MAPPING VIDEO CONFERENCING CONTENT TO VIDEO FRAMES

    公开(公告)号:US20250039335A1

    公开(公告)日:2025-01-30

    申请号:US18226740

    申请日:2023-07-26

    Applicant: Adobe Inc.

    Abstract: Methods and systems for mapping video conferencing content to video frames are provided. In an example method, a processing device receives video conference information and a digital video, the digital video including a plurality of frames. The processing device segments the video conference information into one or more video-conference time segments and the digital video into one or more digital-video time segments. The processing device associates each video-conference time segment with a digital-video time segment. The processing device maps first content information of a first video-conference time segment of the one or more video-conference time segments onto a first digital-video time segment associated with the first video-conference time segment based a first identifier of the first content information. The processing device causes the first content information to be displayed during a displaying of the digital video.

    MEMORY-BASED VIDEO OBJECT SEGMENTATION

    公开(公告)号:US20250037461A1

    公开(公告)日:2025-01-30

    申请号:US18361707

    申请日:2023-07-28

    Applicant: Adobe Inc.

    Abstract: Embodiments are disclosed for a method including obtaining a region of interest of a current frame of a video sequence depicting an object. The method may further include determining, by a mask propagation model, a likelihood of each pixel of the current frame being associated with the object in the region of interest of the current frame based on the region of interest of the current frame and a fixed number of previous frames of the video sequence including the object. The method may further include replacing a previous frame of the fixed number of previous frames with the current frame. The method may further include displaying the current frame of the video sequence including a masked object in the region of interest of the current frame based on the likelihood of one or more pixels of the current frame being associated with the object.

    Modifying digital images using combinations of direct interactions with the digital images and context-informing speech input

    公开(公告)号:US12210800B2

    公开(公告)日:2025-01-28

    申请号:US18311713

    申请日:2023-05-03

    Applicant: Adobe Inc.

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that edit digital images using combinations of speech input and gesture interactions. For instance, in some embodiments, the disclosed systems receive speech input from a client device displaying a digital image within a graphical user interface, the digital image portraying an object. Additionally, the disclosed systems detect, via the graphical user interface, one or more gesture interactions with respect to the object of the digital image. Based on the speech input, the disclosed systems determine an edit for the object of the digital image indicated by the one or more gesture interactions. Further, the disclosed systems modify the object within the digital image using the edit indicated by the one or more gesture interactions.

    AUTOMATED PROPAGATION OF GLYPH EDITS TO CORRESPONDING ADORNMENT

    公开(公告)号:US20250029294A1

    公开(公告)日:2025-01-23

    申请号:US18356749

    申请日:2023-07-21

    Applicant: Adobe Inc.

    Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for automated propagation of glyph edits to corresponding adornments. In embodiments, an indication to attach an adornment to a glyph associated with a variable font is identified. Thereafter, an anchor point indicating a point of attachment of the adornment to the glyph is identified. Based on obtaining an indication to modify a variable font property associated with the glyph, an edit to apply to the adornment is determined. Generally, the edit maintains an alignment of the adornment with a modified anchor point reflecting the modified variable font property associated with the glyph. Thereafter, the edit is applied to the adornment.

    UPSAMPLING A DIGITAL MATERIAL MODEL BASED ON RADIANCES

    公开(公告)号:US20250029207A1

    公开(公告)日:2025-01-23

    申请号:US18355952

    申请日:2023-07-20

    Applicant: Adobe Inc.

    Abstract: In implementation of techniques for upsampling a digital material model based on radiances, a computing device implements an upsampling system to receive an input digital material model having a first resolution. The upsampling system generates a bilinearly upsampled texel based on the input digital material model having the first resolution. The upsampling system then generates a texel having a second resolution that is higher than the first resolution based on the bilinearly upsampled texel using a machine learning model trained on training data to generate texels. Based on the texel having the second resolution, the upsampling system generates an output digital material model having a resolution that is higher than the first resolution.

    LOCAL DEFORMATION FOR INTERACTIVE SHAPE EDITITING

    公开(公告)号:US20250029203A1

    公开(公告)日:2025-01-23

    申请号:US18224946

    申请日:2023-07-21

    Applicant: ADOBE INC.

    Abstract: Systems and methods provide local deformation for shapes. In accordance with some aspects, input to deform a shape is received. The shape comprises a plurality of vertices with each vertex having a vertex position. Based on the input, deformed vertex positions are determined for the plurality of vertices by minimizing an energy function that includes an elastic energy term and a regularization term that is a function of vertex position change for each vertex having a vertex position change below a threshold and a constant for each vertex having a vertex position change above the threshold. A deformed shape is generated based on the deformed vertex positions.

    DIALOGUE SKELETON ASSISTED PROMPT TRANSFER FOR DIALOGUE SUMMARIZATION

    公开(公告)号:US20250028751A1

    公开(公告)日:2025-01-23

    申请号:US18355901

    申请日:2023-07-20

    Applicant: Adobe Inc.

    Abstract: Dialogue skeleton assisted prompt transfer for dialogue summarization techniques are described that support training of a language model to perform dialogue summarization in a few-shot scenario. A processing device, for instance, receives a training dataset that includes training dialogues. The processing device then generates dialogue skeletons based on the training dialogues using one or more perturbation-based probes. The processing device trains a language model using prompt transfer between a source task, e.g., dialogue state tracking, and a target task, e.g., dialogue summarization, using the dialogue skeletons as supervision. The processing device then receives an input dialogue and uses the trained language model to generate a summary of the input dialogue.

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