Carnegie Mellon University researchers have taken a first step toward this capability in study where they analysed five million such images.
Researchers Eric Xing and Gunhee Kim looked at images associated with 48 brands in four categories - sports, luxury, beer and fast food.
The images were obtained through popular photo sharing sites such as Pinterest and Flickr.
Their automated process unsurprisingly produced clusters of photos that are typical of certain brands.
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Kim noted, are events where people tend to take and share lots of photos, each of which is an opportunity to show brands in the context in which they are used and experienced.
Marketers are always trying to get inside the head of customers to find out what a brand name causes them to think or feel.
"Now, the question is whether we can leverage the billions of online photos that people have uploaded," said Kim.
"Our work is the first attempt to perform such photo-based association analysis," Kim said.
"We cannot completely replace text-based analysis, but already we have shown this method can provide information that complements existing brand associations," said Kim.
Kim and Xing obtained photos that people had shared and had tagged with one of 48 brand names. They developed a method for analysing the overall appearance of the photos and clustering similar appearing images together, providing core visual concepts associated with each brand.