Please use this identifier to cite or link to this item: https://doi.org/10.1145/1353343.1353374
Title: Compacting music signatures for efficient music retrieval
Authors: Cui, B.
Jagadish, H.V.
Ooi, B.C. 
Tan, K.-L. 
Issue Date: 2008
Source: Cui, B.,Jagadish, H.V.,Ooi, B.C.,Tan, K.-L. (2008). Compacting music signatures for efficient music retrieval. Advances in Database Technology - EDBT 2008 - 11th International Conference on Extending Database Technology, Proceedings : 229-240. ScholarBank@NUS Repository. https://doi.org/10.1145/1353343.1353374
Abstract: Music information retrieval is becoming very important with the ever-increasing growth of music content in digital libraries, peer-to-peer systems and the internet. While it is easy to quantize music into a discrete string representation, retrieval by content requires (approximate) sub-string matching, which is hard. In this paper, we present a novel system, called MUSIG, that uses compact MUsic SIGnatures for efficient content-based music retrieval. The signature is computed as follows: (a) each music file is split into a set of (overlapping) segments; (b) similar segments are clustered together; the number of clusters corresponds to the number of dimensions; (c) for each music file, the number of its segments that fall into a cluster determines the key value in that dimension. Most index structures for multimedia are only able to provide an initial filtering and return a set of candidate answers that must be further examined. For MUSIG, we have also designed a scoring function that permits a ranked answer set to be generated directly based only on the signatures. Our experimental results show that this scheme retains a high degree of accuracy while being very efficient. Copyright 2008 ACM.
Source Title: Advances in Database Technology - EDBT 2008 - 11th International Conference on Extending Database Technology, Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/41922
ISBN: 9781595939265
DOI: 10.1145/1353343.1353374
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

5
checked on Dec 11, 2017

Page view(s)

58
checked on Dec 16, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.