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41.
公开(公告)号:US20210272253A1
公开(公告)日:2021-09-02
申请号:US16803332
申请日:2020-02-27
Applicant: Adobe Inc.
Inventor: Zhe Lin , Vipul Dalal , Vera Lychagina , Shabnam Ghadar , Saeid Motiian , Rohith mohan Dodle , Prethebha Chandrasegaran , Mina Doroudi , Midhun Harikumar , Kannan Iyer , Jayant Kumar , Gaurav Kukal , Daniel Miranda , Charles R. McKinney , Archit Kalra
Abstract: The present disclosure relates to an image merging system that automatically and seamlessly detects and merges missing people for a set of digital images into a composite group photo. For instance, the image merging system utilizes a number of models and operations to automatically analyze multiple digital images to identify a missing person from a base image, segment the missing person from the second image, and generate a composite group photo by merging the segmented image of the missing person into the base image. In this manner, the image merging system automatically creates merged group photos that appear natural and realistic.
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公开(公告)号:US20210248177A1
公开(公告)日:2021-08-12
申请号:US16785410
申请日:2020-02-07
Applicant: Adobe Inc.
Inventor: Pramod Srinivasan , Zhe Lin , Samarth Gulati , Saeid Motiian , Midhun Harikumar , Baldo Antonio Faieta , Alex C. Filipkowski
IPC: G06F16/532 , G06F40/30 , G06F16/51 , G06F16/583 , G06F16/538 , G06F16/54
Abstract: Keyword localization digital image search techniques are described. These techniques support an ability to indicate “where” a corresponding keyword is to be expressed with respect to a layout in a respective digital image resulting from a search query. The search query may also include an indication of a size of the keyword as expressed in the digital image, a number of instances of the keyword, and so forth. Additionally, the techniques and systems as described herein support real time search through use of keyword signatures.
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公开(公告)号:US20210217215A1
公开(公告)日:2021-07-15
申请号:US16738359
申请日:2020-01-09
Applicant: Adobe Inc.
Inventor: Kate Sousa , Zhe Lin , Saeid Motiian , Pramod Srinivasan , Baldo Faieta , Alex Filipkowski
Abstract: Based on a received digital image and text, a neural network trained to identify candidate text placement areas within images may be used to generate a mask for the digital image that includes a candidate text placement area. A bounding box for the digital image may be defined for the text and based on the candidate text placement area, and the text may be superimposed onto the digital image within the bounding box.
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