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    • 19. 发明申请
    • Facial Recognition With Social Network Aiding
    • 面部识别与社会网络协助
    • US20140172881A1
    • 2014-06-19
    • US14185392
    • 2014-02-20
    • Google Inc.
    • David PetrouAndrew RabinovichHartwig Adam
    • G06F17/30
    • G06F17/30268G06F17/30256G06F17/30277G06F17/3053G06F17/30867G06K9/00288G06K9/00677
    • A facial recognition search system identifies one or more likely names (or other personal identifiers) corresponding to the facial image(s) in a query as follows. After receiving the visual query with one or more facial images, the system identifies images that potentially match the respective facial image in accordance with visual similarity criteria. Then one or more persons associated with the potential images are identified. For each identified person, person-specific data comprising metrics of social connectivity to the requester are retrieved from a plurality of applications such as communications applications, social networking applications, calendar applications, and collaborative applications. An ordered list of persons is then generated by ranking the identified persons in accordance with at least metrics of visual similarity between the respective facial image and the potential image matches and with the social connection metrics. Finally, at least one person identifier from the list is sent to the requester.
    • 面部识别搜索系统如下所述识别与查询中的面部图像相对应的一个或多个可能的名称(或其他个人标识符)。 在接收到具有一个或多个面部图像的视觉查询之后,系统根据视觉相似性标准识别潜在地匹配相应面部图像的图像。 然后识别与潜在图像相关联的一个或多个人。 对于每个已识别的人,从诸如通信应用,社交网络应用,日历应用和协作应用的多个应用中检索包括对请求者的社交连接性度量的个人特定数据。 然后通过根据相应的面部图像和潜在图像匹配之间的视觉相似性的度量以及与社会连接度量进行评估来对所识别的人进行排序来生成人的有序列表。 最后,从列表中至少有一个人标识符被发送到请求者。
    • 20. 发明申请
    • Architecture for Responding to Visual Query
    • 响应视觉查询的体系结构
    • US20140164406A1
    • 2014-06-12
    • US14183001
    • 2014-02-18
    • GOOGLE INC.
    • David Petrou
    • G06F17/30
    • A visual query such as a photograph, a screen shot, a scanned image, a video frame, or an image created by a content authoring application is submitted to a visual query search system. The search system processes the visual query by sending it to a plurality of parallel search systems, each implementing a distinct visual query search process. These parallel search systems may include but are not limited to optical character recognition (OCR), facial recognition, product recognition, bar code recognition, object-or-object-category recognition, named entity recognition, and color recognition. Then at least one search result is sent to the client system. In some embodiments, when the visual query is an image containing a text element and a non-text element, at least one search result includes an optical character recognition result for the text element and at least one image-match result for the non-text element.
    • 诸如照片,屏幕截图,扫描图像,视频帧或由内容创作应用创建的图像的视觉查询被提交到视觉查询搜索系统。 搜索系统通过将视觉查询发送到多个并行搜索系统来处理视觉查询,每个并行搜索系统实现不同的可视查询搜索过程。 这些并行搜索系统可以包括但不限于光学字符识别(OCR),面部识别,产品识别,条形码识别,对象或对象类别识别,命名实体识别和颜色识别。 然后至少一个搜索结果发送到客户端系统。 在一些实施例中,当视觉查询是包含文本元素和非文本元素的图像时,至少一个搜索结果包括文本元素的光学字符识别结果和非文本元素的至少一个图像匹配结果 元件。