Tackling the sheer scale of subjective QoE

Menkovski, V.; Exarchakos, G.; Liotta, A.

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.

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: 7th International ICST Conference, MOBIMEDIA 2011
• Start Date: Sep 5, 2011
• End Date: Sep 7, 2011
• Publication Date: 2012
• Deposit Date: Dec 4, 2019
• Publisher: Springer
• Pages: 1-15
• Series Title: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
• Series Number: 79
• Series ISSN: 1867-8211
• Book Title: Mobile Multimedia Communications
• ISBN: 978-3-642-30418-7
• DOI: https://doi.org/10.1007/978-3-642-30419-4_1
• Public URL: http://researchrepository.napier.ac.uk/Output/1995686