Patent ID: 9158965
Filing Date: 2015-10-13
Classification: G06K

Abstract:
1. A method for classifying images, comprising: receiving an input image to classify using a computer system; scoring a likelihood of each individual node in a plurality of nodes of a classifier using a computer system, where the classifier includes a semantic hierarchy in which the plurality of nodes correspond to a hierarchy of named entities and a set of individual object classifiers to classify a likelihood that the input image contains a named entity in one of a plurality of leaf nodes from the plurality of nodes, where the plurality of leaf nodes correspond to a set of mutually exclusive named entities in the hierarchy of named entities; selecting an individual node from the plurality of nodes most descriptive of the image using a computer system, where the individual node is determined by: classifying the input image as a named entity corresponding to the individual node most descriptive of the image using a computer system; and returning the named entity as a classification of the input image using a computer system.