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

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DC Field	Value	Language
dc.contributor.author	Lee, Poming	en_US
dc.contributor.author	Tsui, Wei-Hsuan	en_US
dc.contributor.author	Teng, Yun	en_US
dc.contributor.author	Hsiao, Tzu-Chien	en_US
dc.date.accessioned	2014-12-08T15:30:04Z	-
dc.date.available	2014-12-08T15:30:04Z	-
dc.date.issued	2012	en_US
dc.identifier.isbn	978-1-4577-1728-4	en_US
dc.identifier.uri	http://hdl.handle.net/11536/21532	-
dc.description.abstract	This 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.language.iso	en_US	en_US
dc.title	Affective Pattern Analysis of Image in Frequency Domain Using the Hilbert-Huang Transform	en_US
dc.type	Proceedings Paper	en_US
dc.identifier.journal	2012 IEEE ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS (APCCAS)	en_US
dc.citation.spage	667	en_US
dc.citation.epage	670	en_US
dc.contributor.department	資訊工程學系	zh_TW
dc.contributor.department	Department of Computer Science	en_US
dc.identifier.wosnumber	WOS:000316598900168	-
Appears in Collections:	Conferences Paper