ppt on video copy detection in txt

Abstract

Video copy detection is an active research area as copyright issues continue to be a challenge to the multimedia industry. A content-based video copy detection method using discrete wavelet transform is presented here. Daubechies wavelet transform is used to obtain feature descriptor from video frames. The computation required for similarity search is also reduced in this work. MUSCLE-VCD-2007, the CIVR 2007 publicly available Video Copy Detection database is chosen for validating purpose. The exper ....etc

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DWT Based Blind Digital Video Watermarking Scheme for
Video Authentication


INTRODUCTION

Video is a three-dimensional array of color pixels. Two
dimensions serve as spatial (horizontal and vertical) directions of
the moving pictures, and one dimension represents the time
domain . Digital video offers a number of advantages over
analog video, including the ease of sharing and storage, no
degradation of data quality when replicated, easy and inexpensive
copying and the capa ....etc

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to get information about the topic forgery detection in image full report refer the page link bellow

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image copy move forgery detection ppt

What is the best algorithm for copy-move forgery detection (CMFD)?
A copy-move forgery is created by copying and pasting content within the same image, and potentially postprocessing it. In recent years, the detection of copy-move forgeries has become one of the most actively researched topics in blind image forensics. A considerable number of different algorithms have been proposed focusing on different types of postprocessed copies.In our paper An Evaluation of Popular Copy-Move Forgery Detection Approa ....etc

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An Image-Based Approach to Video Copy Detection With Spatio-Temporal Post-Filtering


INTRODUCTION

Common distortions are
1. scaling
2. compression
3. cropping
4. camcording

SPATIO-TEMPORAL VERIFICATION

Spatio-Temporal Transformation

Temporal Grouping

Spatial Verification(next)

Score Aggregation Strategy

conclution
Our video copy detection system outperforms other submitted results on all transformations. This is due to a very accurate image- ....etc

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matlab code for copy move forgery detection using dct

%L = imread('images/lena3.jpg');
L = imread('images/Toronto2_F.png');
L=rgb2gray(L);
figure(1);
imshow(L);

b=256; % block size used to look for duplicates
b1=sqrt(b);
Nn = 5; % how many close rows to check
Nd = 15; %Threashold
Nc=26; % Truncate PCA at this length
Nt=26;

% calculate the total size of the image
n = numel(L);

b2 = sqrt(n)-sqrt(b)+1;
% calculate Nb
Nb= power((sqrt(n)-sqrt(b)+1),2);

% the matix of Nc plus the position
M=zeros(Nb, Nc);
% temp index array
Mi = zeros(Nb, 2); ....etc

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