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    • 1. 发明授权
    • Query image search
    • 查询图像搜索
    • US09053115B1
    • 2015-06-09
    • US13592850
    • 2012-08-23
    • Charles J. RosenbergJingbin WangSarah MoussaErik Murphy-ChutorianAndrea FromeYoram SingerRadhika Malpani
    • Charles J. RosenbergJingbin WangSarah MoussaErik Murphy-ChutorianAndrea FromeYoram SingerRadhika Malpani
    • G06F17/30
    • G06F17/301G06F17/30247G06F17/30268
    • Methods, systems and apparatus for identifying result images for a query image. One or more labels that are associated with the query image are obtained. Candidate images matching the query labels are identified. Visual similarity scores are generated for the candidate images. Each visual similarity score represents the visual similarity of a respective candidate image to the query image. Relevance scores are generated for each of the candidate images based on the visual similarity scores. Each relevance score represents a measure of relevance of the respective candidate images to the query image. The candidate images are ranked based on the relevance scores, a highest ranking subset of the candidate images being identified as result images and referenced by image search results. The result images can be candidate images that satisfy a similarity condition relative to the query image and other result images.
    • 用于识别查询图像的结果图像的方法,系统和装置。 获得与查询图像相关联的一个或多个标签。 识别符合查询标签的候选图像。 为候选图像生成视觉相似性分数。 每个视觉相似性分数表示相应候选图像与查询图像的视觉相似度。 基于视觉相似性得分,针对每个候选图像生成相关性分数。 每个相关性分数表示各个候选图像与查询图像的相关度的度量。 候选图像基于相关性分数进行排序,候选图像的最高排名子集被识别为结果图像并且由图像搜索结果引用。 结果图像可以是满足相对于查询图像和其他结果图像的相似性条件的候选图像。
    • 8. 发明授权
    • Identifying establishments in images
    • 识别图像中的场所
    • US08265400B2
    • 2012-09-11
    • US13246812
    • 2011-09-27
    • Tal YadidYuval NetzerShlomo UrbachAndrea FromeNoam Ben-Haim
    • Tal YadidYuval NetzerShlomo UrbachAndrea FromeNoam Ben-Haim
    • G06K9/00
    • G06K9/723G06F17/241G06F17/2705G06F17/30241G06K9/00664G06K2209/01
    • 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.
    • 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。