TY - GEN
T1 - EEG connectivity analysis in perception of tone-mapped high dynamic range videos
AU - Moon, Seong Eun
AU - Lee, Jong Seok
N1 - Publisher Copyright:
© 2015 ACM.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
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.
UR - http://www.scopus.com/inward/record.url?scp=84962886788&partnerID=8YFLogxK
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U2 - 10.1145/2733373.2806382
DO - 10.1145/2733373.2806382
M3 - Conference contribution
AN - SCOPUS:84962886788
T3 - MM 2015 - Proceedings of the 2015 ACM Multimedia Conference
SP - 987
EP - 990
BT - MM 2015 - Proceedings of the 2015 ACM Multimedia Conference
PB - Association for Computing Machinery, Inc
T2 - 23rd ACM International Conference on Multimedia, MM 2015
Y2 - 26 October 2015 through 30 October 2015
ER -