Video creation has been revolutionized by AI and machine learning. Today, you don’t need to manually edit hours of footage. Simply use AI to create a storyboard and automatically engage videos. In 2016, IBM asked its supercomputer, Watson, to make a trailer for the scary movie Morgan. Data from a thousand other trailers were fed to Watson, which then learned the integral parts of a movie trailer.
With all the scenes and clips from Morgan, Watson created a brand new trailer with all the right transitions and edits, taking less than five minutes. Machine learning and artificial intelligence have various uses, but they have also found a home in the video-editing field. An example of this is Google Clips, an intelligent clip-on camera with an AI engine that accurately picks up the best expressions for specific moments.
AI is involved in a few aspects of video editing, such as making recommendations for removing objects, interpreting videos better, and assisting with decisions in animations. The Stanford University team used AI to automate the video editing process. A human designer can make adjustments after the preview. Another example is the Copymatic AI, which creates blog posts in minutes with a quality on par with a human writer.
The AI in video creation has greatly improved over the last five years. Human intervention is mostly no longer needed because AI can create many kinds of videos. An AI was able to create a high-quality trailer for Morgan, despite never having seen the film before. Watson took in information about past movie trailers and then put this information together with raw audio and video footage from the movie to make a whole new trailer.
Google has developed a camera that automatically selects moments without any human intervention. The system is evolving these capabilities by analyzing how users interact with previous clips.
Instead of just recommending videos to watch, AI is also being used for more creative purposes, in things like color correction, image stabilization, and video editing. The AI-powered Adobe Creative Cloud makes it easier for users to edit videos without needing human touch. It recognizes particular features in a video to help create the best possible content, just like how humans would cut out parts you don’t need from a video or clip them to make them shorter.
Eliminating Time Wastage
Video creators have to manually code their video footage with searchable tags, which can take a long time. With AI, the tags are automatically applied, and the perfect video is made much more efficiently. This can provide a huge boost of productivity for those who need to get a video up quickly to meet deadlines.
Video creators are often submerged in gigabytes of data. Finding the perfect shot in this muddle is back-breaking work. As a stopgap solution, video creators use manual tags to categorize and track their videos. This process is back-breaking, time-consuming, and error-prone. Recently, a new solution has emerged called AI video. AI video automates the task of tagging videos with various parameters like length, genre, and location. This means that video creators can spend less time searching for the right shot and more time creating great content.
Video creation is a difficult task for anyone, but it becomes even more daunting for video editors who are constantly inundated with gigabytes of data. To simplify the process for video creators, many platforms now incorporate artificial intelligence (AI) into the editing process. This technology automatically tags videos with various parameters, such as time, location, and topic. This makes it much easier for video editors to search for the perfect shot.
Predicting Watchability Of A Video
Video content usage in social media has boomed in the last couple of years. A 2018 Social Media Marketing Trends survey says that 73% of consumers factor in the brand’s social media presence while buying their products. Savvy marketers are constantly racking their brains to figure out what video ads will work well with audiences and generate maximum traction. Adobe’s #VideoAdAI service uses deep learning to automatically generate categories, tags, and other metadata. The AI parses the sounds, visuals, and other information to pinpoint demographic segments relevant to a particular platform. This enables marketers to distribute the ad on the correct platform, thus increasing the likelihood of the ad getting more eyeballs.
Automating Post-production
Video creation has traditionally been riddled with mundane, repetitive functions that scream to be smoothed out. For instance, the set of thumbnails, captions, and summaries required on Facebook differ from the set of constraints on Instagram. AI can mitigate this time-consuming process, optimizing videos for different platforms in one shot. This eliminates the tedious process of manually optimizing content for different social media, screen sizes, and devices. AI can also assist with another mind-numbing video editing function, color correction. Premiere Pro CC has a built-in AI-infused Color Match feature, applying color correction settings across all shots in a scene. It is particularly good at matching skin tones and detecting faces.
Seamless Audio-video Integration
Nothing spoils the user’s video experience as much as an out-of-sync audio track. Videographers, therefore, spend a lot of man-hours manually syncing audio with video, precious time they can otherwise spend on more creative processes like content development. You can use Adobe’s Sensei AI technology to automatically adjust sound levels, synchronize dialogue with mouth movements perfectly, control musical effects, and improve video quality. Premiere Pro’s Morph Cut feature removes jarring transitions and unnecessary pauses. The smart Auto-Ducking feature intelligently lowers the sound or music volume around dialogue automatically, enhancing the user experience further.Â
Convert Text To VideoÂ
Perhaps the best example of AI magic in the video creation process is the ability to automatically convert long-form blogs into immersive videos. Just paste the blog/article link, and the AI auto-fetches all the textual content neatly. Then you can just select eye-catching sentences, and the algorithm instantly generates connotative background visuals and video clips based on the keywords in the sentence. This is a great way for marketers to repurpose old content in an entirely new, fresh format, thus amplifying its reach.
What we’re seeing today is just the tip of the iceberg. In the future, we’re going to see AI being used in many more mainstream video creation tasks, helping the average video maker streamline her production process and reduce her workload drastically. This helps the creator focus on the more creative aspects of the job while letting technology do the heavy lifting.
About Post Author
