公开(公告)号：US10965936B2

公开(公告)日：2021-03-30

申请号：US16255630

申请日：2019-01-23

Applicant: MARKANY INC.

Inventor： So Won Kim ,  Hyungyu Kim ,  Tai Yoon Lee ,  Seung Yeob Chae

IPC: H04N17/00 ,  G06T1/00 ,  H04N7/00 ,  H04N21/422

Abstract: One aspect of the present invention discloses an apparatus for detecting additional data for preventing forgery of video data and displaying the video content. The apparatus includes a content input unit configured to receive the video content (the video content including the additional data), a display unit configured to display the video content, an additional data detector configured to detect the additional data from the video content (the additional data including a watermark), and a display controller configured to control a display screen of the video content according to an additional data detection result.

公开(公告)号：US11580406B2

公开(公告)日：2023-02-14

申请号：US16729506

申请日：2019-12-30

Applicant: Markany Inc.

Inventor： Seung Yeob Chae ,  So Won Kim ,  Min Soo Park

IPC: G06N3/08 ,  G06N3/084 ,  G06N3/04

Abstract: Provided is an artificial neural network learning apparatus for deep learning. The apparatus includes an input unit configured to acquire an input data or a training data, a memory configured to store the input data, the training data, and a deep learning artificial neural network model, and a processor configured to perform computation based on the artificial neural network model, in which the processor sets the initial weight depending on the number of nodes belonging to a first layer and the number of nodes belonging to a second layer of the artificial neural network model, and determines the initial weight by compensation by multiplying a standard deviation (σ) by a square root of a reciprocal of a probability of a normal probability distribution for a remaining section except for a section in which an output value of the activation function converges to a specific value.