Image protection based on visual cryptography and statistical property

Young-Chang Hou, Pei-Hsiu Huang
2011 2011 IEEE Statistical Signal Processing Workshop (SSP)  
Spatial relation model is important technique f o r iniage indexing arid retrieval in iniage or niultiniedia databases. 2 -0 strings and its variants are proposed to s~rpport the representation of spatial relationship. In this paper, a new spatial knowledge representarion model rianied "Tvi.0 Diniension Begin-End boundan string"(2D BE-string) is proposed. The 2 0 BE-string represents on icon by its MBR boundaries. By applying a nuniber of "duniniy objects", the 2 0 BE-string can intuitively
more » ... tiat~rrally represent the pictorial spatial iriforniatiori withoirt any spatial operator. In addition, an image siniilarity evaluation method based on the modified "Longest Common Subseq~ierice " (LCS) algorithm is presented. By the proposed evaliiation method, not only those iniages \c.hicli all of the icons and their spatial relatiorishipsfitll~ accord with the q u e n image can be sfted out, birr also f o r those iniages which partial of icons widor spatial relationships are similar with the q u e n iniage. It resolves the problenis hat the qrren targets andor spatial relationships are not certain. Our representation model arid siniilarih evaluation also simply the retrieval progress of linear transforniations, include rotation arid reflection, of on image. '
doi:10.1109/ssp.2011.5967737 fatcat:xmzwvnzn4vdqdfjkvxv2jzx3ue