IJMTES – VIDEO FAKE IDENTIFICATION USINGAN EFFICIENT FEATURE EXTRACTION TECHNIQUE

Journal Title : International Journal of Modern Trends in Engineering and Science

Author’s Name : G.Karthikasini

Volume 01 Issue o6   Year 2014  

ISSN no:  2348-3121 

Page no: 10-14

Abstract— Due to the rapid development of technologies, videos are generated and copied easily. And Copied videos are distributed over internet. Video forgery identification is very important in multimedia application. Here Video forgery identification is proposed by using SIFT, SVD and DWT techniques.  Here first the copied and original videos are converted into frames and frames are stored. In this project, to detect the key point in the frames a very efficient SIFT technique, that is Scale Invariant Feature Transform is proposed. SIFT is an effective technique which is chosen here, because of it robustness to invariance of scale and rotation illumination changes. It searches all the key points in the image that is frame. For matching the SIFT Key point sets of both Query image and reference image we propose a Singular Value Decomposition [SVD] algorithm. To find the frames which are involved in color or contrast changes, Discrete Wavelet transform is used.

Keywords— Video Forgery identification, Singular Value Decomposition, Discrete wavelet transform, SIFT technique

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