Category Archives: analytic

10 questions to a founder: Imatag

advertising, analytic, Brands, content, Content Recognition, editing, flickr, interview, license, marketing, PhotoTech, Social Media, technology March 13, 2018 Paul Melcher Leave a comment

Publish an image online today and there is a very good chance that within a few days, there will be hundreds, if not thousands of copies of it throughout the internet. None, unfortunately, will bear any information on who is the creator and how he/she can be found. This is not just an issue for professional photographers, who make a living by licensing images, but anyone who creates visuals to communicate, like marketers or social media manager. Because with each reuse comes the damaging potential…

10 Questions for a Founder : TruePic

analytic, Artificial Intelligence, computer vision, content, Content Recognition, interview, mobile, photojournalism, Social Media, technology, UGC, visual recognition February 6, 2018 Paul Melcher 1 Comment

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%…

2 research that will change photography forever

analytic, Artificial Intelligence, Brands, commercial stock, computer vision, Content Recognition, Facial recognition, getty, photojournalism, PhotoTech, research, Shutterstock, technology, visual recognition January 19, 2018 Paul Melcher 2 Comments

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.…

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

Visual Tech Losers of 2017 and Winners of 2018

advertising, analytic, AR, Artificial Intelligence, Augmented reality, computer vision, Content Recognition, depth imaging, Facebook, flickr, getty, in-image, marketing, mobile, photo sharing, Pinterest, research, Snapchat, Social Media, study, UGC, video, visual recognition, VR December 9, 2017 Paul Melcher 2 Comments

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…

Statistics: How filters are used by Instagram’s most successful users

analytic, content, editing, filter, Instagram, marketing, mobile, PhotoTech, research, Social Media, study, UGC October 20, 2017 Stefan Pettersson Leave a comment

To facilitate execution of global, large-scale influencer marketing campaigns at Relatable we rely a lot on data to give us insights. Using a sample of about 2 million Instagram accounts (with a minimum of 1,000 followers) and 40 million posts I’ve been digging deep compiling statistics, finding insights, or just discovering some quirky facts. I will share those findings in a number of articles. Instagram filters are used to enhance photos, to give them that extra edge or just set the mood. But to what extent are they used?…

Seeking ethics in visual tech

analytic, Artificial Intelligence, big data, computer vision, Content Recognition, Facial recognition, PhotoTech, research, study, visual recognition September 19, 2017 Paul Melcher 1 Comment

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…

By 2022, there will be 45 Billion Cameras

analytic, Artificial Intelligence, Augmented reality, big data, computational imaging, computer vision, Content Recognition, depth imaging, Emotion analysis, Facial recognition, imaging, mobile, photo organizing, PhotoTech, study, technology, visual recognition August 18, 2017 Paul Melcher 1 Comment

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…

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

analytic, Artificial Intelligence, big data, computer vision, content, Content Recognition, Facial recognition, Interface, marketing, photo organizing, photo sharing, PhotoTech, Social Media, technology, visual recognition July 19, 2017 Paul Melcher Leave a comment

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…

10 Questions to a Founder : Picasso Labs

advertising, analytic, Artificial Intelligence, big data, Brands, content, Content Recognition, interview, marketing, PhotoTech, Social Media, visual recognition June 1, 2017 Paul Melcher 1 Comment

While billions of images are being shared daily, little to nothing is known about how viewers respond to them. Until now. Using hundreds of thousands of data points extracted from million of images, Picasso Labs offers the first A.I. powered insight tool for images. Thanks to its deep analytical resources, it helps brands and marketers understand which images work best for what audience, and why. We sat down with founder and CEO Anastasia Leng to learn more: – A little about you, what is your…

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LDV Vision Summit 17 – 10 Questions for an Investor: KBS Ventures

advertising, analytic, Artificial Intelligence, Augmented reality, big data, Brands, Funding, interview, investment, LDV Summit, marketing, PhotoTech, Pinterest, Snapchat, Social Media, VR April 27, 2017 Paul Melcher Leave a comment

There’s a definitive symbiosis between visual tech and digital marketing: Not only is vision the primary sense used when making a buying decision, it is also the most efficient in tracking and deciphering a consumer’s path to the critical buy impulse. While brands might not have yet adopted the rapid pace of evolution offered by the countless new start-ups in the field, advertising agencies and their investment arms have long known that it’s a battlefield with huge potential outcome. We spoke with Jessica Peltz-Zatulove – Partner…