-
Patent Agency Ranking
公开(公告)号：US20170262414A1
公开(公告)日：2017-09-14
申请号：US15067108
申请日：2016-03-10
Applicant: ADOBE SYSTEMS INCORPORATED
Inventor： I-Ming Pao , Zhaowen Wang , Hailin Jin , Alan Lee Erickson
CPC classification number: G06F17/214 , G06N3/0454
Abstract: Embodiments of the present invention are directed at providing a font similarity system. In one embodiment, a new font is detected on a computing device. In response to the detection of the new font, a pre-computed font list is checked to determine whether the new font is included therein. The pre-computed font list including feature representations, generated independently of the computing device, for corresponding fonts. In response to a determination that the new font is absent from the pre-computed font list, a feature representation for the new font is generated. The generated feature representation capable of being utilized for a similarity analysis of the new font. The feature representation is then stored in a supplemental font list to enable identification of one or more fonts installed on the computing device that are similar to the new font. Other embodiments may be described and/or claimed.
-
公开(公告)号：US20180365536A1
公开(公告)日：2018-12-20
申请号：US15626749
申请日：2017-06-19
Applicant: Adobe Systems Incorporated
Inventor： Zhaowen Wang , Sarah Aye Kong , I-Ming Pao , Hailin Jin , Alan Lee Erickson
Abstract: Systems and techniques for identification of fonts include receiving a selection of an area of an image including text, where the selection is received from within an application. The selected area of the image is input to a font matching module within the application. The font matching module identifies one or more fonts similar to the text in the selected area using a convolutional neural network. The one or more fonts similar to the text are displayed within the application and the selection and use of the one or more fonts is enabled within the application.
-
公开(公告)号：US20190108665A1
公开(公告)日：2019-04-11
申请号：US15725730
申请日：2017-10-05
Applicant: Adobe Systems Incorporated
Inventor： Russell Thomas Williams , Habib Khalfallah , Jan Stoeckmann , Alan Lee Erickson
Abstract: Techniques and systems for component-based digital image synchronization are described. In one example, a digital image is stored as a composite file with a number of separately compressed individual components. Indicators are generated during an editing process of a digital image. The indicators are usable to correlate altered portions of the digital image with compressed components of the composite digital image file. The altered components are then communicated to a synchronization service for synchronization with a remote representation of the digital image file.
-
公开(公告)号：US20180039605A1
公开(公告)日：2018-02-08
申请号：US15229108
申请日：2016-08-04
Applicant: ADOBE SYSTEMS INCORPORATED
Inventor： I-Ming Pao , Alan Lee Erickson , Yuyan Song , Seth Shaw , Hailin Jin , Zhaowen Wang
IPC: G06F17/21 , G06Q20/40 , G06Q20/12 , G06F3/0482
Abstract: Embodiments of the present invention are directed at providing a font similarity preview for non-resident fonts. In one embodiment, a font is selected on a computing device. In response to the selection of the font, a pre-computed font list is checked to determine what fonts are similar to the selected font. In response to a determination that similar fonts are not local to the computing device, a non-resident font list is sent to a font vendor. The font vendor sends back previews of the non-resident fonts based on entitlement information of a user. Further, a full non-resident font can be synced to the computing device. Other embodiments may be described and/or claimed.
-
公开(公告)号：US09536337B1
公开(公告)日：2017-01-03
申请号：US14923023
申请日：2015-10-26
Applicant: ADOBE SYSTEMS INCORPORATED
Inventor： Alan Lee Erickson
CPC classification number: G06T5/003 , G06T5/002 , G06T2207/10024
Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to restoring digital image noise lost in a blur process. In one embodiment, a noise reduction factor is calculated for each pixel of the digital image that has had a blur applied thereto. The noise reduction factor for a respective pixel is indicative of an estimated reduction in noise resulting from an amount of blur applied to the respective pixel. A noise compensation value can then be determined for each of the pixels, based on the noise reduction factor calculated for each of the pixels and a target noise level for the digital image as a whole. Once the noise compensation value is determined, noise can be applied to each of the plurality of pixels in accordance with the determined noise compensation value. Other embodiments may be described and/or claimed.
Abstract translation: 本发明的实施例提供了用于恢复在模糊处理中丢失的数字图像噪声的系统，方法和计算机存储介质。 在一个实施例中，对已经施加模糊的数字图像的每个像素计算噪声降低因子。 相应像素的噪声降低因子表示由施加到相应像素的模糊量导致的噪声的估计减少。 然后可以基于为每个像素计算的噪声降低因子和整个数字图像的目标噪声电平，为每个像素确定噪声补偿值。 一旦确定了噪声补偿值，则可以根据确定的噪声补偿值将噪声施加到多个像素中的每一个。 可以描述和/或要求保护其他实施例。
-
-
-
-
Search Results
5
records
(took 0.015 seconds)
