Skip to content Skip to navigation

Research & Ideas

Search this site

​Maneesh Agrawala: Artificial intelligence comes to multimedia

​Stanford professors Russ Altman and Maneesh Agrawala explore advances in media where AI handles the rough cut, and editing becomes like using word processors for images and sound.

Collage with two men looking at a device, with soundwaves in the background.

Could enhanced media editing tools help journalists tell better stories? | Illustration by Stefani Billings

As the digital world grows, the sheer amount of video and audio in our lives has become overwhelming.

It is easy to shoot and record, but few have the patience to endure the tedium of editing all that content into cogent stories. But, says Maneesh Agrawala, Forest Baskett professor of computer science, all that is about to change.

Agrawala is director of the Brown Center for Media Innovation at Stanford and says that advances in software and in artificial intelligence are making the editing of sound and images more like editing words with a word processor. Soon, the drudgery of the rough cut will be relegated to the past, empowering the storytellers to tell more, and better, stories.

In this episode of The Future of Everything radio show and podcast, Russ Altman and Agrawala talk about the coming age of multimedia editing.

You can listen to the Future of Everything on iTunes, Google Podcasts, SoundCloud, Spotify, Stitcher or via Stanford Engineering Magazine.