Rakuten, Inc.

Junji Torii

Ali Cevahir

An image search device is configured to: obtain a plurality of query feature vectors each indicating a local feature of an image serving as a query; select a plurality of image feature vectors respectively corresponding to the plurality of query feature vectors based on proximities between the plurality of image feature vectors respectively indicating a plurality of local features of each of a plurality of search target images to be searched, and the plurality of query feature vectors; generate an image score of the search target image based on a total sum of score elements each corresponding to the proximities between the selected plurality of image feature vectors and the query feature vectors corresponding to the selected image feature vectors; and select at least one of the plurality of search target images based on the image score.

Image search device, image search method, program, and computer-readable storage medium

An image search device is configured to: obtain a plurality of query feature amounts each indicating a local feature of an image serving as a query; select image feature amounts respectively corresponding to the respective query feature amounts so that one image feature amount is selected relative to one of the plurality of query feature amounts for each of a plurality of images to be searched from image feature amounts respectively indicating local features of each of the images to be searched; generate a score indicating a degree of similarity between each of the plurality of images to be searched and the image serving as the query based on the image feature amounts selected relative to the plurality of query feature amounts; and select at least one image from the plurality of images to be searched based on the score generated for the image.

An image search device includes a common memory and a plurality of parallel processors for executing a same instruction. The image search device transfers, from storage, a plurality of representative feature vectors, which respectively represent a plurality of clusters including a plurality of image feature vectors, stores, in the common memory, one or more query feature vectors extracted from an image serving as a query, calculates a distance between the plurality of transferred representative feature vectors and the query feature vector using the plurality of parallel processors, and selects one or more of a plurality of images based on a distance between the plurality of image feature vectors, which belong to the cluster selected by the calculated distance, and the query feature vector.

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Chiba, Japan

Junji Torii