EEG connectivity analysis in perception of tone-mapped high dynamic range videos

Seong Eun Moon, Jong Seok Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

High dynamic range (HDR) imaging has attracted attention as a new technology for immersive multimedia experience. In comparison to conventional low dynamic range (LDR) contents, HDR contents are expected to provide better qual-ity of experience (QoE). In this paper, we investigate implicit QoE measurement of tone-mapped HDR videos by using connectivity-based EEG features that convey information about simultaneous activations of different brain regions and thus can explain better the cognitive process than the con-ventional features using single channel powers. Through the experiment classifying EEG signals into tone-mapped HDR and LDR, it is shown that the connectivity features, particu-larly those representing directed information ows between brain regions, are effective in both subject-dependent and subject-independent scenarios.

Original languageEnglish
Title of host publicationMM 2015 - Proceedings of the 2015 ACM Multimedia Conference
PublisherAssociation for Computing Machinery, Inc
Pages987-990
Number of pages4
ISBN (Electronic)9781450334594
DOIs
Publication statusPublished - 2015 Oct 13
Event23rd ACM International Conference on Multimedia, MM 2015 - Brisbane, Australia
Duration: 2015 Oct 262015 Oct 30

Publication series

NameMM 2015 - Proceedings of the 2015 ACM Multimedia Conference

Other

Other23rd ACM International Conference on Multimedia, MM 2015
CountryAustralia
CityBrisbane
Period15/10/2615/10/30

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software

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    Moon, S. E., & Lee, J. S. (2015). EEG connectivity analysis in perception of tone-mapped high dynamic range videos. In MM 2015 - Proceedings of the 2015 ACM Multimedia Conference (pp. 987-990). (MM 2015 - Proceedings of the 2015 ACM Multimedia Conference). Association for Computing Machinery, Inc. https://doi.org/10.1145/2733373.2806382