Predicting personal preferences in subjective video quality assessment

Jari Korhonen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

In this paper, we study the problem of predicting the visual quality of a specific test sample (e.g. a video clip) experienced by a specific user, based on the ratings by other users for the same sample and the same user for other samples. A simple linear model and algorithm is presented, where the characteristics of each test sample are represented by a set of parameters, and the individual preferences are represented by weights for the parameters. According to the validation experiment performed on public visual quality databases annotated with raw individual scores, the proposed model can predict the scores by individuals more accurately than the average score for the respective sample computed from the scores given by other individuals. In many cases, the proposed algorithm also outperforms more generic Parametric Probabilistic Matrix Factorization (PPMF) technique developed for collaborative filtering in recommendation systems.
Original languageEnglish
Title of host publicationProceedings of 2017 Ninth International Conference on Quality of Multimedia Experience
Number of pages6
PublisherIEEE
Publication date2017
Pages1-6
ISBN (Print)978-1-5386-4024-1
DOIs
Publication statusPublished - 2017
Event9th International Conference on Quality of Multimedia Experience - Erfurt, Germany
Duration: 31 May 20172 Jun 2017

Conference

Conference9th International Conference on Quality of Multimedia Experience
CountryGermany
CityErfurt
Period31/05/201702/06/2017
Series2017 Ninth International Conference on Quality of Multimedia Experience (qomex)
ISSN2472-7814

Keywords

  • Quality assessment
  • Mathematical model
  • Visualization
  • Prediction algorithms
  • Measurement
  • Computational modeling
  • Predictive models
  • subjective quality assessment
  • individual characteristics
  • collaborative filtering

Cite this

Korhonen, J. (2017). Predicting personal preferences in subjective video quality assessment. In Proceedings of 2017 Ninth International Conference on Quality of Multimedia Experience (pp. 1-6). IEEE. 2017 Ninth International Conference on Quality of Multimedia Experience (qomex) https://doi.org/10.1109/QoMEX.2017.7965677