Method and system for producing digital image features
地域：
NY
NY Armonk
摘要
A system for generating a set of digital image features, comprising at least one hardware processor adapted for: producing a plurality of input groups of features, each produced by extracting a plurality of features from one of a plurality of digital images; computing an output group of features by inputting the plurality of input groups of features into at least one prediction model trained to produce a model group of features in response to at least two groups of features, such that a model set of labels indicative of the model group of features is similar, according to at least one similarity test, to a target set of labels computed by applying at least one set operator to a plurality of input sets of labels each indicative of one of the at least two groups of features; and providing the output group of features to at least one other processor.
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With reference to the first and second aspects, in a third possible implementation of the first and second aspects of the present invention access to the plurality of digital images is by receiving the plurality of digital images from at least one other hardware processor. Optionally, access to the plurality of digital images is by retrieving the plurality of digital images from at least one non-volatile digital storage, connected to the at least one hardware processor.
With reference to the first and second aspects, in a fourth possible implementation of the first and second aspects of the present invention at least one of the at least one prediction model is a neural network.
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