Invention Grant
US09594977B2 Automatically selecting example stylized images for image stylization operations based on semantic content
有权
自动选择基于语义内容的图像样式化操作的示例风格化图像
- Patent Title: Automatically selecting example stylized images for image stylization operations based on semantic content
- Patent Title (中): 自动选择基于语义内容的图像样式化操作的示例风格化图像
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Application No.: US14735822Application Date: 2015-06-10
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Publication No.: US09594977B2Publication Date: 2017-03-14
- Inventor: Zhe Lin , Xiaohui Shen , Kalyan Sunkavalli , Joon-Young Lee
- Applicant: Adobe Systems Incorporated
- Applicant Address: US CA San Jose
- Assignee: Adobe Systems Incorporated
- Current Assignee: Adobe Systems Incorporated
- Current Assignee Address: US CA San Jose
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G09G5/00 ; G06K9/46 ; G06T7/40 ; G06K9/52 ; G06T7/60

Abstract:
Systems and methods are provided for content-based selection of style examples used in image stylization operations. For example, training images can be used to identify example stylized images that will generate high-quality stylized images when stylizing input images having certain types of semantic content. In one example, a processing device determines which example stylized images are more suitable for use with certain types of semantic content represented by training images. In response to receiving or otherwise accessing an input image, the processing device analyzes the semantic content of the input image, matches the input image to at least one training image with similar semantic content, and selects at least one example stylized image that has been previously matched to one or more training images having that type of semantic content. The processing device modifies color or contrast information for the input image using the selected example stylized image.
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