Abstract
It is becoming important to realize a cross-cultural communication environment among societies with different cultures. Images are effective media for exchanging cultural characteristics across cultures. This paper presents a culture-dependent color-emotion model for cross-culture oriented image retrieval system that realizes color-emotion spaces to search images with human emotion aspects. Many image retrieval systems have been featured by color analysis, but culture-dependent aspects of images are not considered intensively. Our system creates color impression spaces based on Ekman's 17 basic emotions. For the first step, the culture-dependent color impression space is created by using cultural-features. We apply automatic clustering using our previous method "Valley Tracing" in order to generate dynamic representative colors. This system automatically creates a set of culture-dependent color impression metadata.
| Original language | English |
|---|---|
| Title of host publication | Frontiers in Artificial Intelligence and Applications |
| Pages | 333-343 |
| Number of pages | 11 |
| Volume | 225 |
| DOIs | |
| Publication status | Published - 2011 |
Publication series
| Name | Frontiers in Artificial Intelligence and Applications |
|---|---|
| Volume | 225 |
| ISSN (Print) | 09226389 |
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Keywords
- color-emotion based image search
- culture-dependent color-emotion
- emotion information
ASJC Scopus subject areas
- Artificial Intelligence
Cite this
A culture-dependent metadata creation method for color-based impression extraction with cultural color spaces. / Suhardijanto, Totok; Kiyoki, Yasushi; Barakbah, Ali Ridho.
Frontiers in Artificial Intelligence and Applications. Vol. 225 2011. p. 333-343 (Frontiers in Artificial Intelligence and Applications; Vol. 225).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A culture-dependent metadata creation method for color-based impression extraction with cultural color spaces
AU - Suhardijanto, Totok
AU - Kiyoki, Yasushi
AU - Barakbah, Ali Ridho
PY - 2011
Y1 - 2011
N2 - It is becoming important to realize a cross-cultural communication environment among societies with different cultures. Images are effective media for exchanging cultural characteristics across cultures. This paper presents a culture-dependent color-emotion model for cross-culture oriented image retrieval system that realizes color-emotion spaces to search images with human emotion aspects. Many image retrieval systems have been featured by color analysis, but culture-dependent aspects of images are not considered intensively. Our system creates color impression spaces based on Ekman's 17 basic emotions. For the first step, the culture-dependent color impression space is created by using cultural-features. We apply automatic clustering using our previous method "Valley Tracing" in order to generate dynamic representative colors. This system automatically creates a set of culture-dependent color impression metadata.
AB - It is becoming important to realize a cross-cultural communication environment among societies with different cultures. Images are effective media for exchanging cultural characteristics across cultures. This paper presents a culture-dependent color-emotion model for cross-culture oriented image retrieval system that realizes color-emotion spaces to search images with human emotion aspects. Many image retrieval systems have been featured by color analysis, but culture-dependent aspects of images are not considered intensively. Our system creates color impression spaces based on Ekman's 17 basic emotions. For the first step, the culture-dependent color impression space is created by using cultural-features. We apply automatic clustering using our previous method "Valley Tracing" in order to generate dynamic representative colors. This system automatically creates a set of culture-dependent color impression metadata.
KW - color-emotion based image search
KW - culture-dependent color-emotion
KW - emotion information
UR - http://www.scopus.com/inward/record.url?scp=79951601796&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79951601796&partnerID=8YFLogxK
U2 - 10.3233/978-1-60750-690-4-333
DO - 10.3233/978-1-60750-690-4-333
M3 - Conference contribution
AN - SCOPUS:79951601796
SN - 9781607506898
VL - 225
T3 - Frontiers in Artificial Intelligence and Applications
SP - 333
EP - 343
BT - Frontiers in Artificial Intelligence and Applications
ER -