Humanvideo object watermarking based on HU moments

Tzouveli, PK; Ntalianis, KS; Kollias, SD

dc.contributor.author	Tzouveli, PK	en
dc.contributor.author	Ntalianis, KS	en
dc.contributor.author	Kollias, SD	en
dc.date.accessioned	2014-03-01T02:43:22Z
dc.date.available	2014-03-01T02:43:22Z
dc.date.issued	2005	en
dc.identifier.issn	15206130	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31361
dc.subject	Copyright Protection	en
dc.subject	Lossy Compression	en
dc.subject	Skin Color	en
dc.subject	Video Object	en
dc.subject.other	Copyrights	en
dc.subject.other	Decoding	en
dc.subject.other	Gaussian noise (electronic)	en
dc.subject.other	Human computer interaction	en
dc.subject.other	Robustness (control systems)	en
dc.subject.other	Semantics	en
dc.subject.other	Signal distortion	en
dc.subject.other	Signal filtering and prediction	en
dc.subject.other	Watermarking	en
dc.subject.other	Gaussian model	en
dc.subject.other	Human video object	en
dc.subject.other	Lossy compression	en
dc.subject.other	Method of moments	en
dc.title	Humanvideo object watermarking based on HU moments	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/SIPS.2005.1579847	en
heal.identifier.secondary	http://dx.doi.org/10.1109/SIPS.2005.1579847	en
heal.identifier.secondary	1579847	en
heal.publicationDate	2005	en
heal.abstract	A novel video object based watermarking scheme is proposed in this paper, providing copyright protection of the semantic content. To achieve this goal, an adaptive two-dimensional Gaussian model of skin color distribution is initially used in order to detect face and body regions within the initial image. An invariant watermark is then designed and tested against attacks using invariant Hu moments. The proposed algorithms have the advantages of being robust, computationally efficient, and overheads transmitted to the decoder side are very low. Performance of the proposed object based watermarking system is tested under various signal distortions such as JPEG lossy compression, blurring, filtering and cropping, Experimental results on real life images indicate the efficiency and robustness of the proposed scheme. © 2005 IEEE.	en
heal.journalName	IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation	en
dc.identifier.doi	10.1109/SIPS.2005.1579847	en
dc.identifier.volume	2005	en
dc.identifier.spage	104	en
dc.identifier.epage	109	en