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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.
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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.
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公开(公告)号：US20190019052A1
公开(公告)日：2019-01-17
申请号：US15650669
申请日：2017-07-14
Applicant: Adobe Systems Incorporated
Inventor： I-Ming Pao , Jue Wang , Ke Ma , Zhe Lin
CPC classification number: G06K9/00456 , G06K9/3258
Abstract: Text region detection techniques and systems for digital images using image tag filtering are described. These techniques and systems support numerous advantages over conventional techniques through use of image tags to filter text region candidates. A computing device, for instance, may first generate text region candidates through use of a variety of different techniques, such as text line detection. The computing device then assigns image tags to the text region candidates. The assigned image tags are then used by the computing device to filter the text region candidates based on whether image tags assigned to respective candidates are indicative of text.
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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.
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