公开(公告)号：US20190045211A1

公开(公告)日：2019-02-07

申请号：US16053233

申请日：2018-08-02

Applicant: Samsung Electronics Co., Ltd.

Inventor： Petr POHL ,  Alexey Mikhailovich GRUZDEV ,  Igor Mironovich KOVLIGA ,  Valery Valerievich ANISIMOVSKIY ,  Roman ARZUMANYAN

IPC: H04N19/51

CPC classification number: H04N19/51 ,  G06T7/238 ,  H04N19/52 ,  H04N19/521 ,  H04N19/577 ,  H04N19/587

Abstract: A motion estimation method for video data including frames and an apparatus therefor are provided. The motion estimation method includes determining whether a current frame unit for which motion estimation is to be performed corresponds to a double block, when the current frame unit corresponds to a double block, acquiring a candidate vector set corresponding to a first single block included in the double block, as a candidate vector set of the double block, individually calculating a confidence function value of each candidate vector included in the candidate vector set of the double block, for the first single block and a second single block included in the double block, and acquiring an estimated motion vector of the first single block and an estimated motion vector of the second single block, based on the calculated confidence function value of each candidate vector.

公开(公告)号：US20190005324A1

公开(公告)日：2019-01-03

申请号：US16022016

申请日：2018-06-28

Applicant: Samsung Electronics Co., Ltd.

Inventor： Valery Valerievich ANISIMOVSKIY

IPC: G06K9/00 ,  G06K9/62 ,  G06N3/08

CPC classification number: G06K9/00456 ,  G06K9/00463 ,  G06K9/6212 ,  G06K9/6218 ,  G06K2209/01 ,  G06N3/08

Abstract: A method and apparatus for separating a text and figure of a document image are provided. The method of separating the text and the figure of the document image includes acquiring a document image, dividing the document image into a plurality of regions of interest, acquiring a feature vector by using a two-dimensional (2D) histogram by resizing the regions of interest and extracting a connection component of the regions of interest, acquiring a transformation vector of the feature vector by using a kernel, obtaining a cluster center of the transformation vector, and performing clustering on the cluster center to acquire a supercluster, and classifying the supercluster into one of a text class and a figure class, based on the number of superclusters.

公开(公告)号：US20220005160A1

公开(公告)日：2022-01-06

申请号：US17364274

申请日：2021-06-30

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Valery Valerievich ANISIMOVSKIY ,  Maksim Alexandrovich Penkin ,  Evgeny Andreevich Dorokhov ,  Aleksei Mikhailovich Gruzdev ,  Sergey Stanislavovich Zavalishin

IPC: G06T5/00 ,  G06T7/246 ,  G06N3/04

Abstract: An image processing device includes an encoder configured to receive a blurry image and generate a global feature map of the image, a merging unit configured to merge the global feature map and blur information, a decoder configured to generate a feature tensor and weight tensors, a recurrent refinement module configured to perform recurrent feature filtering, and an image reconstruction module configured to reconstruct a deblurred image where the image processing device is configured to estimate an image global shift and to activate or deactivate the recurrent refinement module based on the estimation.

公开(公告)号：US20210049781A1

公开(公告)日：2021-02-18

申请号：US17085081

申请日：2020-10-30

Applicant: Samsung Electronics Co., Ltd.

Inventor： Valery Valerievich ANISIMOVSKIY ,  Andrey Yurievich SHCHERBININ ,  Sergey Alexandrovich TURKO

IPC: G06T7/593 ,  G06T7/80 ,  G06T3/00 ,  G06T3/40 ,  H04N13/271

Abstract: A method for training a convolutional neural network to reconstruct an image. The method includes forming a common loss function basing on the left and right images (IL, IR), reconstructed left and right images (I′L, I′R), disparity maps (dL, dR), reconstructed disparity maps ((d′L, d′R) for the left and right images (IL, IR) and the auxiliary images (I″L, I″R) and training the neural network based on the formed loss function.