And if you have trained the system, we can also recognize brand of that sunglass. Sandeep: Or it recognizes maybe something she’s wearing, maybe sunglasses that she’s wearing. Tim: As it scans through the video, it could actually recognize not just there is a person here but wow, that’s Angelina Jolie or. We actually use machine learning to understand the context of a video, whether the video has scenes that’s of interest, celebrities that have certain status that we think we should be surfacing for discovery, as well as objects which might be interesting for monetization within the video. But what’s going on in the backend is a much more deeper technology. Sandeep: What you see as an end product is what you just described which is more of a pictorial summary of a video.

It’s kind of a storyboard or a comic book view. But if I understand it correctly, you use AI to create paneled previews of videos. Tim: It’s so hard to describe video on an audio podcast. Sandeep: Thank you, Tim, and thanks for the opportunity to talk to your audience. Tim: So I’m sitting here with Sandeep Casi of Videogram, which is an amazing video product. So let’s hear from our sponsor and get right to the interview. We also share some real-world suggestions on how foreign founders can successfully raise multiple funding rounds in Japan.īut you know, Sandeep tells that story much better than I can. In fact, you could say there’s almost a built-in conflict of interest. Sandeep also has some really practical advice for participating in corporate accelerators and for new things startups absolutely must keep in mind when trying to sell innovative products to large enterprises. It’s something we might be seeing a lot more of in Japan because the model is so well-suited to conditions here in Japan. Sandeep and his team followed a very different startup model than what we see in Silicon Valley. We talk not only about the future of video but also about a new model for unlocking some of the intellectual property that’s currently locked up in large Japanese companies. You see, today we sit down and talk with Sandeep Casi, founder and CEO of Videogram.

But we’ll get to all of that in just a little bit. After listening back to this interview after I recorded it, it became clear that imaging the possibility in your mind’s eye us much more powerful than laying it all out for you in two dimensions. Now I grant you, this may sound like something that’s pretty hard to do in an audio format but I think is some ways it’s actually easier. Today, we’re going to be talking about the future of both how we create and how we consume video. I’m Tim Romero, and thanks for joining me. Welcome to Disrupting Japan, straight talk from Japan’s most successful entrepreneurs. It’s an interesting discussion, and I think you’ll enjoy it. We also dive into the paradox of enterprise innovation, and Sandeep explains a few things that all startups need to understand about corporate accelerators before joining. One that might become every bit as important as traditional seed-funded startups. Interestingly, Videogram was not founded the way most startups are, and Sandeep’s approach to leveraging the intellectual property locked up inside Japan’s large corporations might represent a unique and important avenue for innovation here in Japan. They’ve already had success in the enterprise realm, and they are now bringing the technology to consumers.

Sandeep Casi and his team at Videogram are using deep learning to change the way you and I discover and watch video. The way we discover and pay for video content has changed significantly, of course, but we still consume video in a continuous, linear sequence, and that’s about to change. Video is taking over the internet, but in many ways, it has not changed significantly in the past 40 years.

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