Category Archives: computer vision

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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 : Analyzing Satellite Imagery

One of the lesser known application of data mining from images is satellite imagery. Mostly because it services businesses more than  consumers. However, the combination of much larger pools of available images and advances in neural networks has made it one of the most promising and exciting field of visual tech. Second transcript from last year’s LDV Vision Summit, we give you Analyzing Satellite Imagery by James Crawford, Founder, Orbital Insight I am James Crawford from Orbital Insight. our Company is based on—as many software companies…

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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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Visual recognition goes mainstream : Clarifai launches the Forevery app

When the 1,000-pound gorilla eats your lunch, you eat his breakfast:  Right on the heel of Google’s opening its visual recognition API for free to anyone, Clarifai launches today a free consumers app that can store and classify photo which could very well give a run for its money to Google’s Photo app. Constructed entirely on the company’s award-winning  deep learning visual recognition engine, the  Forevery app might become the favorite companion of every mobile shutterbug out there. The process is simple. Import your images and…

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Google Cloud Vision API and its impact on the image recognition industry

Google has recently launched its Cloud Vision API, making it easier for companies to build all sorts of applications using its image recognition. Even more, Google is offering it for free to begin with. This puts the whole image recognition industry into a different motion, and there are many other vendors that might get out of business soon. To find out more about how the image recognition industry is impacted, we interviewed Guangda Li, the Co-Founder and CTO at ViSenze, a machine intelligence company that…

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Understanding Images

Our relationship with the camera, the lens and the image is evolving. The static stance of capturing a moment in a photograph is still there, but this is rapidly changing. With the help of new emerging technologies, photography is becoming ubiquitous and pervasive. The advent of machine vision, deep learning, semantic search, augmented reality and virtual reality among other exponential technologies will inspire us to discover, create and experience more great imagery than ever before in human history. Intelligent algorithms will inspire and teach us to…

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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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Facial recognition

There is money in your face

Facial recognition  has been around for a while. At first and for a long time, it was only used for auto-tagging familiar faces on social media and in photo albums. Meanwhile, security agencies and law enforcement found that it could become an invaluable tool in their ongoing battle against crime fueling its development, to the dismay of civil liberties  organisation. But it is not until very recently that the field has discovered that it could bring much more, in the form of hard advertising cash. Beyond…

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