Patent ID: 9411829
Filing Date: 2016-08-09
CPC Classification: G06F,G06K

Claim Text:
1. A method comprising: representing, by at least one computing device, each of a plurality of images as a plurality of quantized gradient-related feature vectors; building, by the at least one computing device, a vocabulary of words using each image's plurality of quantized gradient-related feature vectors; generating, by the at least one computing device and using the vocabulary, a probabilistic topic model comprising image-specific parameters for each image in the plurality of images and cluster-specific parameters for each of a plurality of clusters, the image-specific parameters and cluster-specific parameters being learned in parallel using a map-reduce architecture; assigning, by the at least one computing device, each image from the plurality of images to a cluster from the plurality of clusters using the image's image-specific parameters and the probabilistic topic model, each cluster corresponding to a word in the vocabulary; and identifying, by the at least one computing device and for each cluster from the plurality of clusters, at least one image assigned to the cluster as a representative image for the cluster.