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Affective Pattern Analysis of Image in Frequency Domain Using the Hilbert-Huang Transform

dc.citation.epage670en_US
dc.citation.spage667en_US
dc.contributor.authorLee, Pomingen_US
dc.contributor.authorTsui, Wei-Hsuanen_US
dc.contributor.authorTeng, Yunen_US
dc.contributor.authorHsiao, Tzu-Chienen_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.date.accessioned2014-12-08T15:30:04Z
dc.date.available2014-12-08T15:30:04Z
dc.date.issued2012en_US
dc.description.abstractThis study applied Hilbert-Huang Transform (HHT) on spatial-frequency analysis on affective picture classification. The obtained results demonstrate the existence of affective characteristics in spatial-frequency domain of an image, and also found the horizontal visual stimulations are slightly more effective than vertical visual stimulation on emotion elicitation in regard to valence.en_US
dc.identifier.isbn978-1-4577-1728-4en_US
dc.identifier.journal2012 IEEE ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS (APCCAS)en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/21532
dc.identifier.wosnumberWOS:000316598900168
dc.language.isoen_USen_US
dc.titleAffective Pattern Analysis of Image in Frequency Domain Using the Hilbert-Huang Transformen_US
dc.typeProceedings Paperen_US

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