A new algorithm allows video editors to modify talking head videos as if they were editing text – copying, pasting, or adding and deleting words.
In television and film, actors often flub small bits of otherwise flawless performances. Other times they leave out a critical word. For editors, the only solution so far is to accept the flaws or fix them with expensive reshoots.
Imagine, however, if that editor could modify video using a text transcript. Much like word processing, the editor could easily add new words, delete unwanted ones or completely rearrange the pieces by dragging and dropping them as needed to assemble a finished video that looks almost flawless to the untrained eye.
A team of researchers from Stanford University, Max Planck Institute for Informatics, Princeton University and Adobe Research created such an algorithm for editing talking-head videos – videos showing speakers from the shoulders up.
The work could be a boon for video editors and producers but does raise concerns as people increasingly question the validity of images and videos online, the authors said. However, they propose some guidelines for using these tools that would alert viewers and performers that the video has been manipulated.
“Unfortunately, technologies like this will always attract bad actors,” said Ohad Fried, a postdoctoral scholar at Stanford. “But the struggle is worth it given the many creative video editing and content creation applications this enables.”
The application uses the new transcript to extract speech motions from various video pieces and, using machine learning, convert those into a final video that appears natural to the viewer – lip-synched and all.
“Visually, it’s seamless. There’s no need to rerecord anything,” said Fried, who is first author of a paper about the research published on the pre-publication website arXiv. It will also be in the journal ACM Transactions on Graphics. Fried works in the lab of Maneesh Agrawala, the Forest Baskett Professor in the School of Engineering and senior author of the paper. The project began when Fried was a graduate student working with computer scientist Adam Finkelstein at Princeton, more than two years ago.
Should an actor or performer flub a word or misspeak, the editor can simply edit the transcript and the application will assemble the right word from various words or portions of words spoken elsewhere in the video. It’s the equivalent of rewriting with video, much like a writer retypes a misspelled or unfit word. The algorithm does require at least 40 minutes of original video as input, however, so it won’t yet work with just any video sequence.
As the transcript is edited, the algorithm selects segments from elsewhere in the recorded video with motion that can be stitched to produce the new material. In their raw form these video segments would have jarring jump cuts and other visual flaws.
To make the video appear more natural, the algorithm applies intelligent smoothing to the motion parameters and renders a 3D animated version of the desired result. However, that rendered face is still far from realistic. As a final step, a machine learning technique called Neural Rendering converts the low-fidelity digital model into a photorealistic video in perfect lip-synch.
To test the capabilities of their system the researchers performed a series of complex edits including adding, removing and changing words, as well as translations to different languages, and even created full sentences as if from whole cloth.
In a crowd-sourced study with 138 participants, the team’s edits were rated as “real” almost 60 percent of the time. The visual quality is such that it is very close to the original, but Fried said there’s plenty of room for improvement.
“The implications for movie post-production are big,” said Ayush Tewari, a student at the Max Planck Institute for Informatics and the paper’s second author. It presents for the first time the possibility of fixing filmed dialogue without reshoots.
Nonetheless, in an era of synthesized fake videos such capabilities raise important ethical concerns, Fried added. There are very valuable and justifiable reasons to want to edit video in this way, namely the expense and effort required to rerecord or repair such flaws in video content, or to customize existing audio-visual video content by audience. Instructional videos might be fine-tuned to different languages or cultural backgrounds, for instance, or children’s stories could be adapted to different ages.
“This technology is really about better storytelling,” Fried said.
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.
The Latest on: Synthetic content
via Google News
The Latest on: Synthetic content
- The next phase of AI is generativeon August 23, 2021 at 1:02 am
In it's next act, AI will transform from an augmentative technology to a more direct generator of products and data, according to Gartner's 2021 Hype Cycle.
- Clean needles depend on the blue blood of horseshoe crabson August 22, 2021 at 9:00 pm
It's one of the stranger, lesser-known aspects of U.S. health care — the striking, milky-blue blood of horseshoe crabs is a critical component of tests to ensure injectable ...
- Global Mineral and Synthetic Greases Market 2021 by Manufacturers, Regions, Type and Application, Forecast to 2026on August 20, 2021 at 5:08 am
Pages Report] Check for Discount on Global Mineral and Synthetic Greases Market 2021 by Manufacturers, Regions, Type and Application, Forecast to 2026 report by Global Info Research. The Mineral and ...
- Synthetic Rubber Market Size Soaring at 5.5% CAGR to Reach 44 million USD by 2025on August 19, 2021 at 5:54 am
Expert verbatim infers that the worldwide Synthetic Rubber market is touted to grow with a CAGR of 5.5% over the study duration 2019-2025, thereby crossing USD 44 million mark by 2025, which was ...
- License your voice: AI solution paves way for synthetic vocalson August 19, 2021 at 3:01 am
An AI company in the US has launched a hyper-realistic Voice-as-a-Service (VaaS) solution that enables users to ‘create, manage, license and monetise’ synthetic voices.
- Synthetic Biology Tools Market Projected to Grow at a Steady Pace During 2021-2027 | Synthetic Genomics, Merck KGaAon August 18, 2021 at 8:35 am
This in detail Synthetic Biology Tools market analysis presents a review on crucial industries which are greatly helping to impel the market growth This market study report further depicts mergers ...
- Synthetic Citral Market Size and Share 2021| Market Overview, Covering COVID-19 Impact Analysis and Forecast to 2027on August 18, 2021 at 12:08 am
Final Report will add the analysis of the impact of COVID-19 on this industry.” “Synthetic Citral Market” report ...
- Synthetic Fibers Market Revenue Trends, Company Profiles, Revenue Share Analysis, 2017–2027on August 17, 2021 at 10:34 am
The global Synthetic Fibers market is forecasted to reach USD 98.88 Billion by 2027, according to a new report by Reports and Data. Over the forecast period, the superior chemical, physical and ...
- E10 fuel changes: Warning that new petrol could ‘counteract’ benefits of synthetic fuelson August 16, 2021 at 12:14 am
E10 PETROL will be making its way onto British forecourts in a matter of weeks as the Government pushes for a carbon-free future, but how sustainable is it?
- Synthesis AI’s Head of Artificial Intelligence Publishes The First Book on Synthetic Data for Deep Learningon August 10, 2021 at 6:03 am
Synthesis AI, a pioneer in synthetic data technologies, today announced Springer has published the book Synthetic Data for Deep Learning written by Head of Artificial Intelligence (AI), Sergey ...
via Bing News