A novel echo-hiding scheme with backward and forward kernels

Kim, Hyoung Joong; Choi, Yong Hee

doi:10.1109/tcsvt.2003.815950

Cited by 101 publications

(2 citation statements)

References 17 publications

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“…1 shows the watermarking categorization and detailed techniques of each category. Time domain methodologies are further divided into time-aligned [18,28,31,34,40,41] and nontime-aligned (echo-based) [63][64][65][66][67][68][69][70][71] methods. Similarly, transform domain methodologies are further divided into spread spectrum (SS)-based [8,14], patchwork-based [19,23,37,38,46,52], quantization index modulation (QIM) based [72][73][74], and other [20,21,29,30,33,36,43,[75][76][77][78][79] methods.…”

Section: Concept Of the Audio Watermarkingmentioning

confidence: 99%

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Audio Watermarking: A Comprehensive Review

Uddin,

Hasan

et al. 2024

ijacsa

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Audio watermarking has emerged as a potent technology for copyright protection, content authentication, content monitoring, and tracking in the digital age. This paper offers a comprehensive exploration of audio watermarking principles, techniques, applications, and challenges. Initially, it presents the fundamental concepts of digital watermarking, elucidating its key characteristics and functionalities. After that, different audio watermarking methods in both the time and transform domains are explained, such as feature-based, parametric, and spreadspectrum methods, along with how they work, and their pros and cons. The paper further addresses critical challenges in maintaining key criteria such as imperceptibility, robustness, and payload capacity associated with audio watermarking. Additionally, it examines watermarking evaluation metrics, datasets, and performance findings under diverse signal-processing attacks. Finally, the review concludes by discussing future directions in audio watermarking research, emphasizing advancements in deep learning-based approaches and emerging applications.

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Section: Concept Of the Audio Watermarkingmentioning

confidence: 99%

“…Echo-based audio watermarking [63][64][65][66][67][68][69][70][71] is another method in the time domain that embeds a watermark by adding weak echoes to the host signal. The watermark is then extracted using cepstral analysis.…”

Section: A Time-domain Techniquesmentioning

confidence: 99%