Image and video forensics have recently gained increasing attention due to the proliferation of manipulated images and videos, especially on social media platforms, such as Twitter and Instagram, which spread disinformation and fake news. This survey explores image and video identification and forgery detection covering both manipulated digital media and generative media. However, media forgery detection techniques are susceptible to anti-forensics; on the other hand, such anti-forensics techniques can themselves be detected. We therefore further cover both anti-forensics and counter anti-forensics techniques in image and video. Finally, we conclude this survey by highlighting some open problems in this domain.

翻译：图像与视频取证技术近期因伪造图像与视频的泛滥而日益受到关注，尤其在Twitter和Instagram等社交媒体平台上，这些内容常被用于传播虚假信息与假新闻。本综述探讨了图像与视频的识别及伪造检测技术，涵盖经过数字处理及生成式媒体内容。然而，媒体伪造检测技术易受反取证手段攻击，而此类反取证技术本身亦可被检测。因此，本文进一步梳理了图像与视频领域的反取证及反反取证技术，最后通过指出该领域若干未解决的关键问题对综述进行总结。