DocumentCode :
3251760
Title :
EEG and the human perception of video quality: Impact of channel selection on discrimination
Author :
Davis, Peter ; Creusere, Charles D. ; Kroger, Jim
Author_Institution :
New Mexico State Univ., Las Cruces, NM, USA
fYear :
2013
fDate :
3-5 Dec. 2013
Firstpage :
9
Lastpage :
12
Abstract :
The ultimate goal of our research project is to quantify the human perception of video quality directly from brain responses. Specifically, subjects watch a set of video sequences whose qualities vary with time while their brain responses are monitored using a 128-channel electroencephalograph (EEG). We compare four potential sets of time-localized feature vectors-autoregressive coefficients, average time-frequency power, Cepstral coefficients, and entropy-using optimal discriminant formation and LDA-based classification. Of particular interest here is determining which subsets of electrodes provide the most useful information with respect to the different possible sets of feature vectors for discrimination and, ultimately, classification.
Keywords :
autoregressive processes; cepstral analysis; electroencephalography; medical signal processing; signal classification; video signal processing; EEG; LDA-based classification; autoregressive coefficients; average time-frequency power; brain response; cepstral coefficients; channel selection; electroencephalograph; human perception; optimal discriminant formation; time-localized feature vectors; video quality; video sequences; Degradation; Electrodes; Electroencephalography; Entropy; Quality assessment; Vectors; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/GlobalSIP.2013.6736798
Filename :
6736798
Link To Document :
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