Affective pattern analysis of image in frequency domain using the Hilbert-Huang Transform

Poming Lee; Wei Hsuan Tsui; Yun Teng; Tzu-Chien Hsiao

doi:10.1109/APCCAS.2012.6419123

Affective pattern analysis of image in frequency domain using the Hilbert-Huang Transform

Poming Lee^*, Wei Hsuan Tsui, Yun Teng, Tzu-Chien Hsiao

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012
Pages	667-670
Number of pages	4
DOIs	https://doi.org/10.1109/APCCAS.2012.6419123
State	Published - 1 Dec 2012
Event	2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012 - Kaohsiung, Taiwan Duration: 2 Dec 2012 → 5 Dec 2012

Publication series

Name	IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

Conference

Conference	2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012
Country/Territory	Taiwan
City	Kaohsiung
Period	2/12/12 → 5/12/12

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10.1109/APCCAS.2012.6419123

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Lee, P., Tsui, W. H., Teng, Y., & Hsiao, T.-C. (2012). Affective pattern analysis of image in frequency domain using the Hilbert-Huang Transform. In 2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012 (pp. 667-670). Article 6419123 (IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS). https://doi.org/10.1109/APCCAS.2012.6419123

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title = "Affective pattern analysis of image in frequency domain using the Hilbert-Huang Transform",

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.",

author = "Poming Lee and Tsui, {Wei Hsuan} and Yun Teng and Tzu-Chien Hsiao",

year = "2012",

month = dec,

day = "1",

doi = "10.1109/APCCAS.2012.6419123",

language = "English",

isbn = "9781457717291",

series = "IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS",

pages = "667--670",

booktitle = "2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012",

note = "2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012 ; Conference date: 02-12-2012 Through 05-12-2012",

}

Lee, P, Tsui, WH, Teng, Y & Hsiao, T-C 2012, Affective pattern analysis of image in frequency domain using the Hilbert-Huang Transform. in 2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012., 6419123, IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS, pp. 667-670, 2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012, Kaohsiung, Taiwan, 2/12/12. https://doi.org/10.1109/APCCAS.2012.6419123

Affective pattern analysis of image in frequency domain using the Hilbert-Huang Transform. / Lee, Poming; Tsui, Wei Hsuan; Teng, Yun et al.
2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012. 2012. p. 667-670 6419123 (IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Affective pattern analysis of image in frequency domain using the Hilbert-Huang Transform

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