Reversible joint fingerprinting and decryption based on side match vector quantization

Chih Yang Lin; Panyaporn Prangjarote; Chia Hung Yeh; Hui Fuang Ng

doi:10.1016/j.sigpro.2013.11.011

Reversible joint fingerprinting and decryption based on side match vector quantization

Chih Yang Lin, Panyaporn Prangjarote, Chia Hung Yeh^*, Hui Fuang Ng

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

This paper proposes a joint fingerprinting and decryption (JFD) based on side match vector quantization (SMVQ) for transmitting confidential information and traitor tracing in multimedia distribution. With the help of SMVQ, the proposed scheme can extract the fingerprint without referring to the original image. In addition, after the extraction of the fingerprint, the fingerprinted copy can be completely recovered to the un-fingerprinted version. The experimental results show that the proposed scheme can achieve high perceptual security (with PSNR below 12 on average), high fingerprinted visual quality (with PSNR above 28 on average), and desirable fingerprint payload (about 0.6 bit/per block).

Original language	English
Pages (from-to)	52-61
Number of pages	10
Journal	Signal Processing
Volume	98
DOIs	https://doi.org/10.1016/j.sigpro.2013.11.011
Publication status	Published - 2014 May
Externally published	Yes

Keywords

Joint fingerprinting and decryption
Multimedia distribution
Side-match vector quantization
Traitor tracing
Vector quantization

ASJC Scopus subject areas

Control and Systems Engineering
Software
Signal Processing
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1016/j.sigpro.2013.11.011

Cite this

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title = "Reversible joint fingerprinting and decryption based on side match vector quantization",

abstract = "This paper proposes a joint fingerprinting and decryption (JFD) based on side match vector quantization (SMVQ) for transmitting confidential information and traitor tracing in multimedia distribution. With the help of SMVQ, the proposed scheme can extract the fingerprint without referring to the original image. In addition, after the extraction of the fingerprint, the fingerprinted copy can be completely recovered to the un-fingerprinted version. The experimental results show that the proposed scheme can achieve high perceptual security (with PSNR below 12 on average), high fingerprinted visual quality (with PSNR above 28 on average), and desirable fingerprint payload (about 0.6 bit/per block).",

keywords = "Joint fingerprinting and decryption, Multimedia distribution, Side-match vector quantization, Traitor tracing, Vector quantization",

author = "Lin, {Chih Yang} and Panyaporn Prangjarote and Yeh, {Chia Hung} and Ng, {Hui Fuang}",

note = "Funding Information: This work was supported by National Science Council, Taiwan , under Grants NSC 101-2221-E-468-021 .",

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doi = "10.1016/j.sigpro.2013.11.011",

language = "English",

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TY - JOUR

T1 - Reversible joint fingerprinting and decryption based on side match vector quantization

AU - Lin, Chih Yang

AU - Prangjarote, Panyaporn

AU - Yeh, Chia Hung

AU - Ng, Hui Fuang

N1 - Funding Information: This work was supported by National Science Council, Taiwan , under Grants NSC 101-2221-E-468-021 .

PY - 2014/5

Y1 - 2014/5

N2 - This paper proposes a joint fingerprinting and decryption (JFD) based on side match vector quantization (SMVQ) for transmitting confidential information and traitor tracing in multimedia distribution. With the help of SMVQ, the proposed scheme can extract the fingerprint without referring to the original image. In addition, after the extraction of the fingerprint, the fingerprinted copy can be completely recovered to the un-fingerprinted version. The experimental results show that the proposed scheme can achieve high perceptual security (with PSNR below 12 on average), high fingerprinted visual quality (with PSNR above 28 on average), and desirable fingerprint payload (about 0.6 bit/per block).

AB - This paper proposes a joint fingerprinting and decryption (JFD) based on side match vector quantization (SMVQ) for transmitting confidential information and traitor tracing in multimedia distribution. With the help of SMVQ, the proposed scheme can extract the fingerprint without referring to the original image. In addition, after the extraction of the fingerprint, the fingerprinted copy can be completely recovered to the un-fingerprinted version. The experimental results show that the proposed scheme can achieve high perceptual security (with PSNR below 12 on average), high fingerprinted visual quality (with PSNR above 28 on average), and desirable fingerprint payload (about 0.6 bit/per block).

KW - Joint fingerprinting and decryption

KW - Multimedia distribution

KW - Side-match vector quantization

KW - Traitor tracing

KW - Vector quantization

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JO - Signal Processing

JF - Signal Processing

ER -

Reversible joint fingerprinting and decryption based on side match vector quantization

Abstract

Keywords

ASJC Scopus subject areas

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