Category Archives: google

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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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Q&A with the founders of Haystack

Calling all photo buyers: Are you sick of having a gazillion tabs on your desktop while toggling through different photo agencies for the stock image you need? Former  Vanity Fair and Travel + Leisure contributing photographer Andrew Rowat and technology developer Vache Asatryan created Haystack— which launched its beta in October– because they believed the previous technology was “like searching for a flight in 1999.” Here’s why they’re banking on what has already been billed as the Google Image search for stock photo agencies. What was…

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10 Questions to an artist/engineer : Gregor Hochmuth

– A little about you, what is your background ? I’m a fairly recent New Yorker, having moved here only about a year and a half ago. I had been living in San Francisco for many years until then and working at a number of tech companies out here: First at Google as a product manager, then joined Instagram when the company was still very small. Once we were acquired by Facebook, I stayed for another year and a half before deciding it was time…

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VR : The story so far

Everyone agrees that VR is the next big opportunity in the consumer tech industry. Goldman Sachs estimates the market to yield $60 billion by 2025, with almost a 50/50 split between hardware and software.  It is currently a giant land grab, where companies are positioning themselves, launching headsets, cameras, platforms and content. But, as much as the excitement is real, it is still all about the potential rather than the reality. Before the VR year kicks in at full gear, we thought we would stop and…

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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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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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The dark world of mobile photography

While the numbers are familiar – 1.8 billion images uploaded daily, over a trillion in a year – what they hide is not. A recent study by Kodak Alaris ( unfortunately only limited to the UK) shows that the vast majority of photos taken are never processed and worse, end up being lost forever. While there are many reasons for this, it is interesting to note that the size of the photo universe is probably 5 times bigger than anyone believes, even if most of…

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Study reveals where to find success in digital video landscape

A new L2 intelligence report show cable prices rose a staggering 231 percent from 1998 to 2013, despite limited increases in underlying innovation.1 Like sharks sensing chum in the water, a host of well-funded companies entered the content fray, pioneered by YouTube in 2005. From 2006 through 2011, Netflix, Hulu, Apple, Roku, HBO, and Amazon all introduced on-demand, digital video substitutes for live TV broadcasts. These platforms have been wildly successful in going “over- the-top” of traditional TV and cable networks. Audiences are watching more…

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