoE definition and created the TUM data sets for use in the research on video quality metrics.

Key publications:

Evaluation of video quality fluctuations using pattern categorisation, Quality of Multimedia Experience (QoMEX), 2014 Sixth International Workshop on, pp. 117-122, 2014.

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The TUM High Definition Video Data Sets, Fourth International Workshop on Quality of Multimedia Experience (QoMEX 2012), pp. 91-102, 2012. ISBN 978-1-4673-0725-3.

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Qualinet White Paper on Definitions of Quality of Experience, 2013.

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Analysis of coexistence of Ginga and HbbTV in DVB and ISDB-Tb, Consumer Electronics - Berlin (ICCE-Berlin), 2014 IEEE Fourth International Conference on, pp. 83-87, 2014.

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Christian Keimel
Christian Keimel
Artificial Intelligence Research Project Leader

My research interests include AI/Machine Learning in the context of Visual Information Processing.