ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술지 SVD-Based Adaptive QIM Watermarking on Stereo Audio Signals
Cited 56 time in scopus Download 3 time Share share facebook twitter linkedin kakaostory
저자
황민재, 이지석, 이미숙, 강홍구
발행일
201801
출처
IEEE Transactions on Multimedia, v.20 no.1, pp.45-54
ISSN
1520-9210
출판사
IEEE
DOI
https://dx.doi.org/10.1109/TMM.2017.2721642
협약과제
16ZR1200, 미디어 접근편의성 향상을 위한 Active Audioprint 기술 개발, 이태진
초록
This paper proposes a blind digital audio watermarking algorithm that utilizes the quantization indexmodulation (QIM) and the singular value decomposition (SVD) of stereo audio signals. Conventional SVD-based blind audio watermarking algorithms lack physical interpretation since the matrix construction method for the input matrix for SVD is heuristically defined. However, in the proposed approach, because the SVD is directly applied to the stereo input signals, the resulting decomposed elements convey a conceptually meaningful interpretation of the original audio signal. As the proposed approach effectively utilizes the ratio of singular values, the embedded watermark is highly imperceptible and robust against volumetric scaling attacks; most QIM-based watermarking schemes are weak to these types of attacks. Experimental results under well-known practical attacks, such as compressions, resampling, and various types of signal processing, confirm that the proposed algorithm performs well compared to conventional audio watermarking algorithms.
키워드
Audio watermarking, Blind, Data hiding, Quantization indexmodulation (QIM), Singular value decomposition (SVD), Stereo
KSP 제안 키워드
Audio signal, Blind audio watermarking, Construction Method, Data Hiding, Digital audio watermarking, Matrix construction, QIM Watermarking, Signal Processing, Stereo audio, directly applied, physical interpretation