Emotion-based impressionism slideshow with automatic music accompaniment

In this paper, we propose the emotion-based Impressionism slideshow system with automatic music accompaniment. While conventional image slideshow systems accompany images with music manually, our proposed approach explores the affective content of painting to automatically recommend music based on emotions. This is achieved by association discovery between painting features and emotions, and between emotions and music features respectively. To generate more harmonic Impressionism presentation, a linear arrangement method is proposed based on modified traveling salesman algorithm. Moreover, some animation effects and synchronization issues for affective content of Impressionism fine arts are considered. Experimental result shows our emotion-based accompaniment brings better browsing experience of aesthetics.