Samsung Electronics Co., Ltd.

Daeeun Kim

Taejun Park

Bongjoe Kim

Kyuha Choi

Daesung Cho

Sangjo Lee

Younghoon Jeong

An electronic apparatus is provided. The electronic apparatus includes: a communication interface; a user interface; and a processor configured to control the electronic apparatus to: receive a content and metadata corresponding to the content from a server through the communication interface; obtain an input lag allowance time corresponding to the content based on any one or any combination of image information corresponding to the content, the metadata, or a pattern of a user command received through the user interface; identify at least one image processing method, among a plurality of image processing methods, based on the input lag allowance time; and perform image processing on the content based on the at least one image processing method.

Electronic apparatus and control method thereof

An artificial intelligence (AI) encoding apparatus includes at least one processor configured to: determine a downscaling target, based on a target resolution for a first image, obtain the first image by AI-downscaling an original image using an AI-downscaling neural network corresponding to the downscaling target, generate image data by encoding the first image, select AI-upscaling neural network set identification information, based on the target resolution of the first image, characteristic information of the original image, and a target detail intensity, generate AI data including the target resolution of the first image, bit depth information of the first image, the AI-upscaling neural network set identification information, and encoding control information, and generate AI encoding data including the image data and the AI data; and a communication interface configured to transmit the AI encoding data to an AI decoding apparatus, wherein the AI data includes information about an AI-upscaling neural network corresponding to the AI-downscaling neural network.

AI encoding apparatus and operation method of the same, and AI decoding apparatus and operation method of the same

An electronic apparatus is disclosed. The electronic apparatus includes: a memory configured to store a downscaling network of a first artificial intelligence model, a communication interface comprising communication circuitry, and a processor connected to the memory and the communication interface and configured to control the electronic apparatus, wherein the processor is configured to: obtain an output image in which an input image is downscaled by inputting the input image the downscaling network, control the communication interface to transmit the output image to another electronic apparatus, and wherein the first artificial intelligence model is configured to be learned based on: a sample image, a first intermediate image obtained by inputting the sample image to the downscaling network, a first final image obtained by inputting the first intermediate image to an upscaling network of the first artificial intelligence model, a second intermediate image in which the sample image is downscaled by a legacy scaler, and a second final image in which the first intermediate image is upscaled by the legacy scaler.

Growing community of inventors

Suwon-si, South Korea

Daeeun Kim