Determining location information for images using landmark, caption, and metadata location data
    61.
    发明授权
    Determining location information for images using landmark, caption, and metadata location data 有权
    使用地标,标题和元数据位置数据确定图像的位置信息

    公开(公告)号:US09069794B1

    公开(公告)日:2015-06-30

    申请号:US14052157

    申请日:2013-10-11

    Applicant: Google Inc.

    CPC classification number: G06F17/30256 G06F17/30265 G06K9/46

    Abstract: Methods, systems, and apparatus are provided for determining location information for images. In one aspect, a method includes obtaining landmark location data from content depicted in an image and corresponding confidence scores. Also, the method includes obtaining caption location data from user input and corresponding confidence scores, and obtaining metadata location data from data provided by an image capturing device. Further, the method includes identifying location pairs from the landmark, caption, and metadata location data, and generating, for each location pair, a geographic consistency score. Additionally, the method includes selecting a location pair based on the geographic consistency scores, and selecting an image location for the image from the selected location pair. Moreover, the method includes determining an image location score based on a confidence score for one of the locations in the selected location pair, and associating the image location and image location score with the image.

    Abstract translation: 提供了用于确定图像的位置信息的方法,系统和装置。 一方面,一种方法包括从图像中描绘的内容和相应的置信度得分获得界标位置数据。 此外,该方法包括从用户输入获得字幕位置数据和相应的置信度分数,以及从由图像捕获设备提供的数据获得元数据位置数据。 此外,该方法包括从地标,标题和元数据位置数据识别位置对,并且针对每个位置对,生成地理一致性分数。 另外,该方法包括基于地理一致性分数来选择位置对,以及从所选位置对中选择图像的图像位置。 此外,该方法包括基于所选位置对中的一个位置的置信度分数来确定图像位置分数,以及将图像位置和图像位置分数与图像相关联。

    PRESENTING IMAGE SEARCH RESULTS
    62.
    发明申请
    PRESENTING IMAGE SEARCH RESULTS 有权
    呈现图像搜索结果

    公开(公告)号:US20150169645A1

    公开(公告)日:2015-06-18

    申请号:US13790024

    申请日:2013-03-08

    Applicant: Google Inc.

    Abstract: A system and computer-implemented method is provided for organizing multiple user submitted results responsive to an image query. A plurality of content submissions may be received from a variety of submitting users, each content submission including an image and an associated label. An image query may provide an image of an object as a request to identify the object. In response to receiving the image query, one or more results of the plurality of content submissions may be identified. A similarity between the labels for each of the one or more results may be determined and used to group the one or more results. Grouped results may be ranked and sorted for accurate and concise presentation to a querying user.

    Abstract translation: 提供了系统和计算机实现的方法,用于响应于图像查询来组织多个用户提交的结果。 可以从各种提交用户接收多个内容提交,每个内容提交包括图像和相关联的标签。 图像查询可以将对象的图像提供为识别对象的请求。 响应于接收到图像查询,可以识别多个内容提交中的一个或多个结果。 可以确定一个或多个结果中的每一个的标签之间的相似性,并用于对一个或多个结果进行分组。 分组的结果可能会排序并排序,以便准确和简明的呈现给查询用户。

    SYSTEM AND METHOD OF IDENTIFYING VISUAL OBJECTS
    63.
    发明申请
    SYSTEM AND METHOD OF IDENTIFYING VISUAL OBJECTS 有权
    识别视觉对象的系统和方法

    公开(公告)号:US20150112972A1

    公开(公告)日:2015-04-23

    申请号:US14541437

    申请日:2014-11-14

    Applicant: Google Inc.

    Abstract: A system and method of identifying objects is provided. In one aspect, the system and method includes a hand-held device with a display, camera and processor. As the camera captures images and displays them on the display, the processor compares the information retrieved in connection with one image with information retrieved in connection with subsequent images. The processor uses the result of such comparison to determine the object that is likely to be of greatest interest to the user. The display simultaneously displays the images the images as they are captured, the location of the object in an image, and information retrieved for the object.

