- 专利标题: Iteratively applying neural networks to automatically identify pixels of salient objects portrayed in digital images
-
申请号: US15967928申请日: 2018-05-01
-
公开(公告)号: US11244195B2公开(公告)日: 2022-02-08
- 发明人: I-Ming Pao , Zhe Lin , Sarah Stuckey , Jianming Zhang , Betty Leong
- 申请人: Adobe Inc.
- 申请人地址: US CA San Jose
- 专利权人: Adobe Inc.
- 当前专利权人: Adobe Inc.
- 当前专利权人地址: US CA San Jose
- 代理机构: Keller Jolley Preece
- 主分类号: G06K9/46
- IPC分类号: G06K9/46 ; G06K9/62 ; G06T3/40
摘要:
The present disclosure relates to systems, method, and computer readable media that iteratively apply a neural network to a digital image at a reduced resolution to automatically identify pixels of salient objects portrayed within the digital image. For example, the disclosed systems can generate a reduced-resolution digital image from an input digital image and apply a neural network to identify a region corresponding to a salient object. The disclosed systems can then iteratively apply the neural network to additional reduced-resolution digital images (based on the identified region) to generate one or more reduced-resolution segmentation maps that roughly indicate pixels of the salient object. In addition, the systems described herein can perform post-processing based on the reduced-resolution segmentation map(s) and the input digital image to accurately determine pixels that correspond to the salient object.
公开/授权文献
信息查询