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Robust video watermarking algorithm for H.264/AVC based on JND model
( Weiwei Zhang ),( Xin Li ),( Yuzhao Zhang ),( Ru Zhang ),( Lixin Zheng ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.5
With the purpose of copyright protection for digital video, a novel H.264/AVC watermarking algorithm based on JND model is proposed. Firstly, according to the characteristics of human visual system, a new and more accurate JND model is proposed to determine watermark embedding strength by considering the luminance masking, contrast masking and spatial frequency sensitivity function. Secondly, a new embedding strategy for H.264/AVC watermarking is proposed based on an analysis on the drift error of energy distribution. We argue that more robustness can be achieved if watermarks are embedded in middle and high components of 4×4 integer DCT since these components are more stable than dc and low components when drift error occurs. Finally, according to different characteristics of middle and high components, the watermarks are embedded using different algorithms, respectively. Experimental results demonstrate that the proposed watermarking algorithm not only meets the imperceptibility and robustness requirements, but also has a high embedding capacity.
Yu Zhao,Yinfeng Xu,Fang Yu,Chunzhi Zhang 한국미생물학회 2018 The journal of microbiology Vol.56 No.4
In the present study, a new strain, Bacillus cereus ZY12, producing phospholipase D (PLD) was identified. The expression of PLD in this strain was found to be induced by its substrate, phosphatidylcholine (PC), and completely silenced by other carbon sources, such as glucose, fructose, and maltose, which are generally used in microbial growth cultures, thus presenting a unique expression pattern different from other PLD-producing microorganisms. This study is the first to report on the ability of B. cereus to produce PLD, and successfully clone its PLD-coding gene and identify its function, extending the knowledge on PLD distribution and evolution in microorganisms.