Patent ID: 6922489

Claim:
A method of selecting a semantic label to describe a portion of an image, using a statistical or probabilistic interpretation model, said method comprising the steps of: providing one or more distinct semantic labels; determining an initial probability value for substantially each of the one or more semantic labels, each of said initial probability values being set to a predetermined default value for each of the one or more semantic labels; capturing contextual information simultaneously with image data representing the image, the contextual information being directly associated with the captured image data and originating from one or more different types of information sources, the information sources being distinct from the image and the captured image data representing the image; analyzing the contextual information captured with the image data to identify predetermined features relating to the image; adjusting the initial probability values for the one or more semantic labels based on the analysis of the captured contextual information and on the identified features; and analysing at least the portion of the image using the interpretation model in order to select at least one of the distinct semantic labels to describe the portion of the image, wherein the at least one semantic label is selected by multiplying the adjusted initial probability value for each semantic label with a conditional probability density value determined for the portion of the image.