公开(公告)号：US20240127488A1

公开(公告)日：2024-04-18

申请号：US18485772

申请日：2023-10-12

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE ,  MYONGJI UNIVERSITY INDUSTRY AND ACADEMIA COOPERATION FOUNDATION

Inventor： Jin Young LEE ,  Hee Kyung LEE ,  Sang Kyun KIM

IPC: G06T9/00 ,  G06T7/11 ,  G06T7/62 ,  G06V10/25

CPC classification number: G06T9/00 ,  G06T7/11 ,  G06T7/62 ,  G06V10/25 ,  G06V2201/07

Abstract: An image encoding/decoding method, device and recording medium based on accumulation of a region of interest of the present disclosure may include partitioning a current image to acquire a region of interest, cumulatively expressing the region of interest in a reference image of the current image and decoding the current image based on a reference image in which the region of interest is cumulatively expressed.

公开(公告)号：US20240127168A1

公开(公告)日：2024-04-18

申请号：US17966580

申请日：2022-10-14

Applicant: Walmart Apollo, LLC

Inventor： Paarvendhan Puviyarasu ,  Yilun Chen ,  Harish Polusani ,  Adam Cantor ,  Benjamin R. Ellison

IPC: G06Q10/08 ,  G06V20/00 ,  G06V20/64

CPC classification number: G06Q10/087 ,  G06V20/36 ,  G06V20/647 ,  G06V2201/07

Abstract: Systems and methods for use in mapping an interior space of a product storage facility include at least one sensor that captures distance measurement data with respect to an interior space of the product storage facility. A computing device obtains a first image representing a 2-dimensional map of the interior space of the product storage facility and processes this image to define a boundary of the interior space of the product storage facility and detect individual structures located within the interior space of the product storage facility. Then, the computing device defines separate department areas, assigns a department label to each of the separate department areas, and converts the 2-dimensional map representing the detected structures and the defined separate department areas and the department labels assigned to the separate department areas into a second image representing a 3-dimensional map of the interior space of the product storage facility.

公开(公告)号：US11961301B2

公开(公告)日：2024-04-16

申请号：US18357901

申请日：2023-07-24

Applicant: SMARTINSIDE AI Inc.

Inventor： Dai Quoc Tran ,  Yun Tae Jeon ,  Tae Heon Kim ,  Min Soo Park ,  Joo Ho Shin ,  Seung Hee Park

IPC: G06V20/50 ,  G06V10/75 ,  G06V10/764

CPC classification number: G06V20/50 ,  G06V10/759 ,  G06V10/765 ,  G06V2201/07

Abstract: Disclosed herein are image-based object recognition method and system by and in which a learning server performs image-based object recognition based on the learning of environment variable data. The image-based object recognition method includes: receiving an image acquired through at least one camera, and segmenting the image on a per-frame basis; primarily learning labeling results for one or more objects in the image segmented on a per-frame basis; performing primary reasoning by performing object detection in the image through a model obtained as a result of the primary learning; performing data labeling based on the results of the primary reasoning, and performing secondary learning with weights allocated to respective boxes obtained by the primary reasoning and estimated as object regions; and finally detecting one or more objects in the image through a model generated as a result of the secondary learning.

公开(公告)号：US11961234B1

公开(公告)日：2024-04-16

申请号：US18388368

申请日：2023-11-09

Applicant: Steven Frank

Inventor： Steven Frank

IPC: G06T7/00 ,  G06T11/00 ,  G06V10/25

CPC classification number: G06T7/0012 ,  G06T11/00 ,  G06V10/25 ,  G06T2207/20084 ,  G06T2207/30024 ,  G06V2201/07

Abstract: First and second predictors are used to identify regions of interest in a medical image. The first predictor is configured to maximize precision in identifying one or more abnormalities that it was trained to recognize, or at least to have greater precision than the second predictor. The second predictor is configured or selected to maximize sensitivity (i.e., recall) in identifying one or more abnormalities that it was trained to recognize, or at least to have greater sensitivity than the first predictor. The predictions of the first and second predictors may be used to create a digital map image showing the locations of regions of interest identified by the first and second predictors. Alternatively or in addition, the predictions may be used to rank images or image sets in terms of review priority.

公开(公告)号：US20240119571A1

公开(公告)日：2024-04-11

申请号：US18355226

申请日：2023-07-19

Applicant: KOREA UNIVERSITY RESEARCH AND BUSINESS FOUNDATION

Inventor： Sung Jea KO ,  Sung Jin CHO

IPC: G06T5/00 ,  G06T5/20 ,  G06V10/25 ,  G06V10/44 ,  G06V10/764

CPC classification number: G06T5/003 ,  G06T5/20 ,  G06V10/25 ,  G06V10/44 ,  G06V10/764 ,  G06T2207/20016 ,  G06V2201/07

Abstract: Disclosed is a system for improving the detection performance of objects of interest in blurry images. According to an embodiment of the disclosed system for improving the detection performance of objects of interest in blurry images, the system includes a teacher network including a first base subnet, a first feature pyramid subnet and a first detection subnet; and a student network including a second base subnet, a second feature pyramid subnet, a deblurring subnet and a second detection subnet, wherein the teacher network provides hints to the student network.

公开(公告)号：US11955143B2

公开(公告)日：2024-04-09

申请号：US17432411

申请日：2020-04-22

Applicant: ARASHI VISION INC.

