Perceptual hashing method for video content authentication with maximized robustness

Abstract Perceptual video hashing represents video perceptual content by compact hash. The binary hash is sensitive to content distortion manipulations, but robust to perceptual content preserving operations. Currently, boundary between sensitivity and robustness is often ambiguous and it is decided...

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Autores principales:	Qiang Ma, Ling Xing
Formato:	article
Lenguaje:	EN
Publicado:	SpringerOpen 2021
Materias:	Video authentication Perceptual hashing Maximized robustness Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/69116a778f8f4ff4a7f01727859ab1c9
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id	oai:doaj.org-article:69116a778f8f4ff4a7f01727859ab1c9
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spelling	oai:doaj.org-article:69116a778f8f4ff4a7f01727859ab1c92021-11-28T12:07:02ZPerceptual hashing method for video content authentication with maximized robustness10.1186/s13640-021-00577-z1687-5281https://doaj.org/article/69116a778f8f4ff4a7f01727859ab1c92021-11-01T00:00:00Zhttps://doi.org/10.1186/s13640-021-00577-zhttps://doaj.org/toc/1687-5281Abstract Perceptual video hashing represents video perceptual content by compact hash. The binary hash is sensitive to content distortion manipulations, but robust to perceptual content preserving operations. Currently, boundary between sensitivity and robustness is often ambiguous and it is decided by an empirically defined threshold. This may result in large false positive rates when received video is to be judged similar or dissimilar in some circumstances, e.g., video content authentication. In this paper, we propose a novel perceptual hashing method for video content authentication based on maximized robustness. The developed idea of maximized robustness means that robustness is maximized on condition that security requirement of hash is first met. We formulate the video hashing as a constrained optimization problem, in which coefficients of features offset and robustness are to be learned. Then we adopt a stochastic optimization method to solve the optimization. Experimental results show that the proposed hashing is quite suitable for video content authentication in terms of security and robustness.Qiang MaLing XingSpringerOpenarticleVideo authenticationPerceptual hashingMaximized robustnessElectronicsTK7800-8360ENEURASIP Journal on Image and Video Processing, Vol 2021, Iss 1, Pp 1-17 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Video authentication Perceptual hashing Maximized robustness Electronics TK7800-8360
spellingShingle	Video authentication Perceptual hashing Maximized robustness Electronics TK7800-8360 Qiang Ma Ling Xing Perceptual hashing method for video content authentication with maximized robustness
description	Abstract Perceptual video hashing represents video perceptual content by compact hash. The binary hash is sensitive to content distortion manipulations, but robust to perceptual content preserving operations. Currently, boundary between sensitivity and robustness is often ambiguous and it is decided by an empirically defined threshold. This may result in large false positive rates when received video is to be judged similar or dissimilar in some circumstances, e.g., video content authentication. In this paper, we propose a novel perceptual hashing method for video content authentication based on maximized robustness. The developed idea of maximized robustness means that robustness is maximized on condition that security requirement of hash is first met. We formulate the video hashing as a constrained optimization problem, in which coefficients of features offset and robustness are to be learned. Then we adopt a stochastic optimization method to solve the optimization. Experimental results show that the proposed hashing is quite suitable for video content authentication in terms of security and robustness.
format	article
author	Qiang Ma Ling Xing
author_facet	Qiang Ma Ling Xing
author_sort	Qiang Ma
title	Perceptual hashing method for video content authentication with maximized robustness
title_short	Perceptual hashing method for video content authentication with maximized robustness
title_full	Perceptual hashing method for video content authentication with maximized robustness
title_fullStr	Perceptual hashing method for video content authentication with maximized robustness
title_full_unstemmed	Perceptual hashing method for video content authentication with maximized robustness
title_sort	perceptual hashing method for video content authentication with maximized robustness
publisher	SpringerOpen
publishDate	2021
url	https://doaj.org/article/69116a778f8f4ff4a7f01727859ab1c9
work_keys_str_mv	AT qiangma perceptualhashingmethodforvideocontentauthenticationwithmaximizedrobustness AT lingxing perceptualhashingmethodforvideocontentauthenticationwithmaximizedrobustness
_version_	1718408201914810368

Perceptual hashing method for video content authentication with maximized robustness

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