Abstract
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. Trusting such unbelievable video may create sensation over the news and gossip media world. Identifying such telecasted and forecasted video's truthfulness is challenging in multimedia forensic and video forensic area. In this regard, we propose a methodology which detects the forgery region frames from given input video by using mean frame comparison techniques. © 2014 Springer India.
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Chittapur, G. B., Murali, S., Prabhakara, H. S., & Anami, B. S. (2014). Exposing digital forgery in video by mean frame comparison techniques. In Lecture Notes in Electrical Engineering (Vol. 248 LNEE, pp. 557–562). Springer Verlag. https://doi.org/10.1007/978-81-322-1157-0_57
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