Machine learning based reduced reference bitstream audiovisual quality prediction models for realtime communications

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Demirbilek:2017:ieeeICME,

• author = "Edip Demirbilek and Jean-Charles Gregoire",
• booktitle = "2017 IEEE International Conference on Multimedia and Expo (ICME)",
• title = "Machine learning based reduced reference bitstream audiovisual quality prediction models for realtime communications",
• year = "2017",
• pages = "571--576",
• abstract = "Perceived quality prediction models for multimedia services vary greatly depending on the type of the data and on the amount of information related to the original signal used. In this research, we have developed machine learning-based reduced-reference bitstream audiovisual quality prediction models by using the parametric version of the publicly available INRS audiovisual quality dataset. As that original INRS dataset did not contain bitstream information but provided both reference and transmitted videos, we have computed its bitstream version to develop the reduced-reference bitstream models. We have compared the performance of the Decision Trees based ensemble methods, Genetic Programming and Deep Learning models on this bitstream version of the dataset and have also compared these results with the results of the no-reference parametric models on the parametric version of the dataset. Decision Trees based ensemble methods outperformed Deep Learning and Genetic Programming based models when reduced-reference bitstream data was used and outperformed all existing no-reference parametric models that were trained and tested on the parametric version of the dataset. Our studies show that Decision Trees based approaches are well suited for no-reference parametric models as well as for reduced-reference bitstream models.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/ICME.2017.8019462",
• month = jul,
• notes = "Also known as \cite{8019462}",

}

Genetic Programming entries for Edip Demirbilek Jean-Charles Gregoire

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