公开(公告)号：US11886966B2

公开(公告)日：2024-01-30

申请号：US18151268

申请日：2023-01-06

Applicant: Snap Inc.

Inventor： Zehao Xue ,  Zhou Ren

IPC: G06N20/00 ,  G06F18/40 ,  G06F18/214 ,  G06V20/70 ,  G06V20/20 ,  G06V20/68

CPC classification number: G06N20/00 ,  G06F18/214 ,  G06F18/40 ,  G06V20/20 ,  G06V20/70 ,  G06V20/68 ,  G06V2201/10

Abstract: Systems and methods are provided for analyzing, by a computing device, location data associated with a location of the computing device to determine that an image or video captured using a messaging application on the computing device is captured near a food-related venue or event, receiving input related to food associated with the food-related venue or event, sending the image or video and the input related to food associated with the food-related venue or event to a computing system to train a machine learning model for food detection, and updating the messaging application to comprise the trained machine learning model for food detection.

公开(公告)号：US20240020954A1

公开(公告)日：2024-01-18

申请号：US17812596

申请日：2022-07-14

Applicant: ADOBE INC.

Inventor： Sachin Kelkar ,  Ajinkya Gorakhnath Kale ,  Midhun Harikumar

IPC: G06V10/774 ,  G06T5/00 ,  G06T7/194 ,  G06V10/771 ,  G06V10/776 ,  G06V10/26 ,  G06V10/75 ,  G06F16/532

CPC classification number: G06V10/774 ,  G06T5/005 ,  G06T7/194 ,  G06V10/771 ,  G06V10/776 ,  G06V10/267 ,  G06V10/759 ,  G06F16/532 ,  G06T2207/20081 ,  G06V2201/10

Abstract: Systems and methods for image processing, and specifically for generating object-agnostic image representations, are described. Embodiments of the present disclosure receive a training image including a foreground object and a background, remove the foreground object from the training image to obtain a modified training image, inpaint a portion of the modified training image corresponding to the foreground object to obtain an inpainted training image, encode the training image and the inpainted training image using a machine learning model to obtain an encoded training image and an encoded inpainted training image, and update parameters of the machine learning model based on the encoded training image and the encoded inpainted training image.

公开(公告)号：US11874130B2

公开(公告)日：2024-01-16

申请号：US18158974

申请日：2023-01-24

Applicant: TuSimple, Inc.

Inventor： Siyuan Liu ,  Mingdong Wang ,  Xiaodi Hou

IPC: G01C21/36 ,  G06V20/56 ,  G01S17/89 ,  G01S17/86

CPC classification number: G01C21/3658 ,  G06V20/588 ,  G01S17/86 ,  G01S17/89 ,  G06V2201/10

Abstract: A method of lane detection for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: generating a ground truth associated with lane markings expressed in god's view; receiving features from at least one of a hit-map image and a fitted lane marking, wherein the hit-map image includes a classification of pixels that hit a lane marking, and the fitted lane marking includes pixels optimized based on the hit-map image; and training a confidence module based on the features and the ground truth, the confidence module configured to determine on-line whether a fitted lane marking is reasonable, using parameters that express a lane marking in an arc.

公开(公告)号：US20240013178A1

公开(公告)日：2024-01-11

申请号：US18353426

申请日：2023-07-17

Applicant: Painted Dog, Inc.

Inventor： Jared Max Browarnik ,  Ken Aizawa

IPC: G06Q20/12 ,  G06F16/71 ,  G06F16/22 ,  G06F16/78 ,  G06F9/54 ,  H04N21/472 ,  H04N21/478 ,  G06V10/764 ,  G06V10/77 ,  G06V20/40

CPC classification number: G06Q20/123 ,  G06F16/71 ,  G06F16/2255 ,  G06F16/7867 ,  G06F9/547 ,  H04N21/47217 ,  H04N21/47815 ,  G06V10/764 ,  G06V10/7715 ,  G06V20/40 ,  G06V20/48 ,  G06V2201/10

Abstract: Shoppable video enables a viewer to identify and buy items appearing in a video. To retrieve information about the items in a frame of the video, the playback device generates a perceptual hash of that frame and uses that hash to query a first database storing perceptual hashes of different version of the video. The database query returns an identifier for the frame, which is then used to query a second database that store the item information. The results of this query are returned to the playback device, which shows them to the user, enabling the viewer to learn more about and possibly purchase the item. Using queries based on perceptual hashes of different versions of the video increases the likelihood of returning a match, despite formatting differences. And using separate hash and metadata databases makes it possible to update the metadata without changing the hashes.

