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公开(公告)号：US20140112576A1
公开(公告)日：2014-04-24
申请号：US14145279
申请日：2013-12-31
Applicant: Google Inc.
Inventor： Yuan Li , Hartwig Adam
IPC: G06K9/62
CPC classification number: G06K9/6256 , G06K9/00624 , G06K9/00718 , G06K9/6201
Abstract: Systems and methods for modeling the occurrence of common image components (e.g., sub-regions) in order to improve visual object recognition are disclosed. In one example, a query image may be matched to a training image of an object. A matched region within the training image to which the query image matches may be determined and a determination may be made whether the matched region is located within an annotated image component of the training image. When the matched region matches only to the image component, an annotation associated with the component may be identified. In another example, sub-regions within a plurality of training image corpora may be annotated as common image components including associated information (e.g., metadata). Matching sub-regions appearing in many training images of objects may be down-weighted in the matching process to reduce possible false matches to query images including common image components.
Abstract translation: 公开了用于对共同图像分量（例如，子区域）的发生进行建模以便改进视觉对象识别的系统和方法。 在一个示例中，查询图像可以与对象的训练图像匹配。 可以确定训练图像中与查询图像匹配的匹配区域，并且可以确定匹配区域是否位于训练图像的注释图像分量内。 当匹配区域仅与图像分量匹配时，可以识别与该组件相关联的注释。 在另一示例中，多个训练图像语料库中的子区域可以被注释为包括关联信息（例如，元数据）的公共图像分量。 出现在对象的许多训练图像中的匹配子区域可以在匹配处理中被加权，以减少对包括公共图像分量的查询图像的可能的假匹配。
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公开(公告)号：US20140086481A1
公开(公告)日：2014-03-27
申请号：US14045207
申请日：2013-10-03
Applicant: Google Inc.
Inventor： Yuan Li , Hartwig Adam
IPC: G06K9/66
CPC classification number: G06K9/66 , G06K9/6256
Abstract: Systems and methods for improving visual object recognition by analyzing query images are disclosed. In one example, a visual object recognition module may determine query images matching objects of a training corpus utilized by the module. Matched query images may be added to the training corpus as training images of a matched object to expand the recognition of the object by the module. In another example, relevant candidate image corpora from a pool of image data may be automatically selected by matching the candidate image corpora against user query images. Selected image corpora may be added to a training corpus to improve recognition coverage. In yet another example, objects unknown to a visual object recognition module may be discovered by clustering query images. Clusters of similar query images may be annotated and added into a training corpus to improve recognition coverage.
Abstract translation: 公开了通过分析查询图像来改善视觉对象识别的系统和方法。 在一个示例中，视觉对象识别模块可以确定与模块使用的训练语料库匹配对象的查询图像。 可将匹配的查询图像作为匹配对象的训练图像添加到训练语料库，以扩展该模块对对象的识别。 在另一示例中，可以通过将候选图像语料库与用户查询图像进行匹配来自动选择来自图像数据池的相关候选图像语料库。 可以将选定的图像语料库添加到训练语料库中以改善识别覆盖。 在又一示例中，可视物体识别模块未知的对象可以通过聚类查询图像来发现。 类似查询图像的群集可以被注释并添加到训练语料库中以改善识别覆盖。
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公开(公告)号：US08661053B2
公开(公告)日：2014-02-25
申请号：US13674483
申请日：2012-11-12
Applicant: Google Inc.
Inventor： John Flynn , Dragomir Anguelov , Hartmut Neven , Mark Cummins , James Philbin , Rafael Spring , Hartwig Adam , Anand Pillai
IPC: G06F17/30
CPC classification number: G06F17/30268 , G06F17/30247 , G06F17/3028
Abstract: A method and apparatus for enabling virtual tags is described. The method may include receiving a first digital image data and virtual tag data to be associated with a real-world object in the first digital image data, wherein the first digital image data is captured by a first mobile device, and the virtual tag data includes metadata received from a user of the first mobile device. The method may also include generating a first digital signature from the first digital image data that describes the real-world object, and in response to the generation, inserting in substantially real-time the first digital signature into a searchable index of digital images. The method may also include storing, in a tag database, the virtual tag data and an association between the virtual tag data and the first digital signature inserted into the index of digital images.
