Category Archives: visual recognition

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Google, Images and rights

Ever since its inception, in 2001, Google Image Search did not show much love to those who create photographs. In fact, when subsequently sued for recreating and publishing thumbnails of images on its result page, it fought back and won. A victory that forever helped devalue pictures thereafter. A reversal of policy Google considered photos as freely available assets to classify and display and by result, helped comfort this illusion to its users. They hugely benefited from the complete absence of a central organization (unlike the music, TV…

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What you missed at the 2018 LDV Vision Summit

Every year one enters the hallway of the SVA Theatre in the heart of New York thinking that there is no way the organizers of the LDV Vision Summit can outperform the previous year. And every year you step out two days later, happily disappointed that your prediction was wrong. The combination of the organizing team’s ( Evan Nisselson, Serge Belongie, and Rebecca Paoletti) talent to surface captivating speakers and the topic ( visual tech) seemingly boundless reach into almost every vertical, makes this event…

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Facebook AR

LDV Vision Summit ’18: 10 questions to an AR research scientist : Facebook

With the fifth edition of the LDV Vision summit right around the corner ( May 23-24, discount tickets available on the right =>), we approached some of the speakers to get a hint of what they are working on and what they will be speaking about. First of the series is Krishnan Ramnath, Research Science Manager and Technical Lead Mobile at Facebook whose work  for the social media platform is pioneering how most humans will experience AR in the years to come: – A little about…

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10 Questions for a Founder : TruePic

With each iteration of Photoshop, it is easier and easier to alter images, making it impossible to spot the alterations. Soon, with AI generated images taking over in many fields, it will be impossible to trust if an image is an actual photograph or a complete fabrication. Photography is in danger of losing its essential tie to reality and truth. Enters TruePic. With an array of patented technologies, the company offers a solid counterbalance to this seemingly unstoppable wave of reality-altering technologies. It certifies that a photograph is 100%…

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2 research that will change photography forever

A couple of research papers were recently published, both touching on advancement in computer vision and machine learning. While research papers are a common occurrence in this field, these two are worth reviewing a bit deeper, as their implication will have a wide impact once they mature. The first is a research organized by Nvidia for presentation at the upcoming International Conference on Learning Representation to be held in Vancouver this coming April. The purpose is to build a more efficient GAN  by growing both the generator and discriminator progressively.…

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Sculpture: Deadly Sins #1, Pure Products USA, by Nova Ligorano a

Visual Tech Losers of 2017 and Winners of 2018

Sometimes, great things come out of failure. Especially in the startup world. As we look back at the year past, we take one last look at what failed, with the hope that they will generate great, unsuspected outcomes.   As well, we take a peek at 2018 and its probable heroes, with the firm understanding that our vision just might not be that accurate. Losers of 2017   Ads in images.  A long time coming. And while we will certainly continue to see them for many years to come – bad ideas die…

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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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Seeking ethics in visual tech

The Trolley Problem is a famous ethic thought-experiment.  Here how it goes: There is a Trolley barreling down the railroad tracks. Ahead, on the tracks, there are five people tied up and unable to move. The trolley is headed straight for them. You are standing some distance off in the train yard, next to a lever. If you pull this lever, the trolley will switch to a different set of tracks. However, you notice that there is one person on the side track. You have two…

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iphone X

The iPhone X deep-dive – Why this phone will disrupt the mobile imaging ecosystem

Key takeaways: Apple has launched the iPhone X as a showcase for the direction in which the mobile and imaging industries could be heading; The iPhone X’s high price will limit its audience, but its features will trickle down in the coming years. At the same time, the developer ecosystem gets a head start on building new apps for consumers to create enticing content, which is often the bottleneck for the adoption of new technologies; The 3D revolution is now in full-swing; many of the…

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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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