Category Archives: Artificial Intelligence

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10 Questions to a founder : Picturesqe

With the advent of digital, pro photographers have been taking more and more pictures. The downside is that they end up spending more and more time in post-production, having to search within thousands of images for the winning photographs. This is what Hungary based startup Picturesqe solves: using a mix of machine learning and A.I,  their solution cuts the editing time by 80%, honing rapidly and efficiently into the top candidates. We sat them with them to learn more: – A little about you, what…

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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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Understanding Images

Our relationship with the camera, the lens and the image is evolving. The static stance of capturing a moment in a photograph is still there, but this is rapidly changing. With the help of new emerging technologies, photography is becoming ubiquitous and pervasive. The advent of machine vision, deep learning, semantic search, augmented reality and virtual reality among other exponential technologies will inspire us to discover, create and experience more great imagery than ever before in human history. Intelligent algorithms will inspire and teach us to…

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10 Questions for a Founder : Imagga

While big companies like Google, Yahoo, Microsoft, Facebook pour millions into visual content recognition in order to make sense of the billions of images uploaded to their services, smaller companies offer the same solutions to anyone interested in using deep learning to classify images and videos automatically. Straight out of Bulgaria and with years of on the field experience for a variety of companies, Imagga is one that certainly carries its weight in this field. We caught up with founder and CEO Georgi Kadrev to…

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Canon, Imaging Mind and EyeEm Team Up to Present Photo Hack Day 2015

Canon, a leader in imaging solutions, Imaging Mind, a futuristic agency and visual culture community and EyeEm, a creative community and marketplace for photography, have partnered to present the fourth annual Photo Hack Day, Berlin on 28 November. The event, a 24-hour coding marathon, brings together the most creative developers, designers and photographers from across Europe and challenges them to prototype new photo applications that revolutionise the way we take, see and interact with images. “InfoTrends reports that 810 billion photos were taken worldwide in 2014.…

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Study shows users would do a lot more if given the right photo tools

What if consumers were no longer doomed to drown in their ever-growing pool of photos? What if they could easily find the photos they care about in a matter of seconds? These are the core questions addressed in the new “Photos at your Fingertips” study, conducted by mobile photo research firm Suite 48 Analytics. The firm asked 1009 North American smartphone and digital camera photographers to assess various photo organizing methods, as well as the expected impact hypothetical “Photos at your Fingertips” solutions would have…

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How future cameras may be able to auto-tag your photos

With over a trillion photos created every year, one feature that could help people make sense of their massive photo collections could be object-recognition and automatic tagging. If your camera and photo management software can figure out what’s in your shots, it’ll make searching through old photos much easier and intuitive. Companies and researchers are working hard on pushing this field forward. Photo sharing services are already adding auto-tagging to their systems — Flickr and Google had to work out some early “racist” bugs —…

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Visual tech and the frictionless web

The fundamental goal of visual tech should be reducing friction on how we interact with the world. Success will be measured on how easily we can pass from one function to the other with minimum active input. A few years ago, while working on the development of a Saas, the everlasting issue of international compliance came up. With hundreds of possible input lines, the necessary elements for customization, the issue was who will translate and how many languages should we support. While English is understood by…

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Visual content recognition : A test drive

We all read the stories and we have all heard the rumors. Latest, and probably most infamous is Google’s mislabelling of an African-American couple as “gorilla”. Proudly installed within mainstream services like Flickr and Google photos, visual content recognition is quickly getting a bad rep thanks to a few very public mishaps. For those in the know, those false positives are not a surprise. It is still extremely hard for a computer to get the content of an image exactly right, not unlike human beings. However,…

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Automated photo generating A.I

What will we do with all the data we accumulate from photos? On a daily basis, internet juggernauts like Google, Yahoo, Facebook or Microsoft use highly sophisticated deep learning engines to better understand the content of billions of images uploaded, liked and shared. For now, it is to better serve adverting but what else can be done? For one, we could generate custom-made photos. Automated photo generating A.I. using all the knowledge acquired about photography, including which image types helps sell more products, which dominant colors appeal to viewers,…

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