Samsung Electronics Co., Ltd.

Yumi Sohn

Youngo Park

Myungjin Eom

Kwangpyo Choi

Minwoo Park

Kiho Choi

Seungsoo Jeong

Pilkyu Park

Jongseok Lee

Minsoo Park

Yinji Piao

Chanyul Kim

Anish Tamse

Narae Choi

Woongil Choi

Sungchan Kim

Kangjin Yoon

Sehoon Kim

Junhyung Kim

Dongkeon Kong

Jaiick Chun

Kyungah Kim

Tejas Nair

Junghye Min

Provided is a video decoding method including: obtaining, from a picture parameter set, a quantization parameter (QP) initial value to be applied to a current picture, and picture header QP difference value information; when the picture header QP difference value information indicates that QP difference value information is present in a picture header of the current picture, obtaining a first QP difference value for the current picture from the picture header; determining a QP for a coding unit included in the current picture, by using the QP initial value and the first QP difference value; obtaining transform coefficients of the coding unit by performing inverse quantization on the coding unit by using the QP; and reconstructing the coding unit by using the transform coefficients.

Video decoding method and apparatus for obtaining quantization parameter, and video encoding method and apparatus for transmitting quantization parameter

Methods and apparatuses for image encoding and image decoding are provided. The image decoding method includes: obtaining deep neural network (DNN) update permission information indicating whether one or more pieces of DNN setting information are updated; based on the DNN update permission information indicating that the one or more pieces of the DNN setting information are updated, obtaining DNN update information necessary for determining one or more pieces of the DNN setting information that are updated; determining the one or more pieces of the updated DNN setting information according to the DNN update information; and obtaining a third image by performing artificial intelligence (AI) up-scaling on a second image according to the one or more pieces of the updated DNN setting information.

Image encoding method and apparatus and image decoding method and apparatus using deep neural networks

Provided are a video decoding method and apparatus and a video encoding method and apparatus which determine whether to use a Most Probable Mode (MPM) list, based on encoding information of a current block, obtain, from a bitstream, intra prediction mode index information indicating one of candidate intra prediction modes included in the MPM list, and determine an intra prediction mode of the current block by using the obtained intra prediction mode index information.

Video encoding method and apparatus, and video decoding method and apparatus

A display apparatus and a controlling method thereof are disclosed. The display apparatus includes: a memory storing one or more instructions; and a processor configured to execute the stored one or more instructions to: obtain encoded data of a first digital image and artificial intelligence (AI) meta-information indicating a specification of a deep neural network (DNN), obtain a second digital image corresponding to the first digital image by decoding the encoded data, obtain a light signal converted from the second digital image according to a previously determined electro-optical transfer function (EOTF), and obtain a display signal by processing the light signal by using an opto-optical transfer function (OOTF) and a high dynamic range (HDR) DNN set according to the AI meta-information.

Image providing apparatus and image providing method thereof, and display apparatus and display method thereof

Provided is a decoding apparatus including: a communication interface configured to receive AI encoding data generated as a result of artificial intelligence (AI) down-scaling and first encoding of an original image; a processor configured to divide the AI encoding data into image data and AI data; and an input/output (I/O) device, wherein the processor is further configured to: obtain a second image by performing first decoding on a first image obtained by performing AI down-scaling on the original image, based on the image data; and control the I/O device to transmit the second image and the AI data to an external apparatus. In some embodiments, the external apparatus performs an AI upscaling of the second image using the AI data, and displays the resulting third image.

Decoding apparatus and operating method of the same, and artificial intelligence (AI) up-scaling apparatus and operating method of the same

A terminal for receiving streaming data may receive information of a plurality of different quality versions of an image content; request, based on the information, a server for a version of the image content from among the plurality of different quality versions of the image content; when the requested version of the image content and artificial intelligence (AI) data corresponding to the requested version of the image content are received, determines whether to perform AI upscaling on the received version of the image content, based on the AI data; and based on a result of the determining whether to perform AI upscaling, performs AI upscaling on the received version of the image content through a upscaling deep neural network (DNN) that is trained jointly with a downscaling DNN of the server.

Method and apparatus for streaming data

A method and apparatus are provided for connecting a user equipment to electronic devices. The method includes receiving, for a connection to an electronic device, a first broadcast message transmitted by the electronic device according to a first communication mode, wherein the first broadcast message includes information indicating whether the electronic device supports a connection to the electronic device according to at least one of the first communication mode or a second communication mode that is different from the first communication mode; determining whether the electronic device supports the connection to the electronic device according to at least one of the first communication mode or the second communication mode based on the information; and establishing the connection to the electronic device according to the first communication mode or the second communication mode based on a result of the determining.

Connection method for smart home device and apparatus thereof

Provided is a computer-recordable recording medium having stored thereon a video file including artificial intelligence (AI) encoding data, wherein the AI encoding data includes: image data including encoding information of a low resolution image generated by AI down-scaling a high resolution image; and AI data about AI up-scaling of the low resolution image reconstructed according to the image data, wherein the AI data includes: AI target data indicating whether AI up-scaling is to be applied to at least one frame; and AI supplementary data about up-scaling deep neural network (DNN) information used for AI up-scaling of the at least one frame from among a plurality of pieces of pre-set default DNN configuration information, when AI up-scaling is applied to the at least one frame.

Methods and apparatuses for performing encoding and decoding on image

Provided are a video encoding and decoding method and apparatus for obtaining, in a video encoding and decoding process, motion vector resolution information from a bit stream by using a high-level syntax which is a group of information that is applied to a predefined data unit group; determining a motion vector resolution of a current block included in the predefined data unit group based on the motion vector resolution information; determining a prediction motion vector of the current block to be a motion vector of a candidate block from among at least one candidate block, based on the motion vector resolution of the current block; and determining a motion vector of the current block by using the prediction motion vector of the current block.

Video decoding method and apparatus and video encoding method and apparatus

Image encoding method and apparatus and image decoding method and apparatus

Decoding apparatus and operating method of the same, and artificial intelligence (AI) upscaling apparatus and operating method of the same

Growing community of inventors

Suwon-si, South Korea

Yumi Sohn