2017
DOI: 10.23919/tst.2017.8030538
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A novel video reversible data hiding algorithm using motion vector for H.264/AVC

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Cited by 28 publications
(24 citation statements)
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“…The change density is the density of data embedding, which is defined as the number of modifications per embedded data bit. In most existing literature [2][3][4][5][6][7][8][9][10][11][12][13], change density is 1 modification per 1 embedded data bit. The SME(1,3,7) technique is able to embed 3 data bits by modifying only 1 coefficient.…”
Section: Proposed Methods Of Data Hidingmentioning
confidence: 99%
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“…The change density is the density of data embedding, which is defined as the number of modifications per embedded data bit. In most existing literature [2][3][4][5][6][7][8][9][10][11][12][13], change density is 1 modification per 1 embedded data bit. The SME(1,3,7) technique is able to embed 3 data bits by modifying only 1 coefficient.…”
Section: Proposed Methods Of Data Hidingmentioning
confidence: 99%
“…In literature, many data hiding schemes (both steganographic and watermarking) have been proposed for H.264/AVC [2][3][4][5][6][7][8][9][10]. Recently, after the final standardisation of H.265/HEVC, many data hiding methods [2,[11][12][13] have been proposed for this new standard.…”
Section: Related Work and Motivationmentioning
confidence: 99%
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“…Therefore, compared with images, videos have much more research room to develop the techniques of RDH and DH. Recently, as the development of video compression standard, such as H.264/advanced video coding (AVC) 9 and high-efficiency video coding (HEVC), 10 some video DH methods 2,[11][12][13][14][15][16] and video RDH methods [17][18][19][20][21][22][23] are reported. For these DH methods, they are proposed for improving embedding capacity, 12,14 stopping intra-frame drift, 11,13,16 and reducing bit-rate increase.…”
Section: Introductionmentioning
confidence: 99%