No, we are not referring to using it to organize the video folder you have on your PC -unless there are many-. Artificial Intelligence is beginning to be useful to organize them when it comes to thousands, hundreds of thousands, like those that are published daily on platforms such as YouTube, TikTok and Instagram. There, AI can be particularly valuable.
Netra, a company founded by MIT alumni, uses artificial intelligence to improve video analysis at scale. The company’s system identifies activities, objects, emotions, locations, and more to organize and add context to videos in new ways.
A help to pair videos with relevant advertising
Several firms are already using Netra’s solution to group similar content into compilations and news segments, to detect nudity and violence, and to improve advertising engagement. In the latter field, Netra helps ensure that videos are paired with relevant advertising so that brands can stop tracking people, which has led to privacy concerns.
“The industry is shifting towards content-based advertising, what they call affinity advertising, and away from cookie-based and pixel-based tracking, which has always been a bit unsettling,” says Shashi Kant, co-founder and CTO of Netra.
Netra also believes that it will improve the search for video content. Once these have been processed by the company’s system, users can perform a search using a keyboard. From there, they can click on the results to see similar content and find more and more specific events.
For example, Netra’s system can process an entire season of soccer videos and help users find all the goals. By clicking on certain matches, you can also find all the goals that excited the public.
The new great source of information
“Video is by far the largest information resource today. It beats text by several magnitudes in terms of information richness and size, yet no one has touched that ground as a search. It is the whitest of blank spaces.”
Internet pioneer and MIT professor Sir Tim Berners-Lee has long worked on improving the ability of machines to understand the Internet. Kant conducted his research under the supervision of Berners-Lee and was inspired by his vision to improve the way machines store and use information.
