Pivot Vector Space Approach for Audio-Video Mixing
IEEE MultiMedia
Two Performances in the 21st. Century Virtual Color Organ: GridJam and Im Januar am Nil
VSMM '01 Proceedings of the Seventh International Conference on Virtual Systems and Multimedia (VSMM'01)
Automatic music video generation based on temporal pattern analysis
Proceedings of the 12th annual ACM international conference on Multimedia
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Probabilistic estimation of a novel music emotion model
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Automatic mood detection and tracking of music audio signals
IEEE Transactions on Audio, Speech, and Language Processing
Interactive content presentation based on expressed emotion and physiological feedback
MM '08 Proceedings of the 16th ACM international conference on Multimedia
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
3D cinematography principles and their applications to stereoscopic media processing
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Machine Recognition of Music Emotion: A Review
ACM Transactions on Intelligent Systems and Technology (TIST)
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Music players for personal computers are often featured with music visualization by generating animated patterns according to the music's low-level features such as loudness and spectrum. This paper proposes an emotion-based music player which synchronizes visualization (photos) with music based on the emotions evoked by auditory stimulus of music and visual content of visualization. For emotion detection from photos, we collected 398 photos with their emotions annotated by 496 users through the web. With these annotations, a Bayesian classification method is proposed for automatic photo emotion detection. For emotion detection from music, we adopt an existing method. Finally, for composition of music and photos, in addition to matching high-level emotions, we also consider low-level feature harmony and temporal visual coherence. It is formulated as an optimization problem and solved by a greedy algorithm. Subjective evaluation shows emotion-based music visualization enriches users' listening experiences.