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General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref and ProQuest
    • E-mail: ijiet@ejournal.net
Prof. Dr. Steve Thatcher
QUniversity, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good-quality papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the related fields.

IJIET 2013 Vol.3(4): 455-460 ISSN: 2010-3689
DOI: 10.7763/IJIET.2013.V3.317

Index Compression for Audio Fingerprinting Systems Based on Compressed Suffix Array

Qingmei Xiao, Narumi Saito, Kazuyuki Matsumoto, Xin Luo, Yasushi Yokota, and Kenji Kita
Abstract—As one of most popular technologies, audio fingerprinting has recently attracted much attention in music retrieval systems. In music retrieval methods based on audio fingerprints, a large database is required in order to compare the fingerprints extracted from the query. In other words, the efficient search method has to be developed. In this paper, we propose a method for index compression using a compressed suffix array. Taking advantage of the fact that the repetitive characters occur frequently in higher bits of the sorted audio fingerprint data, the proposed method compresses the index by encoding the 8-bit data sequences by Run Length Encoding. Vertical Code is also used to compress the array, wherein the positions of the sorted data are stored. Four sets of music databases are used in experiments to evaluate the effectiveness of the proposed method. The experimental results show that the proposed method, compared with the conventional method, only needs 30% of the space of an audio fingerprints database for a music database consisting of 8000 songs, and around 80% of the index space for a database of 1000 songs. Moreover, the entire space cost is reduced to around 60%, compared with the method based on the suffix array.

Index Terms—Audio fingerprint, compressed suffix array, index compression, run length encoding, vertical code.

Qingmei Xiao, Kazuyuki Matsumoto and Kenji Kita are with the Department of Information Science and Intelligent Systems, the University of Tokushima, Tokushima, Japan (e-mail: hanmay510122@gmail.com, matumoto@is.tokushima-u.ac.jp, kita@is.tokushima-u.ac.jp).
Narumi Saito is with OPTPIA Co., Ltd., Tokushima, Japan (e-mail: saito-narumi@iss.tokushima-u.ac.jp).
Xin Luo is with the School of Computer Science and Technology, Donghua Universtiy, Shanghai, (e-mail: China rashin.lx@gmail.com).
Yasushi Yokota is with Doi Hospital, Emihe, Japan (e-mail: yokota@is.tokushima-u.ac.jp).


Cite:Qingmei Xiao, Narumi Saito, Kazuyuki Matsumoto, Xin Luo, Yasushi Yokota, and Kenji Kita, "Index Compression for Audio Fingerprinting Systems Based on Compressed Suffix Array," International Journal of Information and Education Technology vol. 3, no. 4, pp. 455-460, 2013.

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