Category Archives: Emotion analysis

Photo by Sharon McCutcheon from Pexels

2019 : The year of the face

It’s been ten years since Instagram launched and not long after, the selfie. It has taken the same amount of time for visual recognition to understand how to read our faces. If anything, 2019 has been the year where faces have taken center stage of visual tech, for good and bad… All of your faces are belong to us The most frequent usage of our faces is facial recognition for surveillance and security. It is has been the most visible because it is the most controversial. Fueled by a competitive…

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What to expect in 2019 (and beyond)

As the year comes to a close, it is an excellent time to review the emerging visual tech trends ( and failures) and predict those that will have a significant impact in 2019 and beyond.  Without further notice and in no particular order, here they are: Eyes in your house : There is a race, right now, to get cameras in your homes.  Siri, Alexa, and Google Assistant voice search are getting eyes, to serve you better. As they insert more deeply into our lives, they…

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Ubiquitous photography

One of the most important announcement during Google latest release event has mainly passed under the radar or simply dismissed as a gadget. The Pixel Clip camera is a small device that can be attached anywhere and, using a simple A.I.,  continuously takes photos when it recognizes familiar faces. Perfect for busy parents who like to record everything but do not want to break the moment by picking up their phones to take a picture. But, beyond the convenience, Google just might have open the door to a new type of…

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By 2022, there will be 45 Billion Cameras

It might have all started when Snapchat rebranded itself “A camera company”. Or even long before, in 2002, when Nokia decided to put a camera on their cell phones.  Whenever it happened, it is still really only the beginning… “It” is the moment the camera became forever separated from its original format, a lens on a movable box, and its original intent, recording personal memories. The shift was triggered when film became digital and thus transforming images into data files. Not only could images be easily and…

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You Are Brilliant and You Want More Exposure

Every second of every day, people around the world are publishing research papers and launching new startups that leverage computer vision, machine learning, and artificial intelligence. Researchers and professors want their work to be noticed in the midst of a flood of new work. Entrepreneurs want to build valuable businesses, get covered in Techcrunch, Wired, Wall Street Journal, want to raise financing and want happy customers. We want to help you! We have been organizing the premier annual visual technology summit since 2014 called the…

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5 trends to look for in 2017

With the new year comes the predictions. However, this year, instead of trying to predict what will happen, we prefer to take aim at what we see will be the top major trends in the visual space. We limited ourselves at five in an effort to be succinct and we picked those that will affect people more broadly.  In no particular order, here they are: Images as a source of comprehension We can now comfortably have computers tell us what is depicted in photos or videos. From…

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Is Amazon serious about visual recognition ?

Amazon is the latest big company to throw itself into the visual content recognition market.  Armed with the late 2015 acquisition of Orbeus, makers of ReKognition and Photo Time, it just launched its own APi service, also called ReKognition. After giants like Google, IBM, Microsoft, and smaller companies like Imagga or Clarifai, it is the latest, and maybe most formidable, offering in this space At first glance, nothing really new here, if compared to other similar services. In fact, it seems that Amazon is done little…

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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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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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