HEAL DSpace

Semantic object watermark re-synchronization based on skeleton vertex corresponds

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dc.contributor.author Tzouveli, P en
dc.contributor.author Raftopoulos, K en
dc.contributor.author Ntalianis, K en
dc.contributor.author Kollias, S en
dc.date.accessioned 2014-03-01T02:46:59Z
dc.date.available 2014-03-01T02:46:59Z
dc.date.issued 2010 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32969
dc.subject Eulerian tour en
dc.subject MAT en
dc.subject Object based watermarking en
dc.subject Skeleton en
dc.subject.other Block-based approaches en
dc.subject.other Caltech en
dc.subject.other Eulerian en
dc.subject.other Geometric distortion en
dc.subject.other Image blocks en
dc.subject.other Image objects en
dc.subject.other MAT en
dc.subject.other Object based watermarking en
dc.subject.other Rectangular grids en
dc.subject.other Resynchronization en
dc.subject.other Semantic objects en
dc.subject.other Shape information en
dc.subject.other Skeleton en
dc.subject.other Watermark synchronization en
dc.subject.other Musculoskeletal system en
dc.subject.other Semantics en
dc.subject.other Watermarking en
dc.title Semantic object watermark re-synchronization based on skeleton vertex corresponds en
heal.type conferenceItem en
heal.identifier.primary 10.1145/1877972.1877979 en
heal.identifier.secondary http://dx.doi.org/10.1145/1877972.1877979 en
heal.publicationDate 2010 en
heal.abstract Plain rotation, scaling, and/or translation of an image can lead to loss of watermark synchronization and thus authentication failure. The block based approaches in particular are sensitive to geometric distortions due to the need for repositioning the block's rectangular grid. In this paper, we propose a novel block based approach for watermarking image objects in a way that is invariant to RST distortions. With the term ""image object"" we refer to semantically contiguous parts of images that have a specific contour boundary. The proposed approach is based on shape information since the watermark is embedded in image blocks, the location and orientation of which is defined by Eulerian tours that are appropriately arranged in layers, around the object's skeleton. The skeleton of the object (MAT transform) is defined by the shape of its boundary and not only is invariant to RST transformations but is also robust to cropping, clipping and other common deformation attacks. Results on the Caltech database are reported, showing the advantages of the proposed scheme. en
heal.journalName MiFor'10 - Proceedings of the 2010 ACM Workshop on Multimedia in Forensics, Security and Intelligence, Co-located with ACM Multimedia 2010 en
dc.identifier.doi 10.1145/1877972.1877979 en
dc.identifier.spage 13 en
dc.identifier.epage 18 en


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