Multidimensional binary search trees used for associative searching
Communications of the ACM
MARSYAS: a framework for audio analysis
Organised Sound
MARSYAS: a framework for audio analysis
Organised Sound
The Scientific Evaluation of Music Information Retrieval Systems: Foundations and Future
Computer Music Journal
A Large-Scale Evaluation of Acoustic and Subjective Music-Similarity Measures
Computer Music Journal
Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions
FOCS '06 Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science
Generalized Bradley-Terry Models and Multi-Class Probability Estimates
The Journal of Machine Learning Research
Towards musical query-by-semantic-description using the CAL500 data set
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
SVM optimization: inverse dependence on training set size
Proceedings of the 25th international conference on Machine learning
Introduction to Information Retrieval
Introduction to Information Retrieval
An efficient frequent melody indexing method to improve the performance of query-by-humming systems
Journal of Information Science
Automatic mood detection and tracking of music audio signals
IEEE Transactions on Audio, Speech, and Language Processing
MM '09 Proceedings of the 17th ACM international conference on Multimedia
CompositeMap: a novel music similarity measure for personalized multimodal music search
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Effective music tagging through advanced statistical modeling
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Large-scale music tag recommendation with explicit multiple attributes
Proceedings of the international conference on Multimedia
Effective bitmap indexing for non-metric similarities
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part I
Exploring the music similarity space on the web
ACM Transactions on Information Systems (TOIS)
Probabilistic indexing of media sequences
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
Document dependent fusion in multimodal music retrieval
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Modeling concept dynamics for large scale music search
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
A query by humming system based on locality sensitive hashing indexes
Signal Processing
Personalization in multimodal music retrieval
AMR'11 Proceedings of the 9th international conference on Adaptive Multimedia Retrieval: large-scale multimedia retrieval and evaluation
The neglected user in music information retrieval research
Journal of Intelligent Information Systems
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With the continuing advances in data storage and communication technology, there has been an explosive growth of music information from different application domains. As an effective technique for organizing, browsing, and searching large data collections, music information retrieval is attracting more and more attention. How to measure and model the similarity between different music items is one of the most fundamental yet challenging research problems. In this paper, we introduce a novel framework based on a multimodal and adaptive similarity measure for various applications. Distinguished from previous approaches, our system can effectively combine music properties from different aspects into a compact signature via supervised learning. In addition, an incremental Locality Sensitive Hashing algorithm has been developed to support efficient retrieval processes with different kinds of queries. Experimental results based on two large music collections reveal various advantages of the proposed framework including effectiveness, efficiency, adaptiveness, and scalability.