Artificial Intelligence (AI)-Based Generation of In-App Asset Variations

    公开(公告)号:US20240273402A1

    公开(公告)日:2024-08-15

    申请号:US18169015

    申请日:2023-02-14

    CPC classification number: G06N20/00

    Abstract: A description of a reference version of an in-app asset is provided to an artificial intelligence model. A contextual communication is provided to the artificial intelligence model, wherein the contextual communication specifies a contextual feature for generation of variations of the reference version of the in-app asset. The artificial intelligence model is executed to automatically generate a variation of the in-app asset based on the contextual feature specified by the contextual communication, where the variation of the in-app asset is defined relative to the reference version of the in-app asset. The automatically generated variation of the in-app asset is conveyed for human assessment. In some embodiments, the automatically generated variation of the in-app asset is subjected to an automatic culling process before being conveyed for human assessment. In some embodiments, the in-app asset is defined by multiple layers. The in-app asset is either an audio asset or a graphical asset.

    INFORMATION PROCESSING APPARATUS AND DEVICE INFORMATION DERIVATION METHOD

    公开(公告)号:US20240257391A1

    公开(公告)日:2024-08-01

    申请号:US18418390

    申请日:2024-01-22

    Abstract: Provided is an information processing apparatus including a captured image acquisition unit that acquires an image captured of a device including markers, an extraction unit that extracts a marker image coordinate in the captured image, a position and posture derivation unit that derives position information and posture information of the device from the extracted marker image coordinate and a three-dimensional coordinate of a candidate marker in a three-dimensional model of the device by performing a predetermined calculation, and a sensor data acquisition unit. The position and posture derivation unit places the three-dimensional model in a virtual three-dimensional space, and discards or selects the candidate marker to be used for the calculation, on the basis of a difference between an orientation of a surface on which the candidate marker is provided among surfaces of the three-dimensional model and an orientation of a screen surface of the captured image.

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