Chroma key foreground forgery detection under various attacks in digital video based on frame edge identification

Author(s):  
Gurvinder Singh ◽  
Kulbir Singh
2018 ◽  
Vol 7 (4.6) ◽  
pp. 373
Author(s):  
Anto Crescentia.A ◽  
Sujatha. G

Video tampering and integrity detection can be defined as methods of alteration of the contents of the video which will enable it to hide objects, an occasion or adjust the importance passed on by the collection of images in the video. Modification of video contents is growing rapidly due to the expansion of the video procurement gadgets and great video altering programming devices. Subsequently verification of video files is transforming into something very vital. Video integrity verification aims to search out the hints of altering and subsequently asses the realness and uprightness of the video. These strategies might be ordered into active and passive techniques. Therefore our area of concern in this paper is to present our views on different passive video tampering detection strategies and integrity check. Passive video tampering identification strategies are grouped into consequent three classifications depending on the type of counterfeiting as: Detection of double or multiple compressed videos, Region altering recognition and Video inter-frame forgery detection. So as to detect the tampering of the video, it is split into frames and hash is generated for a group of frames referred to as Group of Pictures. This hash value is verified by the receiver to detect tampering.    


Author(s):  
YUTING SU ◽  
JING ZHANG ◽  
YU HAN ◽  
JING CHEN ◽  
QINGZHONG LIU

A novel approach for detecting video logo-removal forgery is proposed by measuring inconsistency of blur. Our approach is based on the assumption that if a digital video undergoes logo-removal forgery; the blurriness of the forged region is expected to be different as compared to the nontampered parts of the video. Blurriness is first estimated by analyzing the spatial and temporal statistical property of logo areas, and suspicious areas are roughly located; then features are extracted and a fine classification is implemented by applying support vector machine (SVM) to extract features. If the suspicious areas and the reference areas are classified into different classes, the video is judged as a forged video. Experimental results show that our method is robust to video lossy compression for logo-removal forgery detection with the advantages of high classification accuracy and low computation cost.


Author(s):  
Ruksana Habeeb ◽  
L. C. Manikandan

Technological advancements of various video and image editing tools has reached such a level that the tampering of digital video or image can be performed easily without degrading their quality or leaving any visual evidence. This review paper presents an overview of various types of video forgery and the different types of techniques that are employed for its detection. Passive and active forgery detection techniques are commonly used methods for detecting the tampering in a digital video. Passive and active tampering detection techniques are utilized for detecting the integrity as well as the authenticity of a given video. The aim of this review is to provide some productive information about video tampering attacks for upcoming researchers.


-We are living in the era of multimedia technology. Digital video occupies an imperative role in our daily life. With the use of omnipresent multimedia technology, we can create process, transmit and store digital information in many forms such as an image, audio and video. Digital video is convenient tool in forensic investigation, medical treatment, education, entertainment and other disparate fields. Videos are recorded by the people with their smart phones, camcorders, digital cameras and CCTV cameras. We have seen the rapid growth and development in the use of surveillance cameras. Videos recorded using these electronic and smart gadgets mostly contain crucial proof of most of the events. Inasmuch, the most affected to inter frame forgery which can be freely done by replication, insertion, removal and deletion of frames. However, the advancement and usage of inexpensive and effortless video editor software there has been tremendous growth in the consequences and risks of usage such editing techniques. Therefore, forgery is a technique of getting altered, fake and duplicate videos by joining, altering new video. Hence, the genuineness of such digital videos questionable and requires to be verified. In this paper review various video forgery detection methods those are applied to detect whether the video is original or duplicate, real or fake and digital video authentication techniques.


2016 ◽  
Vol 19 ◽  
pp. 29-43 ◽  
Author(s):  
Mustapha Aminu Bagiwa ◽  
Ainuddin Wahid Abdul Wahab ◽  
Mohd Yamani Idna Idris ◽  
Suleman Khan ◽  
Kim-Kwang Raymond Choo

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