TY  - JOUR
AU  - Wang, Chaokun 
AU  - Li, Jianzhong 
AU  - Shi, Shengfei 
PY  - 2005
TI  - Music Information Retrieval Schemes in Peer-to-Peer Environments
JF  - Journal of Computer Science
VL  - 1
IS  - 3
DO  - 10.3844/jcssp.2005.369.375
UR  - https://thescipub.com/abstract/jcssp.2005.369.375
AB  - 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.