Digital video tampering detection: An overview of passive techniques

Video content authentication techniques: a comprehensive survey

“…Furthermore, in the absence of such crucial references, it would become difficult to completely understand the current state of affairs of the digital video forensics domain. A recent survey [31] reviews passive video forgery detection techniques and offers quite an informative study of the basics of this field. However, this work too overlooked several important works of merit.…”

“…The absence of such information may negatively affect the extent of comprehension of the subject matter thereof. The study in [31] lacked rigorous analysis; it also lacked thorough exposition of both the video anti-forensics domain and the open issues that need to be tackled in the near future. A noteworthy paper [32] provides an overview of the advancements in the field of information forensics, wherein the authors have examined the subjects of device forensics, embedded fingerprinting, and watermarking, and environmental signatures, such as electric network frequency (ENF), have also analyzed various social factors and behavior dynamics pertaining to the field of forensics.…”

“…[8], which are cropped and resized to eliminate objects at the extremities of the frames, thereby producing the forged frames (b) and (d), respectively [9,10] Over the years, a multitude of image forensic techniques have been developed, and have subsequently been analyzed and catalogued in various surveys [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27]. However, only a few papers [11,[28][29][30][31] have appraised the innovations in the field of video forensics.…”

A new video forgery detection approach based on forgery line

“…The works in the literature can be grouped into three categories according to their goals [5]. The methods in the first category aim to detect forgery operations by using traces of double or multiple compression, because the malicious user must resave the forged video after the tampering operation.…”

A Content Management Perspective on Fact-Checking

“…First, audio, image and video processing have been very dynamic on this subject, notably through the field of multimedia forensics (image [6,57,70] or video [42,55]), leading to verification systems and services such as RevEye, Tineye or In-VID [61]; we do not cover their specific techniques and instead point to the above references. Second, the area of fake news detection is closely related to fact checking, yet we view it as slightly distinct: the former includes any method for classifying a news item as true or false, including methods that do not consider the actual content of the news but instead focus on aspects such as its linguistic style or its pattern of propagation in a social network [49,50,54].…”