Video sequence selection method, computer device, and storage medium

    公开(公告)号:US12008810B2

    公开(公告)日:2024-06-11

    申请号:US17225969

    申请日:2021-04-08

    摘要: This application discloses a video sequence selection method, applicable to a computer device, the method including: receiving a to-be-matched video and a to-be-matched text, the to-be-matched text having a to-be-matched text feature sequence; invoking a spatiotemporal candidate region generator to extract a spatiotemporal candidate region set from the to-be-matched video, the spatiotemporal candidate region set including N spatiotemporal candidate regions; performing feature extraction on each spatiotemporal candidate region by using a convolutional neural network, to obtain N to-be-matched video feature sequences; invoking an attention-based interactor to obtain a matching score corresponding to each spatiotemporal candidate region, the matching score being used for representing a matching relationship between the spatiotemporal candidate region and the to-be-matched text; and selecting a target spatiotemporal candidate region from the spatiotemporal candidate region set according to the matching score corresponding to each spatiotemporal candidate region, and outputting the target spatiotemporal candidate region. In this application, an association between the video and the text in time sequence is considered during matching, thereby increasing a degree of matching between a video sequence and the text.

    LIVENESS DETECTION
    7.
    发明公开
    LIVENESS DETECTION 审中-公开

    公开(公告)号:US20230343070A1

    公开(公告)日:2023-10-26

    申请号:US18333357

    申请日:2023-06-12

    摘要: An access system, including a reception device, a recognition server, and an access control device. The reception device acquires a plurality of images of an access object. The recognition server includes a liveness detection apparatus determines corresponding eigenvectors according to the plurality of images of the access object, captures an action behavior of the access object according to a relative change between the determined eigenvectors, and determines the access object as a live body in response to capturing the action behavior of the access object. The recognition server performs identity recognition on the access object when the access object is the live body so that the access control device configures an access permission for the access object that completes the identity recognition successfully, and the access object controls, according to the configured access permission, an access barrier of a specified work region to perform a release action.

    Neural network model training method and device, and time-lapse photography video generating method and device

    公开(公告)号:US11429817B2

    公开(公告)日:2022-08-30

    申请号:US16892587

    申请日:2020-06-04

    摘要: The present disclosure describes methods, devices, and storage medium for generating a time-lapse photography video with a neural network model. The method includes obtaining a training sample. The training sample includes a training video and an image set. The method includes obtaining through training according to the training sample, a neural network model to satisfy a training ending condition, the neural network model comprising a basic network and an optimization network, by using the image set as an input to the basic network, the basic network being a first generative adversarial network for performing content modeling, generating a basic time-lapse photography video as an output of the basic network, using the basic time-lapse photography video as an input to the optimization network, the optimization network being a second generative adversarial network for performing motion state modeling, and generating an optimized time-lapse photography video as an output of the optimization network.

    Target tracking method and apparatus, electronic device, and storage medium

    公开(公告)号:US11145069B2

    公开(公告)日:2021-10-12

    申请号:US16538310

    申请日:2019-08-12

    发明人: Wenhan Luo

    摘要: Aspects of the disclosure provide an apparatus for target tracking including processing circuitry that obtains a plurality of target instances according to a target detection on image data. Each of the plurality of target instances corresponds to one of a plurality of tracked targets. The processing circuitry determines a plurality of trajectory segments, each of which indicates a trajectory of a subset of the target instances corresponding to a same tracked target. The processing circuitry determines feature information of the plurality of trajectory segments. The processing circuitry performs clustering on specified trajectory segments of the plurality of trajectory segments according to the feature information of the specified trajectory segments, to obtain a type distribution of the specified trajectory segments. The processing circuitry determines, according to the type distribution of the specified trajectory segments, a target tracking result including a same type of the specified trajectory segments.