Patent ID: 9317781
Filing Date: 2016-04-19
CPC Classification: G06K,G06T

Claim Text:
1. A method comprising: receiving a plurality of training images, each training image including one or more objects associated with a high-level image classification; separating each of the plurality of training images into a plurality of instances; extracting image features from each of the plurality of instances in each of the plurality of training images; training, via one or more processors configured with executable instructions, multiple instance-level classifiers based on the extracted image features, wherein each of the multiple instance-level classifiers are trained to associate an instance with one of the one or more objects, and wherein each of the multiple instance-level classifiers includes a learned weight based on a probability that the instance is associated with the one of the one or more objects; implementing the multiple instance-level classifiers in an image classification model; receiving at least one query search term; receiving a collection of unclassified images from an image-based search using the at least one query search term; and applying the image classification model to the collection of unclassified images.