公开(公告)号：US11869263B2

公开(公告)日：2024-01-09

申请号：US17746233

申请日：2022-05-17

Applicant: IQVIA Inc.

Inventor： Gary Shorter ,  Barry Ahrens

IPC: G06V30/412 ,  G06F40/279 ,  G06F40/30 ,  G06V30/413 ,  G06V30/414 ,  G06V30/196 ,  G06V30/10 ,  G06V30/32

CPC classification number: G06V30/412 ,  G06F40/279 ,  G06F40/30 ,  G06V30/1983 ,  G06V30/413 ,  G06V30/414 ,  G06V30/10 ,  G06V30/32 ,  G06V2201/09 ,  G06V2201/10

Abstract: A computer-implemented tool for automated classification and interpretation of documents, such as life science documents supporting clinical trials, is configured to perform a combination of raw text, document construct, and image analyses to enhance classification accuracy by enabling a more comprehensive machine-based understanding of document content. The combination of analyses provides context for classification by leveraging relative spatial relationships among text and image elements, identifying characteristics and formatting of elements, and extracting additional metadata from the documents as compared to conventional automated classification tools.

公开(公告)号：US11854413B2

公开(公告)日：2023-12-26

申请号：US17512323

申请日：2021-10-27

Applicant: Skydio, Inc.

Inventor： Volkan Gurel ,  Bernard J. Michini ,  Edward Dale Steakley

IPC: G08G5/00 ,  G05D1/00 ,  G05D1/02 ,  G06V20/64 ,  B64C39/02 ,  B64D47/08 ,  H04B7/185 ,  G06T5/00 ,  B64U101/30 ,  G01S19/13 ,  H04W4/021

CPC classification number: G08G5/006 ,  B64C39/024 ,  B64D47/08 ,  G05D1/0033 ,  G05D1/0061 ,  G05D1/0094 ,  G05D1/0274 ,  G06T5/002 ,  G06V20/64 ,  G08G5/0069 ,  H04B7/18506 ,  B64U2101/30 ,  B64U2201/10 ,  B64U2201/20 ,  G01S19/13 ,  G06T2207/10016 ,  G06T2207/10032 ,  G06T2207/20012 ,  G06T2207/30232 ,  G06T2207/30244 ,  G06V2201/10 ,  H04W4/021

Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage media for unmanned aerial vehicle visual line of sight flight operations. A UAV computer system may be configured to ensure the UAV is operating in visual line of sight of one or more ground operators. The UAV may confirm that it has a visual line of sight with the one or more user devices, such as a ground control station, or the UAV may ensure that the UAV does not fly behind or below a structure such that the ground operator would not be able to visually spot the UAV. The UAV computer system may be configured in such a way that UAV operation will maintain the UAV in visual line of sight of a base location.

公开(公告)号：US11853377B2

公开(公告)日：2023-12-26

申请号：US14916720

申请日：2014-09-26

Applicant: SEE-OUT PTY LTD

Inventor： Sandra Mau

IPC: G06F16/9538 ,  G06F16/951 ,  G06F16/51 ,  G06F16/248 ,  G06F16/22 ,  G06F16/2457 ,  G06T7/90 ,  G06T7/11 ,  G06F16/583 ,  G06F16/58 ,  G06F18/10 ,  G06F18/21 ,  G06T3/40 ,  G06T5/00 ,  G06V30/10

