Using portrait images in augmented reality components

    公开(公告)号:US11354872B2

    公开(公告)日:2022-06-07

    申请号:US16949700

    申请日:2020-11-11

    Applicant: Snap Inc.

    Abstract: The technical problem of creating an augmented reality (AR) experience that, on one hand, is accessible from a camera view user interface provided with a messaging client and that, also, can perform a modification based on a previously captured image of a user, is addressed by providing an AR component. When a user, while accessing the messaging client, engages a user selectable element representing the AR component in the camera view user interface, the messaging system loads the AR component in the messaging client. The AR component comprises a target media content object, which can be animation or live action video. The loaded AR component accesses a portrait image associated with a user and modifies the target media content using the portrait image. The resulting target media content object is displayed in the camera view user interface.

    CUSTOMIZING TEXT MESSAGES IN MODIFIABLE VIDEOS OF MULTIMEDIA MESSAGING APPLICATION

    公开(公告)号:US20210368039A1

    公开(公告)日:2021-11-25

    申请号:US16878868

    申请日:2020-05-20

    Applicant: Snap Inc.

    Abstract: A system for customizing text messages in modifiable videos of a multimedia messaging application (MMA) is provided. In one example embodiment, the system includes a processor and a memory storing processor-executable codes, wherein the processor is configured to analyze recent messages of a user in the MMA to determine a context of the recent messages; determine, based on the context, a customized text message; select, based on the context, a list of relevant modifiable videos from a database configured to store modifiable videos, the modifiable videos being associated with preset text messages; replace the preset text messages in the relevant modifiable videos with the customized message; and render the list of relevant modifiable videos for viewing and selecting by the user, the rendering including displaying the customized text message in the relevant modifiable videos.

    TEMPLATE-BASED GENERATION OF PERSONALIZED VIDEOS

    公开(公告)号:US20250022246A1

    公开(公告)日:2025-01-16

    申请号:US18904104

    申请日:2024-10-02

    Applicant: Snap Inc.

    Abstract: Provided are systems and methods for template-based generation of personalized videos. An example method includes receiving a sequence of frame images, face area parameters corresponding to positions of a face area in a frame image of the sequence of frame images, and facial landmark parameters corresponding to the frame image of the sequence of frame images, where the facial landmark parameters are absent from the frame images, receiving an image of a source face, modifying, based on the facial landmark parameters corresponding to the frame image, the image of the source face to obtain a further face image featuring the source face adopting a facial expression corresponding to the facial landmark parameters, and inserting the further face image into the frame image at a position determined by the face area parameters corresponding to the frame image, thereby generating an output frame of an output video.

    Techniques for recommending reply stickers

    公开(公告)号:US12149489B2

    公开(公告)日:2024-11-19

    申请号:US18183794

    申请日:2023-03-14

    Applicant: Snap Inc.

    Abstract: Described herein is a technique for processing a received media content item (e.g., a message), received at a messaging application of a first end-user of a messaging service, to generate a selection of some predetermined number of recommended stickers. The recommended stickers are then presented in a user interface to the first end-user, allowing the first end-user to select a sticker for use in replying to the received media content item. To generate the selection of recommended stickers, in response to receiving the media content item, the messaging application processes the media content item to identify specific attributes and characteristics (e.g., text included with the message, stickers used with the message, and other contextual metadata). The identified attributes and characteristics of the received message are then processed by a scoring model to identify the predetermined number of stickers for presenting in the reply interface as recommended reply stickers.

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