Category Archives: Content Recognition

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Third-party photo apps edging to new frontiers

Native smartphone camera apps – those provided by Apple and hardware manufacturers on their respective phones – now do much more than enable basic camera functions. They include features such as HDR, burst, dual focus/exposure points, exposure compensation and panoramic image capture that were once the exclusive domain, and the main value proposition, of third party camera apps. While this might appear to doom prospects for these third party camera apps Reinventing the Camera App Market, the latest study from mobile photography research firm Suite 48…

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10 Questions to a founder : Placemeter

We built cities around transportation, rivers, cars, train but little did we think about the human aspect.  With 3.5 billion people living in urban areas today and expected to double by 2050, it is becoming imperative that we change. Startup Placemeter offers the ability to quantify and analyze what we do, how we do it, when and how frequently using any cameras ( security, cell phone, IP cameras)  placed all around our cities. Using computer vision, it can quickly quantify population circulation so that city…

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10 questions to a founder : Imagewiki

With billions of photos uploaded and shared daily on a variety of photo sharing sites,  monitoring copyright is a nightmare for both visual companies and content owners alike. On one side, photo sharing platforms cannot physically police every upload and on the other, content creators cannot spend their days policing the web for illegal usages. While legislators are starting to reconsider the text of the law, a Los Angeles startup might just have the right automated solution to make everyone’s’ life easier and generate revenue…

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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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