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

Seong Eun Moon; Jong Seok Lee

doi:10.1145/2733373.2806382

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

Seong Eun Moon, Jong Seok Lee

School of Integrated Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 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 language	English
Title of host publication	MM 2015 - Proceedings of the 2015 ACM Multimedia Conference
Publisher	Association for Computing Machinery, Inc
Pages	987-990
Number of pages	4
ISBN (Electronic)	9781450334594
DOIs	https://doi.org/10.1145/2733373.2806382
Publication status	Published - 2015 Oct 13
Event	23rd ACM International Conference on Multimedia, MM 2015 - Brisbane, Australia Duration: 2015 Oct 26 → 2015 Oct 30

Publication series

Name	MM 2015 - Proceedings of the 2015 ACM Multimedia Conference

Other

Other	23rd ACM International Conference on Multimedia, MM 2015
Country	Australia
City	Brisbane
Period	15/10/26 → 15/10/30

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1145/2733373.2806382

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Cite this

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title = "EEG connectivity analysis in perception of tone-mapped high dynamic range videos",

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.",

author = "Moon, {Seong Eun} and Lee, {Jong Seok}",

note = "Publisher Copyright: {\textcopyright} 2015 ACM. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 23rd ACM International Conference on Multimedia, MM 2015 ; Conference date: 26-10-2015 Through 30-10-2015",

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doi = "10.1145/2733373.2806382",

language = "English",

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Moon, SE & Lee, JS 2015, EEG connectivity analysis in perception of tone-mapped high dynamic range videos. in MM 2015 - Proceedings of the 2015 ACM Multimedia Conference. MM 2015 - Proceedings of the 2015 ACM Multimedia Conference, Association for Computing Machinery, Inc, pp. 987-990, 23rd ACM International Conference on Multimedia, MM 2015, Brisbane, Australia, 15/10/26. https://doi.org/10.1145/2733373.2806382

EEG connectivity analysis in perception of tone-mapped high dynamic range videos. / Moon, Seong Eun; Lee, Jong Seok.

MM 2015 - Proceedings of the 2015 ACM Multimedia Conference. Association for Computing Machinery, Inc, 2015. p. 987-990 (MM 2015 - Proceedings of the 2015 ACM Multimedia Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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