Humanvideo object watermarking based on HU moments

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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 http://hdl.handle.net/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

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