A system for dynamic playlist generation driven by multimodal control signals and descriptors

This work describes a general approach to multimedia playlist generation and description and an application of the approach to music information retrieval. The example of system that we implemented updates a musical playlist on the fly based on prior information (musical preferences); current descriptors of the song that is being played; and fine-grained and semantically rich descriptors (descriptors of user´s gestures, of environment conditions, etc.). The system incorporates a learning system that infers the user´s preferences. Subjective tests have been conducted on usability and quality of the recommendation system.