A novel strategy for classifying perceived video quality using electroencephalography signals-Reference-Cited by-同舟云学术

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A novel strategy for classifying perceived video quality using electroencephalography signals

Published:2020-06 Issue: Volume:92 Page:103692
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Chan Kit Yan,Arndt Sebastian,Engelke Ulrich

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference39 articles.

1. Neural Correlates of Quality Perception for Complex Speech Signals;Antons,2015

2. Analyzing speech quality perception using electroencephalography;Antons;IEEE J. Sel. Topics Signal Proc.,2012

3. Using electroencephalography to measure perceived video quality;Arndt;IEEE J. Sel. Top. Signal Process.,2014

4. A training algorithm for optimal margin classifiers;Boser,1992

5. Statistics for Experiments: Design, Innovation, and Discovery;Box,2005

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2. Towards better video services: An EEG-based interpretable model for functional quality of experience evaluation;Displays;2024-04

3. BiLSTM-based Quality of Experience Prediction using Physiological Signals;2022 14th International Conference on Quality of Multimedia Experience (QoMEX);2022-09-05

4. Dimensionality reduction of independent influence factors in the objective evaluation of quality of experience;Scientific Reports;2022-06-20

5. Neural evidence for image quality perception based on algebraic topology;PLOS ONE;2021-12-16

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