Patent ID: 8903198

Claim:
A method for retrieving and ranking multi-attribute query results according to relevance to attributes of a multi-attribute query, the method comprising: training each of a plurality of image attribute detectors for one each of a plurality of different attributes that are annotated in a training dataset of images of people; learning via a processor a plurality of pair-wise correlations between each pair of the plurality of annotated attributes from the training dataset of images; searching via the trained attribute detectors an input image dataset for images comprising at least one of a multi-attribute query subset plurality of the annotated attributes; retrieving a plurality of images from the searching of the input image dataset that each comprise at least one of the query subset plurality of attributes and in response to information from the trained attribute detectors corresponding to attributes that are not a part of the query but are relevant to the query attributes as a function of the learned plurality of pair-wise correlations; and ranking the retrieved plurality of images as a function of respective total numbers of their attributes that are also within the query subset plurality of attributes.