公开(公告)号：US20190279344A1

公开(公告)日：2019-09-12

申请号：US15914809

申请日：2018-03-07

Applicant: Adobe Inc.

Inventor： Ashish Duggal ,  Sachin Soni ,  Himanshu Mittal ,  Amit Srivastava

IPC: G06T5/20 ,  G06K9/62 ,  G06F3/02 ,  G06F21/62

Abstract: Systems and techniques for masking non-public content in screen images are provided. An example system includes a screen capture tool, a region-based object detection system, a classifier, and an image masking engine. The screen capture tool may be configured to generate a screen image representing a screen being displayed by the system. The region-based object detection system may be configured to identify multiple regions within the screen image as potential non-public content regions. The classifier may be configured to selectively classify the identified regions as non-public content regions. The image masking engine may be configured to generate a masked image by masking the regions classified as non-public content regions in the screen image.

公开(公告)号：US20190278837A1

公开(公告)日：2019-09-12

申请号：US16419093

申请日：2019-05-22

Applicant: Adobe Inc.

Inventor： Ram Bhushan Agrawal ,  Himanshu Mittal

IPC: G06F17/24 ,  G06F17/22

Abstract: Techniques are disclosed for detecting the bounds of borderless open tables in fixed-format structured documents, such as PDF documents, and grouping text lines into predicted borderless tables. The target document comprises a set of text lines each having a respective vertical and horizontal position in the target document. A sorted list of the text lines is generated based upon a vertical and horizontal position of each text line in the target document. For each text line in the sorted list, a respective probability that the text line in the sorted list belongs to a borderless table is then determined. According to one embodiment, the probability may be determined using a classifier that may employ a logistic regression algorithm.

公开(公告)号：US10789690B2

公开(公告)日：2020-09-29

申请号：US15914809

申请日：2018-03-07

Applicant: Adobe Inc.

Inventor： Ashish Duggal ,  Sachin Soni ,  Himanshu Mittal ,  Amit Srivastava

IPC: G06T9/00 ,  G06T5/20 ,  G06K9/62 ,  G06F21/62 ,  G06F3/02

Abstract: Systems and techniques for masking non-public content in screen images are provided. An example system includes a screen capture tool, a region-based object detection system, a classifier, and an image masking engine. The screen capture tool may be configured to generate a screen image representing a screen being displayed by the system. The region-based object detection system may be configured to identify multiple regions within the screen image as potential non-public content regions. The classifier may be configured to selectively classify the identified regions as non-public content regions. The image masking engine may be configured to generate a masked image by masking the regions classified as non-public content regions in the screen image.

公开(公告)号：US11113618B2

公开(公告)日：2021-09-07

申请号：US16419093

申请日：2019-05-22

Applicant: Adobe Inc.

Inventor： Ram Bhushan Agrawal ,  Himanshu Mittal

IPC: G06N7/00 ,  G06F40/177 ,  G06N3/04

Abstract: Techniques are disclosed for detecting the bounds of borderless open tables in fixed-format structured documents, such as PDF documents, and grouping text lines into predicted borderless tables. The target document comprises a set of text lines each having a respective vertical and horizontal position in the target document. A sorted list of the text lines is generated based upon a vertical and horizontal position of each text line in the target document. For each text line in the sorted list, a respective probability that the text line in the sorted list belongs to a borderless table is then determined. According to one embodiment, the probability may be determined using a classifier that may employ a logistic regression algorithm.

公开(公告)号：US10339212B2

公开(公告)日：2019-07-02

申请号：US15675873

申请日：2017-08-14

Applicant: Adobe Inc.

Inventor： Ram Bhushan Agrawal ,  Himanshu Mittal

IPC: G06F17/24 ,  G06F17/22 ,  G06N3/04

Abstract: Techniques are disclosed for detecting the bounds of borderless open tables in fixed-format structured documents, such as PDF documents, and grouping text lines into predicted borderless tables. The target document comprises a set of text lines each having a respective vertical and horizontal position in the target document. A sorted list of the text lines is generated based upon a vertical and horizontal position of each text line in the target document. For each text line in the sorted list, a respective probability that the text line in the sorted list belongs to a borderless table is then determined. According to one embodiment, the probability may be determined using a classifier that may employ a logistic regression algorithm.