Research Article
Tackling the Sheer Scale of Subjective QoE
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@INPROCEEDINGS{10.1007/978-3-642-30419-4_1, author={Vlado Menkovski and Georgios Exarchakos and Antonio Liotta}, title={Tackling the Sheer Scale of Subjective QoE}, proceedings={Mobile Multimedia Communications. 7th International ICST Conference, MOBIMEDIA 2011, Cagliari, Italy, September 5-7, 2011, Revised Selected Papers}, proceedings_a={MOBIMEDIA}, year={2012}, month={5}, keywords={Maximum Likelihood Difference Scaling adaptive MLDS Video Quality Assessment Quality of Experience QoE}, doi={10.1007/978-3-642-30419-4_1} }- Vlado Menkovski
Georgios Exarchakos
Antonio Liotta
Year: 2012
Tackling the Sheer Scale of Subjective QoE
MOBIMEDIA
Springer
DOI: 10.1007/978-3-642-30419-4_1
Abstract
Maximum Likelihood Difference Scaling (MLDS) used as a method for subjective assessment of video quality alleviates the inconveniencies associated with high variation and biases common in rating methods. However, the number of tests in a MLDS study rises fairly quickly with the number of samples that we want to test. This makes the MLDS studies not scalable for the diverse video delivery environments commonly met in pervasive media networks. To tackle this issue we have developed an active learning approach that decreases the number of MLDS tests and improves the scalability of this method.
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