Nowadays, videos are core part of live entertainment in television and movies, and they are breathing of real entertainment world. People believe movies and video snaps in everywhere of digital media. Digital Photo images are everywhere: on the covers of magazines, in newspapers, in courtrooms, and all over the Internet. We are exposed to them throughout the day and most of the time, we trus t what we see. Trusting unbelievable video may create sensation over the news and gossip media world. The identified telecasted and for e casted video's truthfulness is challenging in multimedia. We propose methodologies to identify the forgery region frames from given input video by using EXIF image tag information
CITATION STYLE
CPatel, H., & M Patel, M. (2015). An Improvement of Forgery Video Detection Technique using Error Level Analysis. International Journal of Computer Applications, 111(15), 26–28. https://doi.org/10.5120/19615-1508
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