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Thanks to technical improvements in different video and photo processing tools, digital video may now be manipulated rapidly and efficiently.This review focuses on passive techniques for spotting fake digital videos.Instead of employing pre-embedded data, passive forgery detection techniques may be used to assess a video's authenticity.The techniques for detecting forgeries make use of statistical or mathematical properties that are altered as a result of video manipulation.The passive video forgery detection approach has great promise for pattern recognition, information security, and multimedia security.The methodologies used for passive video forensics are divided into three categories in this study: statistical video feature correlation, frame-based statistical anomaly
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Kewlani et al. (2022) studied this question.
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