While we are all aware photos have a massively dominating position on the web, we are also painfully aware of how little is done to tap into this massive source of data.  What people photograph and share reveal a lot about what they can and will consume. Few  startups offer solutions,Continue Reading

Key findings from galleri5’s survey on online photo sharing Since the beginning of human evolution, communication has been visual first and foremost. In today’s interconnected digital world, the mobile & social revolution is leading to an explosion of digital visual content at a pace never imagined before. Nearly 1.8 billionContinue Reading

For thousands of years humans have engaged in making visual records of the world around them. From the earliest Ice Age animal cave paintings to birthday photos of our children, a common value seems to be expressing itself through our ever evolving technologies and skills that create “visual likeness.” Charcoal, ink,Continue 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

scene detect by Qualcomm

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