Category Archives: research

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LDV Vision Summit : Computational Photography and video

As a refresher for those who did make it and a discovery for those who couldn’t, we will be publishing a series of transcripts from last year’s LDV Vision Summit.  First on our list is this conversation around computational photography and video from some of the top experts in the field: Moderator: Evan Nisselson, LDV Capital Panelists: Michael Cohen, Principal Researcher, Microsoft Research *,  Paul Green, CTO & Co-Founder, Algolux and Ramesh Raskar, Associate Professor, MIT Media Lab Evan Nisselson: I’d like to invite up our panelists—Michael…

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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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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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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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10 questions for a founder : SportLogiq

When you introduce advanced visual technology within an already existing lucrative market, you have the potential to create an explosive reaction. That is exactly the model SportLogiq is using, introducing image analysis into the multi-million market of sports analytics. Estimated at $125 million in 2014, sports analytics is anticipated to reach $4.7 billion by 2021. Mostly done manually using banks of humans processing hours of videos, it is now on the verge of being completely disrupted, thanks to the efforts of the Marc Cuban-backed, Montreal-based…

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10 questions to a founder: Kuznech

Image recognition, visual search and content classification  have been around for a while with various degree of success. With mobile shopping exploding, as well as myriads of photo/video based platforms, it is now  at the core of almost any online experience. While Google, Yahoo, Facebook and Microsoft throw millions in research for their own gain, independent companies offer powerful solutions to the rest of the market.  4 years old Russia-based  Kuznech is one of them. We spoke with co-founder and CEO Michael Pogrebnyak to learn more:…

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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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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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Animal-eye view of the world revealed with new visual software

New camera technology that reveals the world through the eyes of animals has been developed by University of Exeter researchers. The details are published today in the journal Methods in Ecology and Evolution. The software, which converts digital photos to animal vision, can be used to analyse colours and patterns and is particularly useful for the study of animal and plant signalling, camouflage and animal predation, but could also prove useful for anyone wanting to measure colours accurately and objectively. The software has already been used…

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Study Finds Marketers Are Failing To Leverage Visual Content

A picture may be worth a thousand words, but marketers have not turned a strategic lens on optimizing the return from their visual media content investments. While 65 percent of senior marketing executives believe visual assets are core to how their brand story is communicated, a scant 27 percent have the ability to aggregate, organize and manage these assets across marketing and non-marketing teams—including those outside of the organization. A new study from the Chief Marketing Officer (CMO) Council—entitled “From Content to Creativity: The Role…

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