Toward a Direct Measure of Video Quality Perception Using EEG
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Scholler, Simon | - |
dc.contributor.author | Bosse, Sebastian | - |
dc.contributor.author | Treder, Matthias Sebastian | - |
dc.contributor.author | Blankertz, Benjamin | - |
dc.contributor.author | Curio, Gabriel | - |
dc.contributor.author | Mueller, Klaus-Robert | - |
dc.contributor.author | Wiegand, Thomas | - |
dc.date.accessioned | 2021-09-06T20:33:03Z | - |
dc.date.available | 2021-09-06T20:33:03Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2012-05 | - |
dc.identifier.issn | 1057-7149 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/108605 | - |
dc.description.abstract | An approach to the direct measurement of perception of video quality change using electroencephalography (EEG) is presented. Subjects viewed 8-s video clips while their brain activity was registered using EEG. The video signal was either uncompressed at full length or changed from uncompressed to a lower quality level at a random time point. The distortions were introduced by a hybrid video codec. Subjects had to indicate whether they had perceived a quality change. In response to a quality change, a positive voltage change in EEG (the so-called P3 component) was observed at latency of about 400-600 ms for all subjects. The voltage change positively correlated with the magnitude of the video quality change, substantiating the P3 component as a graded neural index of the perception of video quality change within the presented paradigm. By applying machine learning techniques, we could classify on a single-trial basis whether a subject perceived a quality change. Interestingly, some video clips wherein changes were missed (i.e., not reported) by the subject were classified as quality changes, suggesting that the brain detected a change, although the subject did not press a button. In conclusion, abrupt changes of video quality give rise to specific components in the EEG that can be detected on a single-trial basis. Potentially, a neurotechnological approach to video assessment could lead to a more objective quantification of quality change detection, overcoming the limitations of subjective approaches (such as subjective bias and the requirement of an overt response). Furthermore, it allows for real-time applications wherein the brain response to a video clip is monitored while it is being viewed. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | BRAIN-COMPUTER INTERFACE | - |
dc.subject | TASK-DIFFICULTY | - |
dc.subject | P300 | - |
dc.subject | CLASSIFICATION | - |
dc.subject | P3A | - |
dc.title | Toward a Direct Measure of Video Quality Perception Using EEG | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Mueller, Klaus-Robert | - |
dc.identifier.doi | 10.1109/TIP.2012.2187672 | - |
dc.identifier.scopusid | 2-s2.0-84860112691 | - |
dc.identifier.wosid | 000304160800022 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON IMAGE PROCESSING, v.21, no.5, pp.2619 - 2629 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON IMAGE PROCESSING | - |
dc.citation.title | IEEE TRANSACTIONS ON IMAGE PROCESSING | - |
dc.citation.volume | 21 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 2619 | - |
dc.citation.endPage | 2629 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | BRAIN-COMPUTER INTERFACE | - |
dc.subject.keywordPlus | TASK-DIFFICULTY | - |
dc.subject.keywordPlus | P300 | - |
dc.subject.keywordPlus | CLASSIFICATION | - |
dc.subject.keywordPlus | P3A | - |
dc.subject.keywordAuthor | Electroencephalography (EEG) | - |
dc.subject.keywordAuthor | perception | - |
dc.subject.keywordAuthor | video coding | - |
dc.subject.keywordAuthor | video quality | - |
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