• Kamal kishore

With the advancement in technology Video processing tools and techniques are available for altering the Videos for forgery. The modification or changes in current Video is vital to detect since this Video can be used in the authentication process. Video credibility hence required to be verified. This is accomplished by the use of forgery detection mechanism. There are different ways by which Video can be tempered. For example: resampling, copy and move, splicing etc. In this paper techniques used to detect forgery from within the Video is analysed. The techniques analysed in this literature includes i) inter frame forgery detection ii) intra frame forgery detection iii) object based mechanism iv) pixel based approach. Examination of different techniques and expressing best possible mechanism for forgery detection is aim of this literature. Object based and pixel based approaches are of prime concern in most of research work. Object based approach uses applications of abstraction and provide difference approach to detect maliciousness within video. Pixel based approach can handle forgery but modification in terms of neighborhood selection must be made for better classification accuracy.

Forgery, forgery detection, copy move, splicing

" Analysis of Various Fraud in Videos Detection Types And Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 10, page no.d590-d606, October-2022, Available :http://www.jetir.org/papers/JETIR2210388.pdf

" Analysis of Various Fraud in Videos Detection Types And Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 10, page no. ppd590-d606, October-2022, Available at : http://www.jetir.org/papers/JETIR2210388.pdf