Affective Space Exploration for Impressionism Paintings

Authors:
Cheng-Te Li;Man-Kwan Shan
Affiliations:
Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei, Taiwan;Department of Computer Science, National Chengchi University, Taipei, Taiwan
Venue:
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2008

Citing 5
Cited 0

Color Transfer between Images

IEEE Computer Graphics and Applications
Color harmonization

ACM SIGGRAPH 2006 Papers
Latent semantic analysis for multiple-type interrelated data objects

SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Annotation of paintings with high-level semantic concepts using transductive inference and ontology-based concept disambiguation

Proceedings of the 15th international conference on Multimedia
Emotion-based impressionism slideshow with automatic music accompaniment

Proceedings of the 15th international conference on Multimedia

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.