All the numbers have been pointing upwards. In fact, a recent analysis shows that Instagram will be used by one in three people, in the US, by 2020. With 400 million active users today, it is the only platform where people exclusively take and share visual content and nothing else.Continue Reading
Making sense of the trillions of images now available on-line can reveal fascinating information about our society. Taking the first steps in this complex field that mixes art, computer science and sociology, Dr Lev Manovich, professor at the Graduate Center of the City University of New York explains, via aContinue Reading
With more and more photo and video apps listed in the iTunes and Google Play stores (around 80K at this point, more than double the number of two years ago), it’s no surprise that breaking into the app stores’ top rankings is getting harder and harder. But it’s not justContinue Reading
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 theContinue Reading
Photo app developers can monetize their apps in a variety of ways, such as by charging for the app, placing ads, selling photo print products, or offering extra features through in-app purchasing (IAP) options. For our recently published we took a deep-dive into the IAP patterns of the top-ranking appsContinue Reading
With the number of photo and video apps on the market still rapidly growing (currently at 78,000, more than twice as many as two years ago), the question is: what competitive advantages characterize the current breed of top-ranking photo and video apps? Who are they, what is their main useContinue Reading
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 explodedContinue Reading
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 ofContinue Reading
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 researchContinue Reading
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 andContinue Reading