公开(公告)号：US10025482B2

公开(公告)日：2018-07-17

申请号：US15586380

申请日：2017-05-04

Applicant: Adobe Systems Incorporated

Inventor： Bryan O'Neil Hughes ,  David Howe ,  Jon Clauson ,  Lance Lewis

IPC: G06F3/0484 ,  G06F3/0482 ,  H04N1/00 ,  G06T11/60 ,  G06T5/00 ,  H04N9/31 ,  H04N1/387

Abstract: Techniques are disclosed for facilitating the sharing of digital imaging effects from an image originator to an image recipient. A digital imaging effect is the result of a processing technique that is applied to a digital image in a way that produces a particular visual effect. The processing techniques that underlie digital imaging effects such as these can be defined by parameters that establish how the individual pixels comprising the image are manipulated to achieve the desired visual effect. In certain embodiments such defining parameters can be incorporated into a digital image file that thus contains not only data defining the image itself, but also parameters that define one or more effects that may have been applied to the image. This advantageously allows a recipient of the digital image file to not only view the image, but also to use the incorporated parameters to apply the effect to other images.

公开(公告)号：US20140347386A1

公开(公告)日：2014-11-27

申请号：US13900789

申请日：2013-05-23

Applicant: Adobe Systems Incorporated

Inventor： Bryan O'Neil Hughes ,  David Howe ,  Jon Clauson ,  Lance Lewis

IPC: G06T11/60

CPC classification number: G06F3/04847 ,  G06F3/0482 ,  G06T5/006 ,  G06T11/60 ,  H04N1/00209 ,  H04N1/00244 ,  H04N1/387 ,  H04N9/3185

Abstract: Techniques are disclosed for facilitating the sharing of digital imaging effects from an image originator to an image recipient. A digital imaging effect is the result of a processing technique that is applied to a digital image in a way that produces a particular visual effect. The processing techniques that underlie digital imaging effects such as these can be defined by parameters that establish how the individual pixels comprising the image are manipulated to achieve the desired visual effect. In certain embodiments such defining parameters can be incorporated into a digital image file that thus contains not only data defining the image itself, but also parameters that define one or more effects that may have been applied to the image. This advantageously allows a recipient of the digital image file to not only view the image, but also to use the incorporated parameters to apply the effect to other images.

Abstract translation: 公开了用于促进从图像发送者​​到图像接收者共享数字成像效果的技术。 数字成像效果是以产生特定视觉效果的方式应用于数字图像的处理技术的结果。 基于数字成像效果（如这些）的处理技术可以由建立如何操纵包括图像的各个像素以实现期望的视觉效果的参数来定义。 在某些实施例中，这样的定义参数可以并入数字图像文件中，因此数字图像文件不仅包含定义图像本身的数据，而且还包含定义可能已应用于图像的一个或多个效果的参数。 这有利地允许数字图像文件的接收者不仅查看图像，而且还使用并入的参数来将效果应用于其他图像。

公开(公告)号：US20170235476A1

公开(公告)日：2017-08-17

申请号：US15586380

申请日：2017-05-04

Applicant: Adobe Systems Incorporated

Inventor： Bryan O'Neil Hughes ,  David Howe ,  Jon Clauson ,  Lance Lewis

IPC: G06F3/0484 ,  H04N1/00 ,  G06F3/0482

CPC classification number: G06F3/04847 ,  G06F3/0482 ,  G06T5/006 ,  G06T11/60 ,  H04N1/00209 ,  H04N1/00244 ,  H04N1/387 ,  H04N9/3185

Abstract: Techniques are disclosed for facilitating the sharing of digital imaging effects from an image originator to an image recipient. A digital imaging effect is the result of a processing technique that is applied to a digital image in a way that produces a particular visual effect. The processing techniques that underlie digital imaging effects such as these can be defined by parameters that establish how the individual pixels comprising the image are manipulated to achieve the desired visual effect. In certain embodiments such defining parameters can be incorporated into a digital image file that thus contains not only data defining the image itself, but also parameters that define one or more effects that may have been applied to the image. This advantageously allows a recipient of the digital image file to not only view the image, but also to use the incorporated parameters to apply the effect to other images.

公开(公告)号：US09672647B2

公开(公告)日：2017-06-06

申请号：US13900789

申请日：2013-05-23

Applicant: Adobe Systems Incorporated

Inventor： Bryan O'Neil Hughes ,  David Howe ,  Jon Clauson ,  Lance Lewis

IPC: G06T11/60 ,  G06T5/00 ,  H04N9/31 ,  H04N1/387

CPC classification number: G06F3/04847 ,  G06F3/0482 ,  G06T5/006 ,  G06T11/60 ,  H04N1/00209 ,  H04N1/00244 ,  H04N1/387 ,  H04N9/3185

Abstract: Techniques are disclosed for facilitating the sharing of digital imaging effects from an image originator to an image recipient. A digital imaging effect is the result of a processing technique that is applied to a digital image in a way that produces a particular visual effect. The processing techniques that underlie digital imaging effects such as these can be defined by parameters that establish how the individual pixels comprising the image are manipulated to achieve the desired visual effect. In certain embodiments such defining parameters can be incorporated into a digital image file that thus contains not only data defining the image itself, but also parameters that define one or more effects that may have been applied to the image. This advantageously allows a recipient of the digital image file to not only view the image, but also to use the incorporated parameters to apply the effect to other images.

公开(公告)号：US20180047137A1

公开(公告)日：2018-02-15

申请号：US15236700

申请日：2016-08-15

Applicant: Adobe Systems Incorporated

Inventor： Srinivasa Madhava Phaneendra Angara ,  Lance Lewis ,  Anmol Dhawan

IPC: G06T5/00 ,  G06K9/62 ,  G06K9/00

CPC classification number: G06K9/6269 ,  G06K9/00255 ,  G06K9/00281 ,  G06K9/00308 ,  G06T11/00

Abstract: Techniques are disclosed for correcting facial sentiment of digital images. Facial data captured in a target image is analyzed to obtain facial-based sentiment. A favored sentiment is determined based at least in part on the facial-based sentiment. The favored sentiment is then applied to at least one face included in the target image that doesn't reflect the favored sentiment. Analyzing facial data may include detecting facial landmarks that are good indicators of sentiment (e.g., eyes, mouth, eyebrows, jawline, and nose). Such landmarks can be processed, with supervised machine learning, to detect the corresponding facial sentiment. A favored sentiment of the target image is thus identified, and can be applied to one or more non-compliant faces in the target image. In some embodiments, the favored sentiment can be further based on a plurality of additional sentiment indicators, including geo data, text, and/or other images associated with the target image.