AI has won at Go and done a few other cool things, but so far it’s been mighty unimpressive at harder tasks like customers service , Twitter engagement and script writing . However, a new algorithm from researchers at Stanford and Adobe has shown it’s pretty damn good at video dialogue editing, something that requires artistry, skill and considerable time. The bot not only removes the drudgery, but can edit clips using multiple film styles to suit the project. First of all, the system can organize “takes” and match them to lines of dialogue from the script. It can also do voice, face and emotion recognition to encode the type of shot, intensity of the actor’s feelings, camera framing and other things. Since directors can shoot up to 10 takes per scene (or way more , in the case of auteurs like Stanley Kubrick), that alone can save hours. However, the real power of the system is doing “idiom” editing based on the rules of film language. For instance, many scenes start with a wide “establishing” shot so that the viewer knows where they are. You can also use leisurely or fast pacing, emphasize a certain character, intensify emotions or keep shot types (like wide or closeup) consistent. Such idioms are generally used to best tell the story in the way the director intended. All the editor has to do is drop their preferred idioms into the system, and it will cut the scene to match automatically, following the script. In an example shown (below), the team selected “start wide” to establish the scene, “avoid jump cuts” for a cinematic (non-YouTube) style, “emphasize character” (“Stacey”) and use a faster-paced performance. The system instantly created a cut that was pretty darn watchable, closely hewing to the comedic style that the script was going for. The team then shuffled the idioms, and it generated a “YouTube” style that emphasized hyperactive pacing and jump cuts. What’s best (or worst, perhaps for professional editors) is that the algorithm was able to assemble the 71-second cut within two to three seconds and switch to a completely different style instantly. Meanwhile, it took an editor three hours to cut the same sequence by hand, counting the time it took to watch each take. The system only works for dialogue, and not action or other types of sequences. It also has no way to judge the quality of the performance, naturalism and emotional beats in take. Editors, producers and directors still have to examine all the video that was shot, so AI is not going to take those jobs away anytime soon. However it looks like it’s about ready to replace the assistant editors who organize all the materials, or at least do a good chunk of their work. More importantly, it could remove a lot of the slogging normally required to edit, and let an editor see some quick cuts based on different styles. That would leave more time for fine-tuning, where their skill and artistic talent are most crucial. Source: Stanford
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AI film editor can cut scenes in seconds to suit your style
New submitter threc shares a report from MIT Technology Review: The tech world descended on Washington, D.C. yesterday to attend a tech summit at the White House. According to MIT Technology Review associate editor Jamie Condliffe: “Trump suggested he might relax his stance on immigration as a way to get tech leaders to help his cause. ‘You can get the people you want, ‘ he told the assembled CEOs. That sweetener may be a response to a very vocal backlash in the tech world against the administration’s recent travel bans. Trump may hope that his business-friendly stance will offer enough allure: if tech giants scratch his back, he may later deign to scratch theirs.” The report continues: “‘Our goal is to lead a sweeping transformation of the federal government’s technology that will deliver dramatically better services for citizens, ‘ said Trump at the start of his meeting with the CEOs, according to the Washington Post. ‘We’re embracing big change, bold thinking, and outsider perspectives.’ The headline announcement from the event was Trump’s promise to overhaul creaking government computing infrastructure. According to Jared Kushner, the president’s son-in-law and advisor, there’s much to be done: federal agencies have over 6, 000 data centers that could be consolidated, for instance, while the 10 oldest networks in use by the government are all at least 39 years old. The upgrade, said Trump, could save the country $1 trillion over the next 10 years.” Read more of this story at Slashdot.