Patent ID: 8645287

Claim:
A method comprising the following computer-executable acts: receiving a digital image, wherein the digital image comprises a first element that corresponds to a first domain and a second element that corresponds to a second domain, wherein the first domain is an event domain representative of events captured in a collection of images, and wherein the second domain is one of a people domain representative of people captured in the collection of images or a location domain representative of locations where the collection of images were captured; assigning a label that identifies a name of an event corresponding to the digital image to the first element in the digital image based at least in part upon a computed probability that the label corresponds to the first element, wherein the probability is computed through utilization of a first model that is configured to probabilistically infer labels for elements in the first domain and a second model that is configured to probabilistically infer labels for elements in the second domain, wherein the first model receives data that identifies learned relationships between elements in the first domain and elements in the second domain, and wherein the probability is computed by the first model based at least in part upon the learned relationships.