Dynamic image filters for modifying a digital image over time according to a dynamic-simulation function

    公开(公告)号:US11409423B1

    公开(公告)日:2022-08-09

    申请号:US17156994

    申请日:2021-01-25

    Applicant: Adobe Inc.

    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that provide and apply dynamic image filters to modify digital images over time to simulate a dynamical system. Such dynamic image filters can modify a digital image to progress through different frames depicting visual effects mimicking natural and/or artificial qualities of a fluid, gas, chemical, cloud formation, fractal, or various physical matters or phenomena according to a dynamic-simulation function. Upon detecting a selection of a dynamic image filter, the disclosed systems can identify a dynamic-simulation function corresponding to the dynamical system. Based on selecting a portion of the (or entire) digital image at which to apply the dynamic image filter, the disclosed systems incrementally modify the digital image across time steps to simulate the dynamical system according to the dynamic-simulation function.

    DYNAMIC IMAGE FILTERS FOR MODIFYING A DIGITAL IMAGE OVER TIME ACCORDING TO A DYNAMIC-SIMULATION FUNCTION

    公开(公告)号:US20220391077A1

    公开(公告)日:2022-12-08

    申请号:US17818541

    申请日:2022-08-09

    Applicant: Adobe Inc.

    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that provide and apply dynamic image filters to modify digital images over time to simulate a dynamical system. Such dynamic image filters can modify a digital image to progress through different frames depicting visual effects mimicking natural and/or artificial qualities of a fluid, gas, chemical, cloud formation, fractal, or various physical matters or phenomena according to a dynamic-simulation function. Upon detecting a selection of a dynamic image filter, the disclosed systems can identify a dynamic-simulation function corresponding to the dynamical system. Based on selecting a portion of the (or entire) digital image at which to apply the dynamic image filter, the disclosed systems incrementally modify the digital image across time steps to simulate the dynamical system according to the dynamic-simulation function.

    DYNAMIC IMAGE FILTERS FOR MODIFYING A DIGITAL IMAGE OVER TIME ACCORDING TO A DYNAMIC-SIMULATION FUNCTION

    公开(公告)号:US20220236863A1

    公开(公告)日:2022-07-28

    申请号:US17156994

    申请日:2021-01-25

    Applicant: Adobe Inc.

    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that provide and apply dynamic image filters to modify digital images over time to simulate a dynamical system. Such dynamic image filters can modify a digital image to progress through different frames depicting visual effects mimicking natural and/or artificial qualities of a fluid, gas, chemical, cloud formation, fractal, or various physical matters or phenomena according to a dynamic-simulation function. Upon detecting a selection of a dynamic image filter, the disclosed systems can identify a dynamic-simulation function corresponding to the dynamical system. Based on selecting a portion of the (or entire) digital image at which to apply the dynamic image filter, the disclosed systems incrementally modify the digital image across time steps to simulate the dynamical system according to the dynamic-simulation function.

    Robust tracking of objects in videos

    公开(公告)号:US10319412B2

    公开(公告)日:2019-06-11

    申请号:US15353186

    申请日:2016-11-16

    Applicant: Adobe Inc.

    Abstract: The present disclosure is directed toward systems and methods for tracking objects in videos. For example, one or more embodiments described herein utilize various tracking methods in combination with an image search index made up of still video frames indexed from a video. One or more embodiments described herein utilize a backward and forward tracking method that is anchored by one or more key frames in order to accurately track an object through the frames of a video, even when the video is long and may include challenging conditions.

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