Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/7928
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRoopalakshmi, R.-
dc.contributor.authorRam Mohana Reddy, Guddeti-
dc.date.accessioned2020-03-30T10:03:07Z-
dc.date.available2020-03-30T10:03:07Z-
dc.date.issued2011-
dc.identifier.citationCommunications in Computer and Information Science, 2011, Vol.193 CCIS, PART 4, pp.473-480en_US
dc.identifier.urihttps://idr.nitk.ac.in/jspui/handle/123456789/7928-
dc.description.abstractIn the present Multimedia era, the exponential growth of illegal videos and huge piracy issues increased the importance of Content Based video Copy Detection (CBCD) techniques. CBCD systems require compact and computationally efficient descriptors for detecting video copies. In this paper, we propose a simple and efficient video signature scheme using Dominant Color Descriptors of MPEG-7 standard in order to implement the proposed CBCD task. Experimental results show that the proposed approach yields better detection rates when compared to that of existing approaches, against common transformations like Contrast change, Noise addition, Rotation, Zooming, Blurring etc. Further, evaluation results also prove that our scheme is computationally efficient by supporting substantial reduction in the total computational cost up to the extent of 65% when compared to that of existing schemes. � 2011 Springer-Verlag.en_US
dc.titleEfficient video copy detection using simple and effective extraction of color featuresen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

Files in This Item:
File Description SizeFormat 
7928.pdf308.18 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.