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A Video Authentication Based on SVM Classification and Scale Invariant Features of Video Frames

Author(s):

Tushar Lakhani , Saffrony institute of technology; Prayag M. Patel, Saffrony Institute of Technology

Keywords:

Video Authentication, Video Authentication Techniques, SVM, Scale Invariant Feature Transform (SIFT)

Abstract

A video authentication is a process of that verify the given digital video is authentic and exactly same as when captured. In current scenario different types of digital and multimedia editing software used to manipulation of video sequence frames and object motion very easily. In this Paper, Local features have good strength and discriminative ability SIFT descriptors are used here for video content description. Content matching using SIFT takes large amount of time and it is computationally expensive for high dimensions and large number of points. SIFT local invariant feature has many applications in different fields such as image retrieval, strong matching ability and machine vision. In this paper analyze the various Low level feature detection methods and main aim at computing image information and detect every image point These difficulties are solved by using dual threshold method which divides videos into segments having homogeneous content and by performing key frame extraction on each of these segments. SIFT features are then extracted from these key frames and SIFT feature sets of two video frames are matched using SVM based method. Experimental results also demonstrate that the proposed method can obtain a better exchange between the effectiveness and the efficiency of video copy detection.

Other Details

Paper ID: IJSRDV3I31211
Published in: Volume : 3, Issue : 3
Publication Date: 01/06/2015
Page(s): 1961-1964

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