Image retrieval system
OwnerOlivier RISSER-MAROIX, Najib GADI +2inventors
InventorsOlivier RISSER-MAROIX, Najib GADI, Camille KURTZ, Nicolas LOMENIE
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OwnerOlivier RISSER-MAROIX, Najib GADI +2inventors
InventorsOlivier RISSER-MAROIX, Najib GADI, Camille KURTZ, Nicolas LOMENIE
Estimating the term…
A computer-implemented method for generating an image retrieval system configured to select a plurality of relevant images of items from a plurality of datasets of images, in response to a query corresponding to an image of cargo generated using penetrating radiation, the plurality of relevant images of items being selected based on visual similarity with the query, is provided. The method includes obtaining a plurality of visually-associated training images of items from a plurality of datasets of images, the plurality of visually-associated training images being associated with each other based on visual similarity, the visual similarity association using input by a user, each of the training images being associated with an annotation indicating the dataset of images to which the training image belongings, and training the image retrieval system by applying a deep learning algorithm to the obtained visually-associated training images.
A computer-implemented method for generating an image retrieval system configured to select a plurality of relevant images of items from a plurality of datasets of images, in response to a query corresponding to an image of cargo generated using penetrating radiation, the plurality of relevant images of items being selected based on visual similarity with the query, the method comprising:
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