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http://dx.doi.org/10.5909/JBE.2021.26.3.321

Music Source Signature Indexing Method for Quick Search  

Kim, Sang-Kyun (Department of Convergence Software Myongji University)
Lee, Kyoung-Sik (Computer Engineering Department Myongji University)
Publication Information
Journal of Broadcast Engineering / v.26, no.3, 2021 , pp. 321-326 More about this Journal
Abstract
Blockchain is increasing in value as a platform for safe transmission of capital transactions or secure data. In addition, blockchain has the potential as a new platform that can safely store large amounts of data such as videos, music, and photos, and safely manage transaction details and service usage specifications. Since it is not possible to store large-capacity media data in a block, research on the performance of storing sound source information in a block and retrieving the stored sound source data by using the distributed storage system (IPFS) and the hash information of the sound source signature data was conducted. In this paper, we propose a sound source signature indexing method using a bloom filter that can improve the search speed suggested by previous studies. As a result of the experiment, it was confirmed that improved search performance (O(1)) than the existing search performance (O(n)) can be achieved.
Keywords
blockchain; bloom filter; music search and retrieval; IPFS; audio signature;
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