Please use this identifier to cite or link to this item: https://doi.org/10.1145/1631272.1631474
Title: CompositeMap: A novel music similarity measure for personalized multimodal music search
Authors: Zhang, B.
Xiang, Q. 
Wang, Y. 
Shen, J.
Keywords: Music
Personalization
Search
Similarity measure
Issue Date: 2009
Source: Zhang, B.,Xiang, Q.,Wang, Y.,Shen, J. (2009). CompositeMap: A novel music similarity measure for personalized multimodal music search. MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums : 973-974. ScholarBank@NUS Repository. https://doi.org/10.1145/1631272.1631474
Abstract: 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. CompositeMap can effectively combine music properties from different aspects into compact signatures via supervised learning, which lays the foundation for effective 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.
Source Title: MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums
URI: http://scholarbank.nus.edu.sg/handle/10635/40833
ISBN: 9781605586083
DOI: 10.1145/1631272.1631474
Appears in Collections:Staff Publications

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