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Paper Abstract and Keywords
Presentation 2016-03-03 13:00
Methods for Concavity Detection in Singular Spectrum
Jessada Karnjana, Masashi Unoki (JAIST) EMM2015-94
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, we propose an audio watermarking scheme based on singular-spectrum analysis (SSA), and also propose an improved version by incorporating differential evolution into the previously proposed scheme. The basic idea is that, SSA is used to deliver a singular spectrum of given audio frame, and then a watermark bit is embedded into the frame by modifying some singular values. Naturally, any part of singular-spectrum curve is decreased and convex. However, according to our proposed modification rule, when a watermark bit “1” is embedded, it causes some part of singular spectrum concave. In the previous work, we take it for granted that the extraction process knows in advance where the concave part is located. Unfortunately, such a location is stimulus-dependent. Therefore, the assumption is not practicable for some real-world applications. To solve the problem, this work proposes two methods for concavity detection in singular spectrum in order to estimate the location automatically. In the first method, concavity is determined by analyzing the second order derivative of singular spectrum. For the second method, a concavity density function is defined and used to find the concave part of singular spectrum. The test results show that, even though the derivative-based method can be used for concavity detection, but it has limitations, especially when the concave part is located on a tail of singular spectrum. The second proposed method outperforms the first one. The correct identification of concave part is quite high with the narrow margin of error.
Keyword (in Japanese) (See Japanese page) 
(in English) Singular-spectrum analysis / singular value / concavity density function / blind audio-watermarking / automatic parameter estimation / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 479, EMM2015-94, pp. 105-110, March 2016.
Paper # EMM2015-94 
Date of Issue 2016-02-24 (EMM) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee EMM  
Conference Date 2016-03-02 - 2016-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Yakushima Environ. and Cultural Vill. Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image and Sound Quality, Metrics for Perception and Recognition, Human Auditory and Visual System, etc. 
Paper Information
Registration To EMM 
Conference Code 2016-03-EMM 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Methods for Concavity Detection in Singular Spectrum 
Sub Title (in English)  
Keyword(1) Singular-spectrum analysis  
Keyword(2) singular value  
Keyword(3) concavity density function  
Keyword(4) blind audio-watermarking  
Keyword(5) automatic parameter estimation  
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1st Author's Name Jessada Karnjana  
1st Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
2nd Author's Name Masashi Unoki  
2nd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
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Speaker Author-1 
Date Time 2016-03-03 13:00:00 
Presentation Time 25 minutes 
Registration for EMM 
Paper # EMM2015-94 
Volume (vol) vol.115 
Number (no) no.479 
Page pp.105-110 
#Pages
Date of Issue 2016-02-24 (EMM) 


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