Deep Convolutional Neural Network for Graphics Forgery Detection in Video

• Published in: Wireless personal communications Vol. 112; no. 3; pp. 1763 - 1781
• Main Authors: Kaur, Harpreet, Jindal, Neeru
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.06.2020; Springer Nature B.V
• Subjects: Abnormalities; Algorithms; Artificial neural networks; Communications Engineering; Computer Communication Networks; Computer simulation; Decoders; Engineering; Forgery; Frames (data processing); Machine learning; Networks; Neural networks; Signal,Image and Speech Processing; Accuracy; Forged frames; Deep convolutional neural network; Doctored video

Doctored video generation with easily accessible editing software has proved to be a major problem in maintaining its authenticity. Nowadays, deep neural networks have been recognized as an effective technique in eradicating such troubles and classify the abnormal variations in the videos directly b...