Automatic stereoscopic video object-based watermarking using qualified significant wavelet trees

Ntalianis, KS; Doulamis, ND; Doulamis, AD; Kollias, SD

dc.contributor.author	Ntalianis, KS	en
dc.contributor.author	Doulamis, ND	en
dc.contributor.author	Doulamis, AD	en
dc.contributor.author	Kollias, SD	en
dc.date.accessioned	2014-03-01T02:49:13Z
dc.date.available	2014-03-01T02:49:13Z
dc.date.issued	2002	en
dc.identifier.issn	0747668X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34414
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0036052989&partnerID=40&md5=c2dc7092260145247bb932c57992a97d	en
dc.subject.other	Image segmentation	en
dc.subject.other	Object recognition	en
dc.subject.other	Special effects	en
dc.subject.other	Trees (mathematics)	en
dc.subject.other	Video signal processing	en
dc.subject.other	Wavelet trees	en
dc.subject.other	Digital watermarking	en
dc.title	Automatic stereoscopic video object-based watermarking using qualified significant wavelet trees	en
heal.type	conferenceItem	en
heal.publicationDate	2002	en
heal.abstract	In this paper a 3-module automatic watermarking system is proposed, which embeds visually recognizable patterns to video objects (VOs). During the first module efficient unsupervised video object extraction is performed. In the second module the DWT is applied to the extracted VOs to produce ten subbands and three pairs of subbands are formed. Next QSWTs are estimated for the pair of subbands with the highest energy content. Finally in the third module visually recognizable patterns are embedded to the coefficients of the highest energy QSWTs and the IDWT is applied to provide the watermarked VO. The performance of the proposed system has been tested under various signal distortions producing very promising results.	en
heal.journalName	Digest of Technical Papers - IEEE International Conference on Consumer Electronics	en
dc.identifier.spage	188	en
dc.identifier.epage	189	en