公开(公告)号：US08811656B2

公开(公告)日：2014-08-19

申请号：US14019670

申请日：2013-09-06

Applicant: Google Inc.

Inventor： Shlomo Urbach ,  Tal Yadid ,  Yuval Netzer ,  Andrea Frome ,  Noam Ben-Haim

IPC: G06K9/00

CPC classification number: G06K9/723 ,  G06F17/241 ,  G06F17/2705 ,  G06F17/30241 ,  G06K9/00664 ,  G06K2209/01

Abstract: Establishments are identified in geo-tagged images. According to one aspect, text regions are located in a geo-tagged image and text strings in the text regions are recognized using Optical Character Recognition (OCR) techniques. Text phrases are extracted from information associated with establishments known to be near the geographic location specified in the geo-tag of the image. The text strings recognized in the image are compared with the phrases for the establishments for approximate matches, and an establishment is selected as the establishment in the image based on the approximate matches. According to another aspect, text strings recognized in a collection of geo-tagged images are compared with phrases for establishments in the geographic area identified by the geo-tags to generate scores for image-establishment pairs. Establishments in each of the large collection of images as well as representative images showing each establishment are identified using the scores.

Abstract translation: 在地理标签图像中标识企业。 根据一个方面，文本区域位于地理标记的图像中，并且使用光学字符识别（OCR）技术识别文本区域中的文本串。 从与已知在图像的地理标签中指定的地理位置附近的企业相关联的信息中提取文本短语。 将图像中识别的文本字符串与用于近似匹配的场所的短语进行比较，并且基于近似匹配来选择企业作为图像中的建立。 根据另一方面，将在地理标签图像的集合中识别的文本字符串与由地理标签识别的地理区域中的企业的短语进行比较，以生成图像建立对的分数。 使用分数来确定每个大图像集合中的各个场所以及显示每个机构的代表性图像。

公开(公告)号：US20140003650A1

公开(公告)日：2014-01-02

申请号：US14019670

申请日：2013-09-06

Applicant: Google Inc.

Inventor： Shlomo Urbach ,  Tal Yadid ,  Yuval Netzer ,  Andrea Frome ,  Noam Ben-Haim

IPC: G06K9/72 ,  G06K9/00

CPC classification number: G06K9/723 ,  G06F17/241 ,  G06F17/2705 ,  G06F17/30241 ,  G06K9/00664 ,  G06K2209/01

Abstract: Establishments are identified in geo-tagged images. According to one aspect, text regions are located in a geo-tagged image and text strings in the text regions are recognized using Optical Character Recognition (OCR) techniques. Text phrases are extracted from information associated with establishments known to be near the geographic location specified in the geo-tag of the image. The text strings recognized in the image are compared with the phrases for the establishments for approximate matches, and an establishment is selected as the establishment in the image based on the approximate matches. According to another aspect, text strings recognized in a collection of geo-tagged images are compared with phrases for establishments in the geographic area identified by the geo-tags to generate scores for image-establishment pairs. Establishments in each of the large collection of images as well as representative images showing each establishment are identified using the scores.

Abstract translation: 在地理标签图像中标识企业。 根据一个方面，文本区域位于地理标记的图像中，并且使用光学字符识别（OCR）技术识别文本区域中的文本串。 从与已知在图像的地理标签中指定的地理位置附近的企业相关联的信息中提取文本短语。 将图像中识别的文本字符串与用于近似匹配的场所的短语进行比较，并且基于近似匹配来选择企业作为图像中的建立。 根据另一方面，将在地理标签图像的集合中识别的文本字符串与由地理标签识别的地理区域中的企业的短语进行比较，以生成图像建立对的分数。 使用分数来确定每个大图像集合中的各个场所以及显示每个机构的代表性图像。