CompositeMap

Bingjun Zhang, Qiaoliang Xiang, Ye Wang, Jialie Shen
2009 Proceedings of the seventeen ACM international conference on Multimedia - MM '09  
How to measure and model the similarity between different music items is one of the most fundamental yet challenging research problems in music information retrieval. This paper demonstrates a novel multimodal and adaptive music similarity measure (CompositeMap) with its application in a personalized multimodal music search system. Compos-iteMap can effectively combine music properties from different aspects into compact signatures via supervised learning, which lays the foundation for
more » ... and efficient music search. In addition, an incremental Locality Sensitive Hashing algorithm is developed to support more efficient search processes. Experimental results based on two large music collections reveal various advantages in effectiveness, efficiency, adaptiveness, and scalability of the proposed music similarity measure and the music search system.
doi:10.1145/1631272.1631474 dblp:conf/mm/ZhangXWS09 fatcat:m6sl5qh2yrhh3eeaw6u5l47mje