Category Archives: computer vision

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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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Cloud or On-Premise visual A.I. : Which should you pick ?

Today, all of the visual recognition APIs are connected to the cloud making them not only extremely easy to deploy but highly scalable. However, not all data is equal and in some instances, this might not be the best route to take. Consider, for example, some of the intrinsic security issues of a cloud as listed by the CSA (Cloud Security Alliance): Data breaches, compromised credentials, account hijacking, malicious insiders, loss or theft of intellectual property, compliance violations or regulatory actions. While Google Cloud, Amazon…

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2017 LDV Vision Summit : A world of foresight

When electricity was finally mastered at the turn of the XX century, it triggered a whole new range of new products and industries while improving existing ones. From light bulbs to fans, fridges, air conditioning, factory tools little that we interact with today is not affected by electricity.  Today, computer vision is having the same effect. Now that it has reached a certain level of maturity, both in performance and availability, computer vision is opening a huge array of new opportunities and new businesses in…

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Google: what’s wrong with a lack of jaw-dropping announcements?

In short: Nothing. With an emphasis on incremental improvements to Google’s photo organizing, sharing and search solutions, Google’s maturing solutions are now becoming so easy, efficient, and helpful that many consumers will feel they can’t live without them. Perhaps equally important, Google is opening up more and more of its supporting AI technologies to developers – for companies who can’t afford to hire an army of AI PhDs. The Google I/O announcements important to mobile imaging vendors To put the photo-related announcements in perspective, note…

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Move over Snap: Facebook is the camera company to beat

It’s the platform, stupid Just as the world finally figured out why Snap relabeled itself as a camera company, last week Facebook proclaimed it’s not just a camera company, it’s a camera company built on the world’s ambitious augmented reality platform. Let’s add some perspectives to their F8 announcements: Recently, Facebook has put its camera front and center in its various properties (not just Instagram, but also Facebook, Messenger, and WhatsApp). For instance, in Messenger, this changed the traditional texting workflow, which normally starts with…

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LDV Vision Summit : 10 Questions for a Research Scientist @ Google

From automatically organizing personal photos, monitoring crops, medical diagnostic, driving cars, security monitoring, computer vision is always everywhere. Not surprising since we, as human beings, use vision as our primary tool to understand the world around us.  For a search engine like Google, it does make perfect sense to be one of the leaders in research. Ahead of her keynote address at the upcoming  2017 LDV Vision Summit, we spoke with Google Research Scientist Tali Dekel to learn more: A little bit about you. what is…

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ldv vision summit

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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Any marketer who’s not using image A.I. is missing out

Everyone knows the number and it doesn’t lie: 1.6 Billion images uploaded daily. Out of the main platforms people use to communicate daily, the top 5 (Instagram, Snapchat, Whatsapp, Facebook, Pinterest) use almost exclusively photographs. It is estimated that 75% of the web’s real estate is also made of images. Yet marketers seem to completely ignore this vast pool of extremely valuable information, choosing to rely instead on inefficient hashtags or vague keywords. The numbers tell the story: Snapchat (8,796 photos shared per second), Whatsapp (8,102 Photos shared per…

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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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Facebook Head of Immersive Media Eric Cheng to share insights on the VR revolution at Mobile Photo Connect conference

Under the heading of “Pushing the photo and video boundaries,”Eric Cheng, Facebook’s Head of Immersive Media, will discuss his endeavors in VR and other transformative imaging technologies – including drone and light field photography – in a special fireside chat session at Mobile Photo Connect. The world’s premier conference for the mobile photo ecosystem will be held October 25 at the Presidio Golden Gate Club in San Francisco. Eric Cheng has been at the forefront of some of the most revolutionary imaging technology innovations of…

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