发明申请
US20130182946A1 METHODS AND SYSTEM FOR ANALYZING AND RATING IMAGES FOR PERSONALIZATION
有权
用于分析和评估个性化图像的方法和系统
- 专利标题: METHODS AND SYSTEM FOR ANALYZING AND RATING IMAGES FOR PERSONALIZATION
- 专利标题(中): 用于分析和评估个性化图像的方法和系统
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申请号: US13349751申请日: 2012-01-13
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公开(公告)号: US20130182946A1公开(公告)日: 2013-07-18
- 发明人: Raja Bala , Zhigang Fan , Hengzhou Ding , Jan P. Allebach , Charles A. Bouman , Reuven J. Sherwin
- 申请人: Raja Bala , Zhigang Fan , Hengzhou Ding , Jan P. Allebach , Charles A. Bouman , Reuven J. Sherwin
- 申请人地址: US CT Norwalk
- 专利权人: XEROX CORPORATION
- 当前专利权人: XEROX CORPORATION
- 当前专利权人地址: US CT Norwalk
- 主分类号: G06K9/46
- IPC分类号: G06K9/46 ; G06K9/62
摘要:
As set forth herein, a computer-implemented method facilitates pre-analyzing an image and automatically suggesting to the user the most suitable regions within an image for text-based personalization. Image regions that are spatially smooth and regions with existing text (e.g. signage, banners, etc.) are primary candidates for personalization. This gives rise to two sets of corresponding algorithms: one for identifying smooth areas, and one for locating text regions. Smooth regions are found by dividing the image into blocks and applying an iterative combining strategy, and those regions satisfying certain spatial properties (e.g. size, position, shape of the boundary) are retained as promising candidates. In one embodiment, connected component analysis is performed on the image for locating text regions. Finally, based on the smooth and text regions found in the image, several alternative approaches are described herein to derive an overall metric for “suitability for personalization.”