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

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

7 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/Territory	Australia
City	Brisbane
Period	15/10/26 → 15/10/30

Bibliographical note

Publisher Copyright:
© 2015 ACM.

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

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.",

keywords = "Brain connectivity, EEG, High dynamic range (HDR), Quality of experience (QoE)",

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

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

year = "2015",

month = oct,

day = "13",

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

TY - GEN

T1 - EEG connectivity analysis in perception of tone-mapped high dynamic range videos

AU - Moon, Seong Eun

AU - Lee, Jong Seok

PY - 2015/10/13

Y1 - 2015/10/13

N2 - 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.

AB - 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.

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KW - EEG

KW - High dynamic range (HDR)

KW - Quality of experience (QoE)

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ER -

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

Abstract

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All Science Journal Classification (ASJC) codes

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