Video Object Watermarking Based on Moments

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	2014-03-01T02:49:58Z
dc.date.available	2014-03-01T02:49:58Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34834
dc.subject	Neural Network Classifier	en
dc.subject	Zernike Moment	en
dc.subject	Video Object	en
dc.title	Video Object Watermarking Based on Moments	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11738695_10	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11738695_10	en
heal.publicationDate	2005	en
heal.abstract	A robust video object based watermarking scheme, based on Zernike and Hu moments, is proposed in this paper. Firstly, a human video object detector is applied to the initial image. Zernike and the Hu moments of each human video object are estimated and an invariant function for watermarking is incorporated. Then, the watermark is generated modifying the moment values of	en
heal.journalName	Very Low Bitrate Video Coding	en
dc.identifier.doi	10.1007/11738695_10	en