公开(公告)号：US20230196705A1

公开(公告)日：2023-06-22

申请号：US18168588

申请日：2023-02-14

Applicant: MOLCHIP TECHNOLOGY (SHANGHAI) CO., LTD.

Inventor： WEI, Hu ,  TU, Zhiguo

IPC: G06V10/20 ,  G06V20/52 ,  G06V10/82 ,  G06V10/10 ,  G06T3/40 ,  G06V10/80

CPC classification number: G06V10/20 ,  G06V20/52 ,  G06V10/82 ,  G06V10/16 ,  G06T3/40 ,  G06V10/809 ,  G06V2201/07

Abstract: This application discloses a method and apparatus for improving video target detection performance in surveillance edge computing. This application relates to the technical field of digital image processing. The method includes: determine the size of multiple rectangular sliding windows for scanning according to the input size of the object detection neural network algorithm and the size of the original input image; when each frame is detected, the original input image and the sub-images in each rectangular sliding window are scaled in different proportions; the resolution of the scaled original input image is lower than that of the scaled sliding window sub-images; stitching the scaled images into a rectangular image and using it as a detection input image; the detection is performed by an object detection neural network algorithm corresponding to the size of the detection input image.

公开(公告)号：US20230196568A1

公开(公告)日：2023-06-22

申请号：US18081694

申请日：2022-12-15

Applicant: Chieh-Hung Chang ,  Yuan-Hsing Hsu ,  Jen-Sheng Huang ,  Nien-Lun Chen ,  Shih-Hsu Huang ,  Kun-Sung Chen ,  Chun-Te Shen ,  Wei-Ting Chang ,  Kuo-Ting Tang ,  Zhih-Cherng Chen

Inventor： Chieh-Hung Chang ,  Yuan-Hsing Hsu ,  Jen-Sheng Huang ,  Nien-Lun Chen ,  Shih-Hsu Huang ,  Kun-Sung Chen ,  Chun-Te Shen ,  Wei-Ting Chang ,  Kuo-Ting Tang ,  Zhih-Cherng Chen

IPC: G06T7/00 ,  G06T5/00 ,  G06T5/30 ,  G06T7/62 ,  G06V10/28 ,  G06V10/75

CPC classification number: G06T7/0012 ,  G06T5/007 ,  G06T5/30 ,  G06T7/62 ,  G06V10/28 ,  G06V10/758 ,  G06T2207/30012 ,  G06V2201/07

Abstract: Embodiments of the disclosure provide an angiography image determination method and an angiography image determination device. The method includes: obtaining a plurality of first images of a body part injected with a contrast medium; obtaining a plurality of corresponding second images by performing a first image preprocessing operation on each first image; obtaining a pixel statistical characteristic of each second image; finding a candidate image based on the pixel statistical characteristic of each second image; and finding a reference image corresponding to the candidate image among the plurality of first images.

公开(公告)号：US11682201B2

公开(公告)日：2023-06-20

申请号：US16608135

申请日：2018-04-25

Applicant: SKANSENSE S.L.U.

Inventor： Cristina Porcel Magnusson

IPC: G06V20/10 ,  G06T7/11 ,  G06T7/194 ,  G06V30/24

CPC classification number: G06V20/176 ,  G06T7/11 ,  G06T7/194 ,  G06V30/248 ,  G06T2207/10036 ,  G06V20/194 ,  G06V30/2528 ,  G06V2201/07

Abstract: Methods of detecting and/or identifying an artificial target within an image are provided. These methods comprise: applying to a region of the image a primary classification algorithm for performing a feature extraction of the image region, the primary classification algorithm being based on a spectral profile defined by one or more spectral signatures with one or more features in at least part of the infrared spectrum; obtaining a relation between the extracted features of the image region and the spectral profile; verifying whether a level of confidence of the obtained relation between the extracted features and the spectral profile is higher than a first predetermined confirmation level; and, in case of positive (or true) result of said verification, determining that the image region corresponds to artificial target to be detected, thereby obtaining a confirmed artificial target. Systems and computer programs are also provided that are suitable for performing said methods.

