Patent ID: 11874902
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. A system for performing an image search, the system comprising:
an image encoding convolutional neural network (NN) trained to generate
an image content feature vector as a global average pooling of features provided by a final layer of the image encoding convolutional NN, wherein the image content feature vector is associated with a content of a source image, and
an image style feature vector associated with a style of the source image, wherein the style is descriptive of the content;

a second NN trained to generate a text style feature vector associated with a style of a text query and a text content feature vector associated with a content of the text query;
a fusion module configured to fuse a first combination of the image content feature vector and the text content feature vector, with a second combination of the image style feature vector and the text style feature vector, to generate a composite feature vector; and
a selection module configured to select a target image based on a distance between the composite feature vector and a feature vector associated with one or more potential target images, the target image to be provided as a result of the image search, wherein style features of the image style feature vector that are unchanged by the text query are preserved in the target image.