Automatic videoconference objects watermarking using object adapted qualified significant wavelet trees

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	2014-03-01T01:18:42Z
dc.date.available	2014-03-01T01:18:42Z
dc.date.issued	2003	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15162
dc.subject	Digital Watermark	en
dc.subject	Discrete Wavelet Transform	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	VIDEO	en
dc.title	Automatic videoconference objects watermarking using object adapted qualified significant wavelet trees	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/978-3-540-39798-4_21	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-39798-4_21	en
heal.language	English	en
heal.publicationDate	2003	en
heal.abstract	In this paper, a fully automatic scheme for hiding digital watermarks into videoconference objects is proposed. Initially, a face and body detection module is implemented in order to provide an initial estimation of the foreground object. Next, each foreground object is decomposed using the Shape Adaptive Discrete Wavelet Transform (SA-DWT). Afterwards Object Adapted Qualified Significant Wavelet Trees (OA-QSWTs) are estimated for a pair of subbands, provided by the SA-DWT. Finally visually recognizable watermark patterns are redundantly embedded to the coefficients of the highest energy OA-QSWTs and the invert SA-DWT is applied to provide the watermarked videoconference object. Watermarked objects undergo various signal distortions and experimental results exhibit the efficiency and robustness of the proposed scheme. © Springer-Verlag Berlin Heidelberg 2003.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/978-3-540-39798-4_21	en
dc.identifier.isi	ISI:000187785500020	en
dc.identifier.volume	2849	en
dc.identifier.spage	156	en
dc.identifier.epage	163	en