By Patchara Sutthiwan, Yun Q. Shi, Hong Zhao, Tian-Tsong Ng, Wei Su (auth.), Yun Q. Shi, Sabu Emmanuel, Mohan S. Kankanhalli, Shih-Fu Chang, Regunathan Radhakrishnan, Fulong Ma, Li Zhao (eds.)

ISBN-10: 3642245552

ISBN-13: 9783642245558

Since the mid Nineties, facts hiding has been proposed as an permitting expertise for securing multimedia communique, and is now utilized in numerous purposes together with broadcast tracking, motion picture fingerprinting, steganography, video indexing and retrieval, and snapshot authentication. facts hiding and cryptographic suggestions are usually mixed to enrich one another, hence triggering the advance of a brand new learn box of multimedia defense. in addition to, similar disciplines, steganalysis and information forensics, are more and more attracting researchers and changing into one other new learn box of multimedia protection. This magazine, LNCS Transactions on info Hiding and Multimedia defense, goals to be a discussion board for all researchers in those rising fields, publishing either unique and archival study effects. This factor is composed normally of a unique part on content material safeguard and forensics together with 4 papers. the extra paper bargains with histogram-based snapshot hashing for looking content-preserving copies.

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Extra info for Transactions on data hiding and multimedia security VI

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In DRM systems [13], [25], [28], the media flows from owner to consumers via multilevel distributors often in a compressed encrypted format. In this scenario, the distributors do not have access to plain content (un-encrypted content) as they are not entitled to consume it. Q. ): Transactions on DHMS VI, LNCS 6730, pp. 37–57, 2011. V. and S. Emmanuel licence containing the decryption keys to open the encrypted content to the consumers. However, each distributor sometime needs to watermark the content for media authentication, traitor tracing or proving the distributorship.

In: IEEE Int. Conf. on Image Processing, vol. 3, pp. 29–32 (September 2000) 36 H. Yang, X. C. Kot 10. : Digital Image Watermarking Using Complex Wavelet Transform. In: Proc. Workshop Multimedia Security, pp. 193–198 (2004) 11. : Spread Transform Watermarking for Digital Multimedia Using the Complex Wavelet Transform. In: ECSIS Symp. on Bio-inspired, Learning, and Intelligent Systems for Security, pp. 123–132 (2007) 12. : A Video Watermarking Scheme Based on the Dual-Tree Complex Wavelet Transform.

Now, let Pe be the probability of bit error, then, Pe = P r(T S(qw ) > γ ; H0 ) + (P r(T S(qw ) < γ ; H1 )), Q( √ γ2 ) + 1 − Q( √γ −w ). 2 σq /r (22) (σq )/r In decompressed domain detection,the quantized coefficients are extracted from decoded image using the same QF used for compressing the original image and are subjected to watermark detection as in case of decrypted domain detection. Encrypted Domain Detection. In encrypted domain, watermark is detected in the encrypted quantized coefficients itself.

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Transactions on data hiding and multimedia security VI by Patchara Sutthiwan, Yun Q. Shi, Hong Zhao, Tian-Tsong Ng, Wei Su (auth.), Yun Q. Shi, Sabu Emmanuel, Mohan S. Kankanhalli, Shih-Fu Chang, Regunathan Radhakrishnan, Fulong Ma, Li Zhao (eds.)

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