Evenly spaced curve sampling technique for digital visual content transformation

    公开(公告)号:US11127124B2

    公开(公告)日:2021-09-21

    申请号:US16666179

    申请日:2019-10-28

    Applicant: Adobe Inc.

    Abstract: A curve sampling technique for generating transformed digital visual content is leveraged in a digital medium environment. Initially, a curve sampling system obtains digital visual content, e.g., images and videos. The curve sampling system generates transformed digital visual content by transforming one or more pixels of the digital visual content using a lookup table that is derived from samples of a curve taken at evenly spaced intervals along a y-axis of a graph of the curve. Broadly speaking, the curve defines how to transform a visual characteristic of the pixels in order to achieve a desired digital visual content transformation. Additionally, the curve sampling may correspond to one step in a series of steps for transforming colors of digital visual content. Indeed, such transformations may involve multiple curve sampling steps.

    COLOR TRANSFORMS USING STATIC SHADERS COMPILED AT INITIALIZATION

    公开(公告)号:US20210134024A1

    公开(公告)日:2021-05-06

    申请号:US16674446

    申请日:2019-11-05

    Applicant: Adobe Inc.

    Abstract: A method, in which one or more processing devices perform operations, includes compiling a static shader at initialization of a media-processing application. The static shader is configured to transform color data from multiple pre-transform color spaces to multiple post-transform color spaces. A runtime of the media-processing application occurs subsequent to the initialization, and the method further includes determining, during the runtime, that the static shader is applicable to a color transform from a pre-transform color space to a post-transform color space. The method further includes executing the static shader to perform the color transform, based on determining that the static shader is applicable to the color transform.

    Automatic Generation of Responsive Font Effects Based on Font Elements

    公开(公告)号:US20210124796A1

    公开(公告)日:2021-04-29

    申请号:US16667119

    申请日:2019-10-29

    Applicant: Adobe Inc.

    Abstract: A document authoring application receives a text input including one or more alphanumeric characters. A glyph extraction module in the application determines graphical data describing glyphs of the alphanumeric characters. From the graphical data, the glyph extraction module extracts visual elements, each visual element including a color or an outline from the glyphs. The glyph extraction module generates a responsive font effect that includes the extracted visual element applied to one or more of an underline effect, a strikethrough effect, a bullet point effect, or a list dot effect. Responsive to a modification of the text input, the glyph extraction module extracts an additional visual element from an additional glyph associated with the modified text. The responsive font effect is modified to include the additional visual element. The user interface is updated to display the responsive font effect or the modified font effect.

    Vector graphic font character generation techniques

    公开(公告)号:US10818050B2

    公开(公告)日:2020-10-27

    申请号:US16271598

    申请日:2019-02-08

    Applicant: Adobe Inc.

    Abstract: Vector graphic font generation system implemented as part of a computing device is described. The system is configured to improve generate vector graphic font characters by detecting an object within a digital image, segmenting the digital image extract the facial region within the digital image, generating a vector graphic by converting a format of the segmented digital image into a scalable vector format, mapping the vector graphic with Unicode characters, and subsequently mapping the Unicode character with a glyph identifier. The vector graphic font generation system described herein enables the expression of a wide spectrum of emotions in numerous applications using font characters that precisely match the object, e.g., facial appearance of users as depicted in digital images.

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