AI Manipulation of Videos has become easier

Discussion in 'Science, Tech, & Space Exploration' started by wwkirk, Jun 11, 2019.

  1. wwkirk

    wwkirk Celestial

    Edit video by editing text | Stanford News
    A new algorithm allows video editors to modify talking head videos as if they were editing text – copying, pasting, or adding and deleting words.

    Fried acknowledges concerns that such a technology might be used for illicit purposes, but says the risk is worth taking. Photo-editing software went through a similar reckoning, but in the end, people want to live in a world where photo-editing software is available.

    As a remedy, Fried says there are several options. One is to develop some sort of opt-in watermarking that would identify any content that had been edited and provide a full ledger of the edits. Moreover, researchers could develop better forensics such as digital or non-digital fingerprinting techniques to determine whether a video had been manipulated for ulterior purposes. In fact, this research and others like it also build the essential insights that are needed to develop better manipulation detection.

    None of the solutions can fix everything, so viewers must remain skeptical and cautious, Fried said. Besides, he added, there are already many other ways to manipulate video that are much easier to execute. He said that perhaps the most pressing matter is to raise public awareness and education on video manipulation, so people are better equipped to question and assess the veracity of synthetic content.

    Now it is Possible To Change the Video Speeches of Humans by Changing the Transcript Only / Digital Information World

    With time, video manipulation is becoming increasingly easier, especially with the advancement in AI (Artificial Intelligence). Researchers of Max Planck Institute for Informatics, Princeton University, and Stanford University in collaboration with Adobe created a new algorithm that allows changing human speech in the video by changing the transcript text.

    Characteristics of a speaker are well-maintained while the video is altered. First, the phonemes and pronunciation of words are analyzed from the original video and then a model is created so the mouth of the speaker replicates those movements accordingly.

    After the transcript is edited, the algorithm looks for the segments that comprise of those words’ lip movements. These movements are then replaced with the original.

    When a certain part is replaced, it can have several pauses and distortions. To make it look smooth and inflow, the algorithm does its part.

    Currently, the algorithm needs a minimum of 40 minutes of the original video for its training. A video (featured below) also has been released in which Stanford’s Ohad Fried explains an easy way to change phrases while maintaining its quality.

    The biggest drawback of this tech is that people may spread misinformation/fake videos by editing speeches of politicians, or influential people. However, Fried thinks the photo editing software does the same, and still, we have been living through it.

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