Inventor： Wenjie Jiang ,  Jinlin Cai ,  Jingkang Liu

IPC: G11B27/036 ,  G06V10/98 ,  G06V20/40 ,  G11B27/34

CPC classification number: G11B27/036 ,  G06V10/993 ,  G06V20/41 ,  G06V20/46 ,  G06V20/49 ,  G11B27/34 ,  G06V2201/07

Abstract: Provided are an automatic video editing method and a portable terminal, the method comprising: obtaining a video to be edited; extracting key frames of the video to be edited; inputting the key frames to a pre-trained scene classification method and a pre-trained target detection method, and respectively obtaining scene type markers and target object markers of the key frames; selecting multiple video segments from the video to be edited which satisfy preset editing criteria; respectively calculating average scores of the multiple video segments by means of a pre-trained image quality scoring method; respectively obtaining the video segment having the highest average score of each shot type for splicing.

公开(公告)号：US20240112474A1

公开(公告)日：2024-04-04

申请号：US18473131

申请日：2023-09-22

Applicant: Black Sesame Technologies (Shenzhen) Co., Ltd.

Inventor： Yanhui Zhang

IPC: G06V20/59 ,  G06T7/70 ,  G06V40/10 ,  G06V40/20

CPC classification number: G06V20/597 ,  G06T7/70 ,  G06V40/10 ,  G06V40/20 ,  G06T2207/30196 ,  G06T2207/30268 ,  G06V2201/07

Abstract: A data processing method and system, a user state determination method and system, a storage medium, and an electronic device are provided. The data processing method includes: determining a first head posture vector of a target user, wherein the first head posture vector is a vector in a direction of a sagittal axis of a head of the target user; and determining first head orientation data of the target user based on the first head posture vector, wherein the first head orientation data includes angle data of rotation around a coronal axis of the head, and angle data of rotation around a vertical axis of the head. Data straightforwardly representing head orientation is obtained to determine a user state in an assisted driving field.

公开(公告)号：US20240112465A1

公开(公告)日：2024-04-04

申请号：US18261890

申请日：2022-01-18

Applicant: Siemens Aktiengesellschaft

Inventor： Yue Yu ,  Chang Wei Loh ,  Wei Yu Chen ,  Tian Hua Pan ,  Sheng Bo Hu

IPC: G06V20/40 ,  G06V10/25 ,  G06V10/762 ,  G06V20/52 ,  H04L65/60

CPC classification number: G06V20/41 ,  G06V10/25 ,  G06V10/762 ,  G06V20/46 ,  G06V20/49 ,  G06V20/52 ,  H04L65/60 ,  G06V2201/07

Abstract: Various embodiments of the teachings herein include an image processing system comprising: a video stream processing device configured to receive a video stream, segment the video stream into multiple frames of pictures arranged in chronological order, and distribute the multiple frames of pictures to edge computing devices in a connected edge computing device group; and a picture collecting device configured to receive pictures from the edge computing device group. The individual edge computing devices in the edge computing device group are each configured to subject the received pictures to target identification, and send the pictures marked with a region in which an identified target is located. The picture collecting device is further configured to restore in chronological order as a video stream the received pictures marked with target identification results.

公开(公告)号：US11948326B2

公开(公告)日：2024-04-02

申请号：US18317642

申请日：2023-05-15

Applicant: DEEPX CO., LTD.

Inventor： Ha Joon Yu ,  You Jun Kim ,  Lok Won Kim

IPC: G06T7/00 ,  G06T3/40 ,  G06T7/11 ,  G06T7/20 ,  G06T7/70 ,  G06V10/764 ,  G06V10/771 ,  H04N23/61 ,  H04N23/67 ,  H04N23/69 ,  H04N23/695

CPC classification number: G06T7/70 ,  G06T3/40 ,  G06T7/11 ,  G06T7/20 ,  G06V10/764 ,  G06V10/771 ,  H04N23/61 ,  H04N23/67 ,  H04N23/69 ,  H04N23/695 ,  G06T2207/20084 ,  G06V2201/07

Abstract: An electronic device mounted on a fixed or a movable apparatusapparatus is provided. The electronic device may comprise an image signal processor (ISP) for at least one camera; a neural processing unit (NPU), including a plurality of processing elements (PEs), configured to: process an operation of an artificial neural network model trained to detect or track at least one object, based on an input feature map generated from at least one image, which is acquired via the ISP from the at least one camera, and output an inference result; and a signal generator generating a signal applicable to the at least one camera or the ISP.

公开(公告)号：US20240104936A1

公开(公告)日：2024-03-28

申请号：US18372182

申请日：2023-09-25

Applicant: HONDA MOTOR CO., LTD.

Inventor： Masamitsu Tsuchiya

IPC: G06V20/58 ,  G06T3/40 ,  G06V10/25 ,  G06V10/75

CPC classification number: G06V20/58 ,  G06T3/4053 ,  G06V10/25 ,  G06V10/751 ,  G06V2201/07

Abstract: An object detection device includes a storage medium configured to store computer-readable instructions, and a processor connected to the storage medium, in which the processor executes the computer-readable instructions to execute acquiring a captured image of a surface along which a mobile object is able to travel, which is captured with an inclination with respect to the surface, generating a low-resolution image obtained by lowering image quality of the captured image, defining a plurality of partial area sets each having partial areas in the low-resolution image, and deriving a total value obtained by totalizing differences in feature amount between the partial areas included in each of the plurality of partial area sets and partial areas in the vicinity to extract a point of interest on the basis of the total value, each of the plurality of partial area sets is defined to include a plurality of partial areas in a target area of each partial area set, and the target area is obtained by cutting out a part of the low-resolution image limited in a vertical direction so that at least a part thereof does not overlap with another partial area set in the vertical direction.