Method of generating cinemagraph based on deep learning

    公开(公告)号:US12182918B2

    公开(公告)日:2024-12-31

    申请号:US17847472

    申请日:2022-06-23

    Abstract: A method of training a deep neural network for generating a cinemagraph is disclosed. The method may include preparing a foreground layer input by using an input video, preparing a background layer input by using the input video, providing a foreground layer output and a background layer output from the DNN by inputting, to the DNN, the foreground layer input and the background layer input, providing an output video by synthesizing the foreground layer output with the background layer output, and updating intrinsic parameters of the DNN a plurality of times, based on the input video, the foreground layer input, the foreground layer output, the background layer output, and the output video.

    IMMERSIVE DISPLAY APPARATUS AND METHOD FOR CREATION OF PERIPHERAL VIEW CORRESPONDING TO INPUT VIDEO

    公开(公告)号:US20180286013A1

    公开(公告)日:2018-10-04

    申请号:US15648030

    申请日:2017-07-12

    Abstract: The present disclosure relates to an immersive display apparatus and method for creation of a peripheral view image corresponding to an input video, the method comprising a pre-processing step of obtaining scene-space information at a main-view video signal corresponding to a first area, a pre-warping step of performing first warping to at least one neighborhood frame corresponding to a target frame included in the pro-processed video signal and determining an outlier from the result of the first warping, a sampling step of sampling at least one neighborhood frame to be used for extrapolation from the result of the first warping, a warping step of performing second warping to the sampled frame except for the outlier to generate a peripheral view image signal corresponding to a second area around the first area, and a blending step of blending the peripheral view image signal to the main-view video signal.

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