    Abstract translation: 提供了一种识别对象的系统和方法。 一方面,该系统和方法包括具有显示器,相机和处理器的手持式设备。 当照相机拍摄图像并将其显示在显示器上时,处理器将与一个图像相关联的检索信息与后续图像相关联的信息进行比较。 处理器使用这种比较的结果来确定可能对用户最感兴趣的对象。 显示器同时显示被捕获的图像的图像,图像中对象的位置以及为该对象检索的信息。

    Method and apparatus to incorporate automatic face recognition in digital image collections
    64.
    发明授权
    Method and apparatus to incorporate automatic face recognition in digital image collections 有权
    在数字图像集合中引入自动人脸识别的方法和装置

    公开(公告)号:US08897508B2

    公开(公告)日:2014-11-25

    申请号:US13717426

    申请日:2012-12-17

    Applicant: Google Inc.

    CPC classification number: G06K9/00288 G06K9/00221

    Abstract: A method and apparatus for creating and updating a facial image database from a collection of digital images is disclosed. A set of detected faces from a digital image collection is stored in a facial image database, along with data pertaining to them. At least one facial recognition template for each face in the first set is computed, and the images in the set are grouped according to the facial recognition template into similarity groups. Another embodiment is a naming tool for assigning names to a plurality of faces detected in a digital image collection. A facial image database stores data pertaining to facial images detected in images of a digital image collection. In addition, the naming tool may include a graphical user interface, a face detection module that detects faces in images of the digital image collection and stores data pertaining to the detected faces in the facial image database, a face recognition module that computes at least one facial recognition template for each facial image in the facial image database, and a similarity grouping module that groups facial images in the facial image database according to the respective templates such that similar facial images belong to one similarity group.

    Abstract translation: 公开了一种用于从数字图像的集合创建和更新面部图像数据库的方法和装置。 来自数字图像集合的一组检测到的面部与其相关的数据一起存储在面部图像数据库中。 计算第一组中每个面部的至少一个面部识别模板,并且将该组中的图像根据面部识别模板分组为相似组。 另一个实施例是用于将名称分配给在数字图像集合中检测到的多个面部的命名工具。 面部图像数据库存储与数字图像集合的图像中检测到的面部图像有关的数据。 此外,命名工具可以包括图形用户界面,面部检测模块,其检测数字图像集合的图像中的面部,并将与检测到的面部有关的数据存储在面部图像数据库中;面部识别模块,其计算至少一个 面部图像数据库中的每个面部图像的面部识别模板,以及相似性分组模块,其根据各个模板对面部图像数据库中的面部图像进行分组,使得相似的面部图像属于一个相似性组。

    Automatic learning of logos for visual recognition
    66.
    发明授权
    Automatic learning of logos for visual recognition 有权
    自动学习视觉识别标志

    公开(公告)号:US08825655B1

    公开(公告)日:2014-09-02

    申请号:US13865396

    申请日:2013-04-18

    Applicant: Google Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automatically extracting logos from images. Methods include generating a query list including a plurality of logo search queries, for each logo search query of the plurality of logo search queries: generating a plurality of image search results, each image search result including image data, and clustering the plurality of image search results into a plurality of clusters, each cluster including a plurality of images of the plurality of image search results, extracting, for each cluster of the plurality of clusters, a representative image to provide a plurality of representative images, and a name corresponding to the representative image to provide a plurality of names, and providing the plurality of representative images and the plurality of names to a logo index, the logo index being accessible to identify one or more logo images in a query image.

    Abstract translation: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于从图像自动提取徽标。 方法包括为多个标识搜索查询的每个标识搜索查询生成包括多个徽标搜索查询的查询列表:生成多个图像搜索结果,每个图像搜索结果包括图像数据,并且对多个图像搜索进行聚类 结果为多个群集,每个群集包括所述多个图像搜索结果的多个图像,针对所述多个群集中的每个群集提取代表图像以提供多个代表图像,以及与所述多个群集对应的名称 代表性图像以提供多个名称,并且将多个代表图像和多个名称提供给标识索引,所述标识索引可被访问以识别查询图像中的一个或多个标志图像。

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