METHOD AND APPARATUS FOR DETECTING CHANGES BETWEEN HETEROGENEOUS IMAGE DATA FOR IDENTIFYING DISASTER DAMAGE

    公开(公告)号:US20240185560A1

    公开(公告)日:2024-06-06

    申请号:US17989263

    申请日:2022-11-17

    IPC分类号: G06V10/74 G06V10/25 G06V10/46

    摘要: Disclosed herein method and apparatus for detecting changes between heterogeneous image data for identifying disaster damage.
    The method includes obtaining observation image data of an event occurrence region and reference image data that occurs before an event and has a heterogeneous type of an image from the observation image data; processing the observation image data and the reference image data according to an attribute of the observation image data and preprocessing the observation image data and the reference image data to determine whether or not there is an exceptional object to be excluded from a change analysis in the processed observation image data and the processed reference image data based on an event type and to process the exceptional object; and detecting a change area of the event occurrence region based on the preprocessed observation image data and the preprocessed reference image data.

    System and method for identifying and tagging individuals present in an image

    公开(公告)号:US11967167B1

    公开(公告)日:2024-04-23

    申请号:US17942854

    申请日:2022-09-12

    摘要: A system and a method for identifying and tagging individuals present in an image are disclosed. The method comprises detecting a second device present in proximity of a first device, for establishing a connection. The connection may be established while the first device enters in a camera mode. Immediately after the first device captured an image, the first device may receive identity information of individual from the second device. The identity information of individuals may comprise at least one of images and personal details of the individual. Based on the received identity information, the first device may identify the individual present in the image. The identified individuals present in the image may be tagged using their corresponding identities. Such tagging information may be stored in metadata of the image for a later usage.

    SYSTEM AND METHOD FOR IDENTIFYING AND TAGGING INDIVIDUALS PRESENT IN AN IMAGE

    公开(公告)号:US20240112490A1

    公开(公告)日:2024-04-04

    申请号:US17942854

    申请日:2022-09-12

    摘要: A system and a method for identifying and tagging individuals present in an image are disclosed The method comprises detecting a second device present in proximity of a first device, for establishing a connection. The connection may be established while the first device alters in a camera mode. Immediately after the first device captured an image, the first device may receive identity information of individuals from the second device. The identity information of individuals may comprise at least one of images and personal details of the individuals. Based on the received identity information, the first device may identify the individuals present in the image. The identified individuals present in the image may be tagged using their corresponding identities. Such tagging information may be stored in metadata of the image for a later usage.

    Determining whether a questionable video of a prominent individual is real or fake

    公开(公告)号:US20240096051A1

    公开(公告)日:2024-03-21

    申请号:US18520699

    申请日:2023-11-28

    申请人: DigiCert, Inc.

    IPC分类号: G06V10/74 G06V40/20 G10L17/26

    CPC分类号: G06V10/74 G06V40/23 G10L17/26

    摘要: Systems and methods are provided for creating authentic baseline data from high-resolution and high-definition audio and video data and for using the authentic baseline data to determine if an unknown video is real or fake. A method, according to one implementation, includes examining a questionable video of a prominent individual, wherein the questionable video shows the prominent individual speaking. The method also includes detecting speech characteristics of the prominent individual from the questionable video and detecting bodily movements of the prominent individual from the questionable video while the prominent individual is speaking. Furthermore, the method includes comparing the detected speech characteristics and detected bodily movements with reliable baseline characteristics that are certified as authentic. Based on the comparing step, the method also includes tagging the questionable video as fake or real.