Semantic region protection using Hu moments and a chaotic pseudo-random number generator

Tzouveli, P; Ntalianis, K; Kollias, S

dc.contributor.author	Tzouveli, P	en
dc.contributor.author	Ntalianis, K	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:52:06Z
dc.date.available	2014-03-01T02:52:06Z
dc.date.issued	2009	en
dc.identifier.issn	16153871	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35847
dc.subject	Chaotic pseudo-random number generator	en
dc.subject	Hu moments	en
dc.subject	Semantic region protection	en
dc.title	Semantic region protection using Hu moments and a chaotic pseudo-random number generator	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-88181-0_37	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-88181-0_37	en
heal.publicationDate	2009	en
heal.abstract	Content analysis technologies give more and more emphasis on multimedia semantics. However most watermarking systems are frame-oriented and do not focus on the protection of semantic regions. As a result, they fail to protect semantic content especially in case of the copy-paste attack. In this framework, a novel unsupervised semantic region watermark encoding scheme is proposed. The proposed scheme is applied to human objects, localized by a face and body detection method that is based on an adaptive two-dimensional Gaussian model of skin color distribution. Next, an invariant method is designed, based on Hu moments, for properly encoding the watermark information into each semantic region. Finally, experiments are carried out, illustrating the advantages of the proposed scheme, such as robustness to RST and copy-paste attacks, and low overhead transmission. © 2009 Springer-Verlag Berlin Heidelberg.	en
heal.journalName	Advances in Soft Computing	en
dc.identifier.doi	10.1007/978-3-540-88181-0_37	en
dc.identifier.volume	53	en
dc.identifier.spage	286	en
dc.identifier.epage	293	en