Assessing Perceived Image Quality Using Steady-State Visual Evoked Potentials and Spatio-Spectral Decomposition

Sebastian Bosse, Laura Acqualagna, Wojciech Samek, Anne K. Porbadnigk, Gabriel Curio, Benjamin Blankertz, Klaus Muller, Thomas Wiegand

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Steady-state visual evoked potentials (SSVEPs) are neural responses, measurable using electroencephalography (EEG), that are directly linked to sensory processing of visual stimuli. In this paper, SSVEP is used to assess the perceived quality of texture images. The EEG-based assessment method is compared with conventional methods, and recorded EEG data are correlated to obtained mean opinion scores (MOSs). A dimensionality reduction technique for EEG data called spatio-spectral decomposition (SSD) is adapted for the SSVEP framework and used to extract physiologically meaningful and plausible neural components from the EEG recordings. It is shown that the use of SSD not only increases the correlation between neural features and MOS to r=-0.93 , but also solves the problem of channel selection in an EEG-based image-quality assessment.

Original languageEnglish
Article number7902111
Pages (from-to)1694-1706
Number of pages13
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume28
Issue number8
DOIs
Publication statusPublished - 2018 Aug 1

Keywords

  • classification
  • EEG
  • MOS
  • spatio-spectral decomposition
  • SSVEP
  • video quality assessment

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering

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    Bosse, S., Acqualagna, L., Samek, W., Porbadnigk, A. K., Curio, G., Blankertz, B., Muller, K., & Wiegand, T. (2018). Assessing Perceived Image Quality Using Steady-State Visual Evoked Potentials and Spatio-Spectral Decomposition. IEEE Transactions on Circuits and Systems for Video Technology, 28(8), 1694-1706. [7902111]. https://doi.org/10.1109/TCSVT.2017.2694807