Invention Grant
- Patent Title: Digital content layout encoding for search
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Application No.: US17735748Application Date: 2022-05-03
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Publication No.: US12105767B2Publication Date: 2024-10-01
- Inventor: Zhaowen Wang , Yue Bai , John Philip Collomosse
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Main IPC: G06F16/9537
- IPC: G06F16/9537 ; G06F40/103 ; G06F40/30 ; G06V30/19 ; G06K15/02 ; G06N3/08 ; G06N20/00 ; G06V10/82 ; G06V30/412 ; G06V30/414

Abstract:
Digital content layout encoding techniques for search are described. In these techniques, a layout representation is generated (using machine learning automatically and without user intervention) that describes a layout of elements included within the digital content. In an implementation, the layout representation includes a description of both spatial and structural aspects of the elements in relation to each other. To do so, a two-pathway pipeline that is configured to model layout from both spatial and structural aspects using a spatial pathway, and a structural pathway, respectively. In one example, this is also performed through use of multi-level encoding and fusion to generate a layout representation.
Public/Granted literature
- US20230359682A1 Digital Content Layout Encoding for Search Public/Granted day:2023-11-09
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