CPC classification number: G06F16/9538 ,  G06F16/2228 ,  G06F16/248 ,  G06F16/24578 ,  G06F16/51 ,  G06F16/58 ,  G06F16/583 ,  G06F16/5838 ,  G06F16/5846 ,  G06F16/5854 ,  G06F16/951 ,  G06F18/10 ,  G06F18/2178 ,  G06T3/40 ,  G06T5/002 ,  G06T7/11 ,  G06T7/90 ,  G06V30/10 ,  G06V2201/09 ,  G06V2201/10

Abstract: Apparatus for performing searching of a plurality of reference images, the apparatus including one or more electronic processing devices that search the plurality of reference images to identify first reference images similar to a sample image, identify image tags associated with at least one of the first reference image, search the plurality of reference images to identify second reference images using at least one of the image tags and provide search results including at least some first and second reference images.

公开(公告)号：US11847857B2

公开(公告)日：2023-12-19

申请号：US17534870

申请日：2021-11-24

Applicant: PixArt Imaging Inc.

Inventor： Liang-Chi Chiu ,  Yu-Han Chen ,  Ming-Tsan Kao

IPC: G06V40/16 ,  B60R25/25 ,  G06V20/59

CPC classification number: G06V40/174 ,  B60R25/25 ,  G06V20/59 ,  G06V2201/10

Abstract: A vehicle device setting method including: capturing, by an image sensing unit, a first image frame; recognizing a user ID according to the first image frame; showing ID information of the recognized user ID on a screen or by a speaker; capturing a second image frame; generating a confirm signal when a first user expression is recognized by calculating an expression feature in the second image frame and comparing the recognized expression feature with stored expression data associated with a predetermined user expression to confirm whether the recognized user ID is correct or not according to the second image frame captured after the ID information is shown; controlling an electronic device according to the confirm signal; and entering a data update mode instructed by the user and updating setting information of the electronic device by current electronic device setting according to a saving signal generated by confirming a second user expression in a third image frame captured after the user ID is confirmed through showing the ID information.

公开(公告)号：US20230403459A1

公开(公告)日：2023-12-14

申请号：US17840358

申请日：2022-06-14

Applicant: Palo Alto Research Center Incorporated

Inventor： Matthew A. Shreve ,  Robert R. Price

IPC: H04N5/232 ,  G06V10/774 ,  G06V10/776 ,  G06V10/94 ,  H04N5/77 ,  H04N13/207

CPC classification number: H04N5/23222 ,  G06V10/774 ,  G06V10/776 ,  G06V10/945 ,  H04N5/232935 ,  H04N5/77 ,  H04N13/207 ,  G06V2201/10

Abstract: A system is provided which obtains images of a physical object captured by an AR recording device in a 3D scene. The system measures a level of diversity of the obtained images, for a respective image, based on at least: a distance and angle; a lighting condition; and a percentage of occlusion. The system generates, based on the level of diversity, a first visualization of additional images to be captured by projecting, on a display of the recording device, first instructions for capturing the additional images using the AR recording device. The system trains a model based on the collected data. The system performs an error analysis on the collected data to estimate an error rate for each image of the collected data. The system generates, based on the error analysis, a second visualization of further images to be captured. The model is further trained based on the collected data.

公开(公告)号：US20230401817A1

公开(公告)日：2023-12-14

申请号：US18454347

申请日：2023-08-23

Applicant: SITA Information Networking Computing UK Limited

Inventor： Tupac BASTIDAS

IPC: G06V10/74 ,  G06V10/764 ,  G06V10/42 ,  G06Q10/083 ,  G06Q30/015

CPC classification number: G06V10/74 ,  G06V10/764 ,  G06V10/42 ,  G06Q10/083 ,  G06Q30/015 ,  G06V2201/10

Abstract: A system and method for managing lost items is described. The system comprises an application that receives information associated with one or more found items, which includes an image of each found item, and item-related information associated with a lost item. An image processing module identifies metadata associated with each found item based on the image of each found item and the received information associated with each found item. A matching engine determines a score for each found item based on a comparison between the item-related information for the lost item and the metadata associated with each found item.