Category Archives: research

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10 Questions to a founder : Beautifeye

While we are all aware photos have a massively dominating position on the web, we are also painfully aware of how little is done to tap into this massive source of data.  What people photograph and share reveal a lot about what they can and will consume. Few  startups offer solutions, mostly because the task is not simple.  The massive volume, the separated ( and walled) locations, the current limitations of content recognition makes it extremely difficult to return meaningful and actionable results. However, some jump…

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Study : The Rise Of User-Generated Photos

Key findings from galleri5’s survey on online photo sharing Since the beginning of human evolution, communication has been visual first and foremost. In today’s interconnected digital world, the mobile & social revolution is leading to an explosion of digital visual content at a pace never imagined before. Nearly 1.8 billion photos are uploaded and shared on social media every single day from everyday users like you and me. This power of user-generated visual content had both intrigued and excited us at galleri5. With more mobile…

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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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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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Visualizing User-Generated Content to Better Understand Humanity

Making sense of the trillions of images now available on-line can reveal fascinating information about our society. Taking the first steps in this complex field that mixes art, computer science and sociology, Dr Lev Manovich, professor at the Graduate Center of the City University of New York explains, via a few of his projects, how we can learn by just looking at what others are capturing. This is the transcript of his 2015 LDV Vision Summit presentation: We all hear this expression “thinking outside of…

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Moving beyond the ”top ranking or perish” app world

With more and more photo and video apps listed in the iTunes and Google Play stores (around 80K at this point, more than double the number of two years ago), it’s no surprise that breaking into the app stores’ top rankings is getting harder and harder. But it’s not just a matter of so many apps vying for the coveted top store rankings. In today’s app stores the best recipe for an app to achieve high download numbers… is to have high download numbers and…

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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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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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10 Questions for a Founder : Imagga

While big companies like Google, Yahoo, Microsoft, Facebook pour millions into visual content recognition in order to make sense of the billions of images uploaded to their services, smaller companies offer the same solutions to anyone interested in using deep learning to classify images and videos automatically. Straight out of Bulgaria and with years of on the field experience for a variety of companies, Imagga is one that certainly carries its weight in this field. We caught up with founder and CEO Georgi Kadrev to…

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scene detect by Qualcomm

How future cameras may be able to auto-tag your photos

With over a trillion photos created every year, one feature that could help people make sense of their massive photo collections could be object-recognition and automatic tagging. If your camera and photo management software can figure out what’s in your shots, it’ll make searching through old photos much easier and intuitive. Companies and researchers are working hard on pushing this field forward. Photo sharing services are already adding auto-tagging to their systems — Flickr and Google had to work out some early “racist” bugs —…

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