Music Information Retrieval Schemes in Peer-to-Peer Environments
Chaokun Wang, Jianzhong Li and Shengfei Shi
DOI : 10.3844/jcssp.2005.369.375
Journal of Computer Science
Volume 1, Issue 3
Peer-to-peer systems are useful tools for music applications. Existing peer-to-peer systems support the storing and sharing of music data, however they cannot effectively and efficiently support the content-based information retrieval and the cooperation of musicians. This study focuses on the methods of content-based music information retrieval in peer-to-peer environments. Four music information retrieval schemes are evaluated in detail on communication cost, retrieval time, update complexity and robustness. Peers-peers-coordinator scheme is found to be the best one from theoretical analysis and simulated experiments. Also, an algorithm is designed for an implementation of the peers-peers-coordinator scheme and a simple but effective method is brought forward to filter out the replica in the final results. The results of simulated experiments show the efficiency of the algorithm.
© 2005 Chaokun Wang, Jianzhong Li and Shengfei Shi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.