公开(公告)号：US20230186588A1

公开(公告)日：2023-06-15

申请号：US18165137

申请日：2023-02-06

Applicant: FUJIFILM Corporation

Inventor： Toshihiro USUDA

IPC: G06V10/25 ,  G06T5/50 ,  G06V10/26 ,  G06V10/56 ,  G06V10/74 ,  G06F3/14

CPC classification number: G06V10/25 ,  G06T5/50 ,  G06V10/26 ,  G06V10/56 ,  G06V10/761 ,  G06F3/14 ,  G06V2201/07 ,  G06T2207/10068 ,  G06T2207/10132 ,  G06T2207/20221 ,  G06T2207/30096

Abstract: Provided are an image processing apparatus, method, and program that can appropriately support a treatment using an instrument. An image processing apparatus for processing an image captured with an endoscope having a distal end from which an instrument is protrudable includes a processor. The processor is configured to perform a process of acquiring an image captured with the endoscope, a process of causing a display to display the acquired image, a process of detecting a region of interest from the acquired image, a process of determining whether the region of interest is present at a position reachable by the instrument protruded from the distal end of the endoscope, and a process of providing a notification in a case where it is determined that the region of interest is present at a position reachable by the instrument protruded from the distal end of the endoscope.

公开(公告)号：US20230177854A1

公开(公告)日：2023-06-08

申请号：US17925354

申请日：2020-06-16

Applicant: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Seung Ho Han ,  Ho Jin Choi

IPC: G06V20/70 ,  G06T7/90 ,  G06V10/44 ,  G06F40/44

CPC classification number: G06V20/70 ,  G06F40/44 ,  G06T7/90 ,  G06V10/44 ,  G06T2207/10024 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06V2201/07

Abstract: apparatus and method for automatically generating an image caption is provided capable of giving an explanation by using Bayesian inference and an image area-word mapping module on the basis of a deep learning algorithm. An apparatus for automatically generating an image caption, according to one embodiment of the present invention, includes: an automatic caption generation module for creating a caption by applying a deep learning algorithm to an image received from a client; a caption basis generation module for creating a basis for the caption by mapping a partial area in the image received from the client with respect to important words in the caption received from the automatic caption generation module; and a visualization module for visualizing the caption received from the automatic caption generation module and the basis for the caption received from the caption basis generation module to return same to the client.

公开(公告)号：US20230177717A1

公开(公告)日：2023-06-08

申请号：US17922120

申请日：2020-04-30

Applicant: Google LLC

Inventor： Vikram Vasant Tank ,  William Sumner Rutledge ,  Kai S. Yick ,  Carlos Henrique Esteves Mendonca

IPC: G06T7/70 ,  G06V10/82 ,  G06V20/40 ,  G06V20/62 ,  H04N23/51

CPC classification number: G06T7/70 ,  G06V10/82 ,  G06V20/44 ,  G06V20/625 ,  H04N23/51 ,  G06V2201/07 ,  G06T2207/30196 ,  G06T2207/30242

Abstract: In general, the disclosure is directed to lightweight sensors that enable privacy preserving detection of objects or related information present in image data. One aspect of the disclosure includes detection methods that do not require information such as motion or thermal in determining object detection. Rather, implementations can utilize a machine-learned model to determine whether objects of a type are present in an image. To account for possible generation of private data, example implementations can include hardware and/or a computing architecture configured to only maintain or transmit sensor signals generated based at least in part on output of the machine-learned model.

公开(公告)号：US20230177716A1

公开(公告)日：2023-06-08

申请号：US17921371

申请日：2020-05-11

Applicant: Mitsubishi Electric Corporation

Inventor： Keiichi TSUDA

IPC: G06T7/70 ,  G06V10/25 ,  G06V10/75 ,  G06V10/74 ,  G06V10/764

CPC classification number: G06T7/70 ,  G06V10/25 ,  G06V10/758 ,  G06V10/761 ,  G06V10/764 ,  G06V2201/07 ,  G06T2207/20084 ,  G06T2207/20101

Abstract: Provided is a second-part-position estimating unit (120) that calculates a plurality of second-part estimated positions by estimating a position of a second part in a target image from a plurality of first-part position candidates, each of which is a candidate of a position of a first part in the target image; and a first-part-position-candidate confidence-level calculating unit (130) that calculates a plurality of first-part-position candidate confidence levels indicating confidence levels of the first-part position candidates so that the longer the distance between a second-part position, which is the position of the second part in the target image, and one of the second-part estimated positions, the lower the confidence level of the first-part position candidate used for the estimation of the one of the second-part estimated position out of the first-part position candidates.

