POSTING SUPPORT APPARATUS, AND POSTING SUPPORT METHOD

    公开(公告)号:US20230196769A1

    公开(公告)日:2023-06-22

    申请号:US18113086

    申请日:2023-02-23

    Applicant: Cookpad Inc.

    CPC classification number: G06V20/30 G06V10/945 G06V10/70 G06Q50/01 G06V2201/10

    Abstract: A posting support apparatus 10 is provided with an image storage section 100 for storing a plurality of image data items, a model storage section 101 storing a trained model 1011 for determining a type of a subject in an image, a classification processing section 102 for inputting each of the image data items to the trained model 1011 to classify each of the image data items as a target image in which a subject of a specified type is captured or a non-target image in which a subject other than the subject of the specified type is captured, and a candidate presentation section 103 for displaying the target image or the non-target image as a user's utilization candidate image.

    Data sharing and storage control system and method

    公开(公告)号:US11645403B2

    公开(公告)日:2023-05-09

    申请号:US17028182

    申请日:2020-09-22

    Abstract: A data sharing control method. The method includes detecting a plurality of images on one or more devices operated by a first user, the one or more devices comprising a particular device. A plurality of tags are determined for the plurality of images, and a plurality of settings are received based on the plurality of tags from a second user. A particular image is detected on the particular device. One or more particular tags of the particular image on the particular device are determined, and a sharing action of the particular image by the particular device is blocked based on the plurality of settings and the one or more particular tags.

    METHOD AND DEVICE FOR DETERMINING THAT A DETECTED OBJECT BELONGS TO A SPECIFIC CLASS

    公开(公告)号:US20240355127A1

    公开(公告)日:2024-10-24

    申请号:US18606543

    申请日:2024-03-15

    Applicant: Axis AB

    Inventor: Ludvig HASSBRING

    Abstract: A method for classifying a detected object is disclosed. First and second object detectors detect first and second objects in first and second image frames, respectively, of a video sequence, and first and second probability scores respectively are calculated indicating a probability that the detected object belongs to a specific class. The second image frame is subsequent to the first image frame. The first object detector has a higher object detection precision and a longer processing time than the second object detector. The first and second object detections are performed in parallel. Reducing the first classification threshold or increasing the first probability score are performed if the first probability score is below a first classification threshold and the second probability score is above a second classification threshold. The first object is determined to belong to the specific class based on the probability scores and the classification thresholds.

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