ROCK: a robust clustering algorithm for categorical attributes
Information Systems
The Earth Mover's Distance as a Metric for Image Retrieval
International Journal of Computer Vision
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Automatic multimedia cross-modal correlation discovery
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Emotion-based music recommendation by association discovery from film music
Proceedings of the 13th annual ACM international conference on Multimedia
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Affective Space Exploration for Impressionism Paintings
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Matching information content with music
Proceedings of the third ACM conference on Recommender systems
Pusic: musicalize microblog messages for summarization and exploration
Proceedings of the 19th international conference on World wide web
MemeTube: a sentiment-based audiovisual system for analyzing and displaying microblog messages
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Systems Demonstrations
Picasso - to sing, you must close your eyes and draw
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Location-adapted music recommendation using tags
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
PICASSO: automated soundtrack suggestion for multi-modal data
Proceedings of the 20th ACM international conference on Information and knowledge management
PhotoFeel: feeling your photo collection with graph-based audiovisual flocking
MM '11 Proceedings of the 19th ACM international conference on Multimedia
SRbench--a benchmark for soundtrack recommendation systems
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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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.