8 years, 7 months ago

Need a photo that fits the mood? Ask EyeEm’s algorithm

San Francisco: Instead of hiring a professional photographer for an important marketing job last year, Massimo Portincaso gave the job to a computer software. That system, created by Berlin-based start-up EyeEm, began suggesting shots matching Portincaso’s taste—in a similar way to how Pandora’s algorithm adapts music recommendations based on a person’s listening preferences. Rather than combing through stock photos from services such as Getty Images, Portincaso entered terms such as “young woman,” “smiling” and “escapism” into EyeEm’s search field and a list of pictures emerged from the database that fit with the look he was going for. People can search for photos by typing in terms like “dinner last December in San Francisco” or “Hawaii sunsets.” “It’s not enough to say what’s in a photo—you have to filter out the most relevant,” Rizk said. Image quality While Google’s search engine has become skilled at identifying if a picture contains an object like a cat or a bridge, EyeEm is attempting to identify what photos are actually good.

Live Mint
Company Algorithm Pictures Picture Identify Rizk Eyeem Boston Consulting Group Portincaso

Discover Related