A Kind of Content-Based Music Information Retrieval Method in Peer-to-peer Environment

In this paper, we propose four peer-to-peer models for contentbased music information retrieval (CBMIR) and carefully evaluate them on network load, retrieval time, system update and robustness qualitatively and quantitatively. And we bring forward an algorithm to improve the speed of CBP2PMIR and a simple but effective method to filter out the replica in the final results. And we present the architecture of QUIND, a content-based peer-topeer music information retrieval system, which can implement CBMIR. QUIND combines content-based music information retrieval technologies and peer-to-peer environments, and has strong robustness and good expansibility. Music stored and shared on each PC makes up of the whole available music resource. When a user puts forward a music request, e.g. a song or a melody, QUIND can retrieve a lot of similar music quickly and accurately according to the content of music. After the user selects his favorite ones, he can download and enjoy them.