# US 11,443,537 B2 · Electronic apparatus and controlling method thereof > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,443,537 B2 - Document ID: US11443537B2 - Status: Granted - Kind: B2 - Application number: 17/022,516 - Filed: 2020-09-16 - Published: 2021-04-15 - Granted: 2022-09-13 - Earliest claimed: 2019-10-15 - Assignees: Samsung Electronics Co., Ltd. - Applicants: Samsung Electronics Co., Ltd. - Inventors: Seongoh Lee; Youngmin Kwak; Sungbae Park - Web page: https://patentgrep.com/patent/US11443537B2 ## CPC - G06V 10/82: using neural networks - G06V 30/19173: {Classification techniques} - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING ## Abstract Disclosed is an electronic apparatus. The disclosed electronic apparatus may include at least one processor and at least one memory, in which the memory may include at least one instruction, which, when executed, causes the processor to: identify a feature of at least one object included in a first image, identify a feature of at least one object included in a second image acquired by applying the first image to a first neural network, determine an image processing method based on the identification, and acquire a plurality of third images based on the determined image processing method. ## Claims ### Claim 1 An electronic apparatus, comprising: at least one processor; and at least one memory, wherein the at least one memory comprises at least one instruction which, when executed, causes the at least one processor to: identify a feature of at least one object included in a first image, identify a feature of at least one object included in a second image, the second image being acquired by applying the first image to a first neural network, determine an image processing method based on the identification, acquire a plurality of third images based on the determined image processing method, acquire a fourth image by applying the first image to a second neural network; and control a display to display the plurality of third images during the acquiring of the fourth image, and control the display to display the fourth image after displaying the plurality of third images. ### Claim 2 (depends on 1) The electronic apparatus of claim 1, wherein the feature of the object comprises at least one of a shape, color, or texture of the object. ### Claim 3 (depends on 1) The electronic apparatus of claim 1, wherein the at least one instruction, when executed, causes the at least one processor to: change a color of the object included in the first image using a color of the object included in the second image, and acquire the plurality of third images using a shape and texture of the object included in the first image. ### Claim 4 (depends on 1) The electronic apparatus of claim 1, wherein the at least one instruction, when executed, causes the at least one processor to determine a number of the plurality of third images to acquire based on a time for the second neural network to acquire the fourth image. ### Claim 5 (depends on 1) The electronic apparatus of claim 1, wherein the first neural network and the second neural network are neural networks trained using, as training data, an original image, an image to be referenced by the original image, and a result image changed by reflecting a style of the image to be referenced, to acquire a new image by changing the image to a style of a reference style image. ### Claim 6 (depends on 1) The electronic apparatus of claim 1, further comprising the display, wherein the at least one instruction, when executed, causes the at least one processor to control the display to display the plurality of third images in an acquired order. ### Claim 7 (depends on 1) The electronic apparatus of claim 1, wherein the at least one instruction, when executed, causes the at least one processor to perform image processing to increase similarity to the fourth image on a last acquired third image among the plurality of third images. ### Claim 8 (depends on 1) The electronic apparatus of claim 1, wherein the at least one instruction, when executed, causes the at least one processor to control the display to display the plurality of third images and the fourth image based on the electronic apparatus entering a sleep state. ### Claim 9 (depends on 1) The electronic apparatus of claim 1, wherein the at least one instruction, when executed, causes the at least one processor to reduce a resolution of the first image and apply the first image to the first neural network to acquire the second image. ### Claim 10 (depends on 1) The electronic apparatus of claim 1, wherein the at least one instruction, when executed, causes the at least one processor to control the display to provide a user interface guiding a selection of the first image and a reference system image. ### Claim 11 An electronic apparatus, comprising: at least one processor; at least one memory; and a communication interface comprising communication circuitry, wherein the at least one memory comprises the at least one instruction, which when executed, causes the at least one processor to: identify a feature of at least one object included in a first image; identify a feature of at least one object included in a second image, the second image being acquired by applying the first image to a first neural network; determine an image processing method based on the identification; acquire a plurality of third images based on the determined image processing method; control the communication interface to transmit the first image to a server and acquire, from the server, a fourth image acquired by allowing the server to apply the first image to a second neural network; control a display to display the plurality of third images during the acquiring of the fourth image from the server; and control the display to display the fourth image after displaying the plurality of third images. ### Claim 12 (depends on 11) The electronic apparatus of claim 11, wherein the at least one instruction, when executed, causes the at least one processor to estimate a time required for the server to acquire the fourth image to adjust a number of third images to be acquired or a display time of the plurality of third images. ### Claim 13 A method of controlling an electronic apparatus, comprising: identifying a feature of at least one object included in a first image; identifying a feature of at least one object included in a second image, the second image being acquired by applying the first image to a first neural network; determining an image processing method based on the identification; acquiring a plurality of third images based on the determined image processing method; acquiring a fourth image by applying the first image to a second neural network; and controlling a display to display the plurality of third images during the acquiring of the fourth image, and controlling the display to display the fourth image after displaying the plurality of third images. ### Claim 14 (depends on 13) The method of the electronic apparatus of claim 13, further comprising: changing a color of the object included in the first image using a color of the object included in the second image, and acquiring the plurality of third images using a shape and texture of the object included in the first image. ### Claim 15 (depends on 13) The method of the electronic apparatus of claim 13, further comprising: determine a number of the plurality of third images to acquire based on a time for the second neural network to acquire the fourth image. ### Claim 16 (depends on 13) The method of the electronic apparatus of claim 13, wherein the first neural network and the second neural network include a neural network trained using, as training data, an original image, an image to be referenced by the original image, and a result image being changed by reflecting a style of the image to be referenced, to acquire a new image by changing the image to a style of a reference style image. ### Claim 17 (depends on 13) The method of the electronic apparatus of claim 13, further comprising: displaying the plurality of third images on the display in an acquired order. ### Claim 18 (depends on 13) The method of the electronic apparatus of claim 13, further comprising: performing image processing to increase similarity to the fourth image on a last acquired third image among the plurality of third images. ### Claim 19 (depends on 13) The method of the electronic apparatus of claim 13, further comprising: displaying the plurality of third images and the fourth image on the display based on the electronic apparatus entering a sleep state. ### Claim 20 (depends on 13) The method of the electronic apparatus of claim 13, wherein acquiring the fourth image includes: transmitting the first image to a server and acquiring, from the server, the fourth image acquired by allowing the server to apply the first image to the second neural network.