Regularized Maximum Likelihood Estimation of the Subjective Quality from Noisy Individual Ratings
Author:
Affiliation:
1. Politecnico di Torino,Control and Computer Engineering Department,Torino,Italy
2. Deggendorf Institute of Technology, University of Applied Sciences,Deggendorf,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9900491/9900873/09900903.pdf?arnumber=9900903
Reference8 articles.
1. A Probabilistic Graphical Model for Analyzing the Subjective Visual Quality Assessment Data from Crowdsourcing
2. Recover Subjective Quality Scores from Noisy Measurements
3. Estimation of quality scores from subjective tests: beyond subjects' mos;pezzulli;IEEE Transactions on Multimedia,2020
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