IEICE TRANSACTIONS on Information
A Resilience Mask for Robust Audio Hashing
Summary :
Audio hashing has been successfully employed for protection, management, and indexing of digital music archives. For a reliable audio hashing system, improving hash matching accuracy is crucial. In this paper, we try to improve a binary audio hash matching performance by utilizing auxiliary information, resilience mask, which is obtained while constructing hash DB. The resilience mask contains reliability information of each hash bit. We propose a new type of resilience mask by considering spectrum scaling and additive noise distortions. Experimental results show that the proposed resilience mask is effective in improving hash matching performance.
- Publication
- IEICE TRANSACTIONS on Information Vol.E100-D No.1 pp.57-60
- Publication Date
- 2017/01/01
- Publicized
- 2016/10/07
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2016MUL0003
- Type of Manuscript
- Special Section LETTER (Special Section on Enriched Multimedia —New Technology Trends in Creation, Utilization and Protection of Multimedia Information—)
- Category
Authors
Jin S. SEO
Gangneung-Wonju National University
Keyword
Latest Issue
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Jin S. SEO, "A Resilience Mask for Robust Audio Hashing" in IEICE TRANSACTIONS on Information,
vol. E100-D, no. 1, pp. 57-60, January 2017, doi: 10.1587/transinf.2016MUL0003.
Abstract: Audio hashing has been successfully employed for protection, management, and indexing of digital music archives. For a reliable audio hashing system, improving hash matching accuracy is crucial. In this paper, we try to improve a binary audio hash matching performance by utilizing auxiliary information, resilience mask, which is obtained while constructing hash DB. The resilience mask contains reliability information of each hash bit. We propose a new type of resilience mask by considering spectrum scaling and additive noise distortions. Experimental results show that the proposed resilience mask is effective in improving hash matching performance.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016MUL0003/_p
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@ARTICLE{e100-d_1_57,
author={Jin S. SEO, },
journal={IEICE TRANSACTIONS on Information},
title={A Resilience Mask for Robust Audio Hashing},
year={2017},
volume={E100-D},
number={1},
pages={57-60},
abstract={Audio hashing has been successfully employed for protection, management, and indexing of digital music archives. For a reliable audio hashing system, improving hash matching accuracy is crucial. In this paper, we try to improve a binary audio hash matching performance by utilizing auxiliary information, resilience mask, which is obtained while constructing hash DB. The resilience mask contains reliability information of each hash bit. We propose a new type of resilience mask by considering spectrum scaling and additive noise distortions. Experimental results show that the proposed resilience mask is effective in improving hash matching performance.},
keywords={},
doi={10.1587/transinf.2016MUL0003},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - A Resilience Mask for Robust Audio Hashing
T2 - IEICE TRANSACTIONS on Information
SP - 57
EP - 60
AU - Jin S. SEO
PY - 2017
DO - 10.1587/transinf.2016MUL0003
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E100-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2017
AB - Audio hashing has been successfully employed for protection, management, and indexing of digital music archives. For a reliable audio hashing system, improving hash matching accuracy is crucial. In this paper, we try to improve a binary audio hash matching performance by utilizing auxiliary information, resilience mask, which is obtained while constructing hash DB. The resilience mask contains reliability information of each hash bit. We propose a new type of resilience mask by considering spectrum scaling and additive noise distortions. Experimental results show that the proposed resilience mask is effective in improving hash matching performance.
ER -
English
