Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/10018
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dc.contributor.authorPais, A.R.
dc.contributor.authorD'Souza, J.
dc.contributor.authorReddy, R.M.
dc.contributor.authorHari, Krishna, P.
dc.date.accessioned2020-03-31T08:18:32Z-
dc.date.available2020-03-31T08:18:32Z-
dc.date.issued2011
dc.identifier.citationInternational Journal of Multimedia and Ubiquitous Engineering, 2011, Vol.6, 3, pp.13-36en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/10018-
dc.description.abstractRemoval of shadow from Video Object Planes (VOPs) will assist in surveillance applications for comprehensive detection of activities. We have proposed a method for removal of shadows from the VOP. Also noise removal is done using existing methods from the VOP. To authenticate the surveillance VOP, digital watermarking is used. We have proposed digital watermarking using localized Biorthogonal wavelets for VOP. Super-resolved VOP is generated using multi-frame method. Edge model based super resolution method is used to get the better results. Also the effect of digital watermarking is studied for the super-resolved VOP. A number of test cases have been proposed and found out a best method for video surveillance application. Our proposed super resolution (SR) method gives better results than bilinear and bi-cubic methods.en_US
dc.titleAutomatic shadow removal algorithm for VOP, DWT based watermarking algorithm for VOP and generation of super resolved VOPen_US
dc.typeArticleen_US
Appears in Collections:1. Journal Articles

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