公开(公告)号：US20230177678A1

公开(公告)日：2023-06-08

申请号：US17806402

申请日：2022-06-10

Applicant: Tata Consultancy Services Limited

Inventor： MANU SHEORAN ,  MEGHAL DANI ,  MONIKA SHARMA ,  LOVEKESH VIG

IPC: G06T7/00 ,  G06V10/25 ,  G06V10/26 ,  G06V10/778 ,  G06V10/44

CPC classification number: G06T7/0012 ,  G06V10/25 ,  G06V10/26 ,  G06V10/778 ,  G06V10/454 ,  G06T2207/10081 ,  G06T2207/30096 ,  G06V2201/07 ,  G06V2201/032

Abstract: State of the art deep network based Universal Lesion Detection (ULD) techniques inherently depend on large number of datasets for training the systems. Moreover, these system are specifically trained for lesion detection in organs of a Region of interest (RoI) of a body. Thus, requires retraining when the RoI varies. Embodiments herein disclose a method and system for domain knowledge augmented multi-head attention based robust universal lesion detection. The method utilizes minimal number of Computer Tomography (CT) scan slices to extract maximum information using organ agnostic HU windows and a convolution augmented attention module for a computationally efficient ULD with enhanced prediction performance.

公开(公告)号：US11663832B2

公开(公告)日：2023-05-30

申请号：US17551621

申请日：2021-12-15

Applicant: MICROMAX INTERNATIONAL CORP. ,  NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Kai-Lung Hua ,  Yung-Yao Chen ,  Sin-Ye Jhong ,  Yo-Cheng Chen ,  Ba-Lin Lin ,  Tzyy-Yzong Lin ,  Cheng-Shu Wen ,  Yen-Po Wang ,  Chun-Jung Chen ,  Tung-Hsin Yang ,  Wen-Hsiang Lu ,  Chyi-Jia Huang

IPC: G06V20/58 ,  G06T5/00 ,  G06V10/80 ,  G06V10/75 ,  G06V10/74 ,  G01S13/90 ,  H04N23/55

CPC classification number: G06V20/58 ,  G01S13/9027 ,  G01S13/9029 ,  G06T5/003 ,  G06V10/757 ,  G06V10/761 ,  G06V10/803 ,  H04N23/55 ,  G06T2207/10024 ,  G06T2207/10044 ,  G06T2207/30252 ,  G06T2210/12 ,  G06V2201/07

Abstract: A method for detecting objects and labeling the objects with distances in an image includes steps of: obtaining a thermal image from a thermal camera, an RGB image from an RGB camera, and radar information from an mmWave radar; adjusting the thermal image based on the RGB image to generate an adjusted thermal image, and generating a fused image based on the RGB image and the adjusted thermal image; generating a second fused image based on the fused image and the radar information; detecting objects in the images, and generating, based on the fused image, another fused image including bounding boxes marking the objects; and determining motion parameters of the objects.

公开(公告)号：US20230162468A1

公开(公告)日：2023-05-25

申请号：US17906562

申请日：2021-03-22

Applicant: SONY GROUP CORPORATION

Inventor： SUGURU AOKI ,  RYUTA SATOH ,  YUSUKE HIEIDA

IPC: G06V10/44 ,  G06T7/11 ,  G06V10/82

CPC classification number: G06V10/44 ,  G06T7/11 ,  G06V10/82 ,  G06T2207/10144 ,  G06V2201/07

Abstract: It is possible to improve characteristics of recognition processing using a captured image. An information processing device according to the present disclosure includes: a setting section (124) that sets a pixel position for acquiring a sampling pixel for each divided region obtained by dividing imaging information including pixels; a calculation section (221) that calculates a feature amount of a sampling image including the sampling pixel; and a recognition section (225) that performs recognition processing on the basis of the feature amount of the sampling image and outputs a recognition processing result. The setting section sets different pixel positions for first imaging information and second imaging information acquired after the first imaging information in time series among pieces of the imaging information.