Category Archives: visual recognition

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10 Questions for a founder : SnapRapid

Advertising, and in particular sponsorship, used to be a simple process. A brand would buy the rights to put their logo on a  team and would enjoy the returns of being associated with a sport franchise, mostly via TV air time. However, with more than a billion photos uploaded a day, along with videos, the metrics have changed dramatically.  To the point that sometimes, exposure on social media far exceeds any TV  broadcast. With far richer engagements and a life span that extends sometimes weeks…

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LDV Vision Summit : A recap

Tell me something I don’t know. Every year, this is the challenge raised by the LDV Vision Summit in front of an audience made of experts in their fields, scientists, researchers, founders, CEO’s, investors and pundits. And every year, the same reaction: Wow, I didn’t know that. The 2016 edition, which just closed a few days ago, did not disappoint. In a field where breakthroughs are seemingly far between, there is still room for anyone to discover research, studies, applications or companies that reveal yet another…

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It’s coming! The Internet of Eyes will allow objects to see

In the near future, every inanimate object we interact with may not only have the ability to see, but could also improve our lives. In order for this visibility to happen, objects will need the assistance of visual sensors and cameras. Though hotly debated in privacy sectors, experts agree that dozens of tiny cameras and eventually nano cameras will soon be built into objects, providing devices the ability to see from every angle and in real time. As Serge Belongie, Professor of Computer Vision at…

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10 Questions for a 3D vision engineer : Gaile Gordon

Machine vision is partially blind. Of all the information a camera can capture, one essential part is always missing. Unlike popular belief, 3D capture is not about rendering a 3D environment but rather giving vision sensors the power to integrate depth, very much as our own eyes ( and brain) perform.  How we perceive and understand our world is very much influenced by our ability to integrate spatial dimension. Gaile Gordon, senior director of Technology at Enlighted, who has spent most of her career researching 3D…

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10 Questions for an investor: IBM Watson

After Watson’s success at winning Jeopardy competitions, IBM created a whole new business unit entirely dedicated to taking advantage of its impressive capabilities. Using cloud computing and  cognitive A.I., the IBM Watson ecosystem can process language, text, image, speech or data as input for anyone at any scale. Realizing that the biggest promises reside in the uncharted startup world, it soon dedicated a $100 M investment fund. Ahead of his participation as a judge at the LDV Vision Summit startup competition,  we sat down with…

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Abelardo Morell

The Camera of the Future = No Camera

For thousands of years humans have engaged in making visual records of the world around them. From the earliest Ice Age animal cave paintings to birthday photos of our children, a common value seems to be expressing itself through our ever evolving technologies and skills that create “visual likeness.” Charcoal, ink, dye, pigments — these were the earliest materials. But it was the technological innovation of the camera and light-sensitive materials over 170 years ago that truly changed the game and the trajectory. Consumer digital imaging sensors are…

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LDV Vision Summit : Computational Photography and video

As a refresher for those who did make it and a discovery for those who couldn’t, we will be publishing a series of transcripts from last year’s LDV Vision Summit.  First on our list is this conversation around computational photography and video from some of the top experts in the field: Moderator: Evan Nisselson, LDV Capital Panelists: Michael Cohen, Principal Researcher, Microsoft Research *,  Paul Green, CTO & Co-Founder, Algolux and Ramesh Raskar, Associate Professor, MIT Media Lab Evan Nisselson: I’d like to invite up our panelists—Michael…

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10 questions to a founder : Yarn

With an estimated 1.2 trillion photos taken in 2015, it is no wonder that most vanish in the deep grooves of some remote hard drive. And while it takes on a few fractions of a second to capture a photo, it seems to  take an eternity ( along with herculean efforts) to retrieve then. The irony of it all is that, for an instrument that should enhance our memorial faculties, it gives  us a harder time trying to recall if and where we stored that…

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What to watch for in 2016

The 2015 year ends pretty much as it started. Some promises were delivered, some fell short. At least for now. With mobile continuing to dominate as the number one gateway to the online experience and visual being its strongest appeal, one would have thought that visual tech would have exploded by now. But not yet. At least not at full capacity. While image advertising has taken a foothold on all major social media site, with Facebook, Instagram and Pinterest adding a “buy” button within  photos,…

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What Google’s new open source TensorFlow and Cloud Vision API mean for photo app developers

When discussing this year’s Mobile Photo Connect “Prospering in the emerging Photos at your Fingertips” theme, several photo app developers commented along the lines of “Wouldn’t it be nice if… companies such as Google or Facebook would share their machine learning and image recognition technologies with all of us?” Few expected this was likely to ever happen, let alone within weeks after the conference. On November 9 Google announced its open source TensorFlow machine-learning framework, followed three weeks later by its Cloud Vision image recognition…

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