公开(公告)号：US20220224972A1

公开(公告)日：2022-07-14

申请号：US17595295

申请日：2019-07-05

Applicant: LG ELECTRONICS INC.

Inventor： Dongsung KIM ,  Hagryang KIM

IPC: H04N21/4363 ,  H04N21/4402

Abstract: The present invention relates to a device and a method for processing and transmitting image data in a wireless AV system. The present specification provides a device comprising: an external device interface unit configured to receive an external input signal including an actual image (an actual picture); a control unit connected to the external device interface unit and configured to detect the external input signal and produce information on the external input signal; an image processing unit connected to the control unit, receiving, from the control unit, at least one among the external input signal and the information on the external input signal, determining an image compressibility on the basis of the information on the external input signal, and outputting a compressed image based on the determined image compressibility; and a communication unit for transmitting the compressed image through a wireless channel.

公开(公告)号：US20220103267A1

公开(公告)日：2022-03-31

申请号：US17423340

申请日：2019-01-15

Applicant: LG ELECTRONICS INC.

Inventor： Sungbo JUNG ,  Hagryang KIM

IPC: H04B17/19 ,  H04B17/21 ,  H04B17/318 ,  H04W24/06

Abstract: According to an embodiment of the present disclosure, a learning device may include a communication unit, database configured to store wireless environment data sets representing wireless environments between an image transmission device and an image reception device, and a processor configured to generate a plurality of wireless environment space types respectively mapped to the wireless environment data sets, generate a beamforming learning model by learning a correlation between antenna configuration factors and communication quality factors for each of the wireless environment space types, determine a wireless environment space type corresponding to the new wireless environment data set from among the plurality of wireless environment space types when a new wireless environment data set is received, and determine values of the antenna configuration factors using a beamforming learning model corresponding to the determined wireless environment space type.