Tackling the sheer scale of subjective QoE

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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.
Original languageEnglish
Title of host publicationMobile Multimedia Communications (7th International ICST Conference, MOBIMEDIA 2011, Cagliari, Italy, September 5-7, 2011, Revised Selected Papers)
EditorsL. Atzoni, J. Delgado, D.D. Giusto
Place of PublicationBerlin
ISBN (Print)978-3-642-30418-7
Publication statusPublished - 2012
Event7th International ICST Conference Mobile Multimedia Communications (Mobimedia 2011) - Calgari, Italy
Duration: 5 Sept 20117 Sept 2011
Conference number: 7

Publication series

NameLecture Notes of the Institute for Computer Sciences : Social Informatics and Telecommunications Engineering
ISSN (Print)1867-8211


Conference7th International ICST Conference Mobile Multimedia Communications (Mobimedia 2011)
Abbreviated titleMobimedia 2011


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