Active Learning for Crowdsourced QoE Modeling

Quality of experience (QoE) models predict the subjective quality of multimedia based on the relevant quality of service (QoS) factors. Due to the large space of QoS factors and the high costs of conducting subjective tests, efficient sampling strategies are required to determine which QoS configura...

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Bibliographic Details
Published in:	IEEE transactions on multimedia Vol. 20; no. 12; pp. 3337 - 3352
Main Authors:	Chang, Haw-Shiuan, Hsu, Chih-Fan, Hosfeld, Tobias, Chen, Kuan-Ta
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.12.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Active learning Algorithms Computer simulation Crowdsourcing Habituation (learning) IQX and MIQX model Machine learning maximin sampling multidimensional QoS-QoE model Multimedia Multimedia communication Quality assessment Quality of experience Quality of service Random sampling Sampling methods Streaming media video quality assessment
ISSN:	1520-9210, 1941-0077
Online Access:	Get full text
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