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公开(公告)号:US20230179828A1
公开(公告)日:2023-06-08
申请号:US17922245
申请日:2020-04-28
Applicant: LG ELECTRONICS INC.
Inventor: Taewon KIM
IPC: H04N21/438 , H04L27/26 , H04L27/01 , H04N21/426 , H04N21/43 , H04N21/414
CPC classification number: H04N21/4382 , H04L27/26 , H04L27/01 , H04N21/42676 , H04N21/4302 , H04N21/41407
Abstract: The present disclosure relates to a signal processing device and an image display apparatus including the same. A signal processing device according to an embodiment of the present disclosure includes: a synchronizer configured to decode bootstrap data of first frame data in the received baseband signal; and an error corrector including a decoder configured to decode basic signaling data of the first frame data, and processing payload data of the first frame data is started within a first frame data period or a reception period of the first frame data. Accordingly, a data output time according to processing of frame data can be shortened.
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公开(公告)号:US20240414404A1
公开(公告)日:2024-12-12
申请号:US18717331
申请日:2021-12-06
Applicant: LG ELECTRONICS INC.
Inventor: Taejin PARK , Taewon KIM
IPC: H04N21/4786 , G06F3/14 , H04N21/466
Abstract: Disclosed is a display device comprising: a communication interface for receiving first content information about first content being played back in the display device, and first content provider information; and a processor. The processor is for: generating a first cast message including the first content information and the first content provider information; setting a content casting application, to which the first cast message is to be delivered, to the multipurpose Internet mail extensions (MIME) type of the first cast message; and transmitting the first cast message to another artificial intelligence device through a social network application.
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公开(公告)号:US20210086355A1
公开(公告)日:2021-03-25
申请号:US16774384
申请日:2020-01-28
Inventor: Sung Gil PARK , Byeonggil YOO , Sungeun CHUNG , IL HONG SUH , Youngbin PARK , Taewon KIM , Yeseong PARK
Abstract: Disclosed herein are a control server and method for controlling a robot using an artificial neural network, and a robot implementing the same. The robot includes a driver, a processor controlling the driver using an artificial neural network-based algorithm model, and a learning processor learning the algorithm model, where the algorithm model includes a first GAN (generative adversarial network) and a second GAN, the processor generates a plurality of real-like-fake images using a first generator included in a learned first GAN, the learning processor learns a second GAN based on a plurality of random texture rendered images and the plurality of real-like-fake images, and the processor generates a canonical image by inputting a real image to a second generator included in a learned second GAN, and controls the driver using the canonical image.
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