TY - GEN
T1 - Affective space exploration for impressionism paintings
AU - Li, Cheng Te
AU - Shan, Man Kwan
PY - 2008
Y1 - 2008
N2 - In this paper, we explore the affective contents of Impressionism paintings. While past analysis of artworks concentrated on artistic concept annotation, like styles and periods, a more perceptual aspect is to investigate the emotions artists projected into. We propose affective space to fuse all affective factors from features. Since the combination of colors is more sensitive and intuitive to emotions, a meta-level feature, color harmony, is introduced to bridge the semantic gaps. By considering the correlation relationships among features and emotions, the affective space is explored through multiple-type latent semantic analysis. Experimental results show the effectiveness of harmonic feature and affective space via multi-label emotion annotation. Some potential applications are demonstrated based on affective space as well, including painting emotionalization and emotion-based slideshow system.
AB - In this paper, we explore the affective contents of Impressionism paintings. While past analysis of artworks concentrated on artistic concept annotation, like styles and periods, a more perceptual aspect is to investigate the emotions artists projected into. We propose affective space to fuse all affective factors from features. Since the combination of colors is more sensitive and intuitive to emotions, a meta-level feature, color harmony, is introduced to bridge the semantic gaps. By considering the correlation relationships among features and emotions, the affective space is explored through multiple-type latent semantic analysis. Experimental results show the effectiveness of harmonic feature and affective space via multi-label emotion annotation. Some potential applications are demonstrated based on affective space as well, including painting emotionalization and emotion-based slideshow system.
UR - http://www.scopus.com/inward/record.url?scp=70350680515&partnerID=8YFLogxK
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U2 - 10.1007/978-3-540-89796-5_40
DO - 10.1007/978-3-540-89796-5_40
M3 - Conference contribution
AN - SCOPUS:70350680515
SN - 354089795X
SN - 9783540897958
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 387
EP - 396
BT - Advances in Multimedia Information Processing - PCM 2008 - 9th Pacific Rim Conference on Multimedia, Proceedings
T2 - 9th Pacific Rim Conference on Multimedia, PCM 2008
Y2 - 9 December 2008 through 13 December 2008
ER -