A low-complexity audio fingerprinting technique for embedded applications-Reference-Cited by-同舟云学术

A low-complexity audio fingerprinting technique for embedded applications

Published:2017-02-27 Issue:5 Volume:77 Page:5929-5948
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Plapous Cyril^ORCID,Berrani Sid-Ahmed,Besset Benoit,Rault Jean-Bernard

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/article/10.1007/s11042-017-4505-4/fulltext.html

Reference19 articles.

1. Abduraman AE, Berrani S-A, Mrialdo B (2013) Audio/Visual recurrences and decision trees for unsupervised TV program structuring. In: VISAPP (1), pp 701–708

2. Balado F, Hurley NJ, McCarthy EP, Silvestre GC (2007) Performance analysis of robust audio hashing. IEEE Trans Inf Forensics Secur 2(2):254–266

3. Baluja S, Covell M (2006) Content fingerprinting using wavelets. In: Proceedings of the conference of Visual Media Production, IET

4. Bellettini C, Mazzini G (2010) A framework for robust audio fingerprinting. J Commun 5(5):409–424. doi: 10.4304/jcm.5.5.409-424

5. Betser M, Collen P, Rault J-B (2007) Audio identification using sinusoidal modeling and application to jingle detection. In: Proceedings of the international conference on Music Information Retrieval, pp 139-142, Austrian Computer Society

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