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.

A System for Dynamic Playlist Generation Driven by Multimodal Control Signals and Descriptors

ZANONI, MASSIMILIANO;SARTI, AUGUSTO
2011

Abstract

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.
IEEE International Workshop on Multimedia Signal Processing
9781457714320
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/666708
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