Abstract translation: 描述了一种用于启用虚拟标签的方法和装置。 该方法可以包括在第一数字图像数据中接收与真实世界对象相关联的第一数字图像数据和虚拟标签数据，其中第一数字图像数据由第一移动设备捕获，并且虚拟标签数据包括 从第一移动设备的用户接收的元数据。 该方法还可以包括从描述真实世界对象的第一数字图像数据生成第一数字签名，并且响应于生成，基本上实时地将第一数字签名插入到可搜索的数字图像索引中。 该方法还可以包括在标签数据库中存储虚拟标签数据以及虚拟标签数据与插入数字图像索引中的第一数字签名之间的关联。
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54.发明申请公开(公告)号：US20140029798A1
公开(公告)日：2014-01-30
申请号：US14037681
申请日：2013-09-26
Applicant: Google Inc.
Inventor： John Flynn , Ulrich Buddemeier , Henrik C. Stewenius , Hartmut Neven , Fernando Brucher , Hartwig Adam
IPC: G06K9/00
CPC classification number: G06K9/00671 , G06F17/30241 , G06F17/30247 , G06K9/00704
Abstract: Aspects of the invention pertain to matching a selected image/photograph against a database of reference images having location information. The image of interest may include some location information itself, such as latitude/longitude coordinates and orientation. However, the location information provided by a user's device may be inaccurate or incomplete. The image of interest is provided to a front end server, which selects one or more cells to match the image against. Each cell may have multiple images and an index. One or more cell match servers compare the image against specific cells based on information provided by the front end server. An index storage server maintains index data for the cells and provides them to the cell match servers. If a match is found, the front end server identifies the correct location and orientation of the received image, and may correct errors in an estimated location of the user device.
Abstract translation: 本发明的方面涉及将选定的图像/照片与具有位置信息的参考图像的数据库进行匹配。 感兴趣的图像可以包括一些位置信息本身，例如纬度/经度坐标和方向。 然而，用户设备提供的位置信息可能不准确或不完整。 感兴趣的图像被提供给前端服务器，前端服务器选择一个或多个单元以匹配图像。 每个单元可以具有多个图像和索引。 一个或多个单元匹配服务器根据前端服务器提供的信息将图像与特定单元进行比较。 索引存储服务器维护单元的索引数据，并将它们提供给单元匹配服务器。 如果找到匹配，则前端服务器识别接收到的图像的正确位置和方向，并且可以校正用户设备的估计位置中的错误。
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公开(公告)号：US10289643B2
公开(公告)日：2019-05-14
申请号：US15284075
申请日：2016-10-03
Applicant: Google Inc.
Inventor： Fernando A. Brucher , Ulrich Buddemeier , Hartwig Adam , Hartmut Neven
IPC: G06F17/30 , G06F16/583 , G06F16/29 , G06F16/51 , G06F16/58 , G06F3/0484 , G06K9/00 , G06T7/00 , G06F7/08
Abstract: In one embodiment the present invention is a method for populating and updating a database of images of landmarks including geo-clustering geo-tagged images according to geographic proximity to generate one or more geo-clusters, and visual-clustering the one or more geo-clusters according to image similarity to generate one or more visual clusters. In another embodiment, the present invention is a system for identifying landmarks from digital images, including the following components: a database of geo-tagged images; a landmark database; a geo-clustering module; and a visual clustering module. In other embodiments the present invention may be a method of enhancing user queries to retrieve images of landmarks, or a method of automatically tagging a new digital image with text labels.
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Patent Agency Ranking
公开(公告)号：US09600724B2
公开(公告)日：2017-03-21
申请号：US14618962
申请日：2015-02-10
Applicant: GOOGLE INC.
Inventor： Teresa Ko , Hartwig Adam , Mikkel Crone Koser , Alexei Masterov , Andrews-Junior Kimbembe , Matthew J. Bridges , Paul Chang , David Petrou , Adam Berenzweig
CPC classification number: H04N5/23293 , G06F3/04817 , G06F3/04842 , G06F3/1431 , G06F3/1438 , G06K9/00671 , G06K9/00677 , G06K9/78 , G09G5/363 , G09G2360/08 , H04N5/23216
Abstract: Implementations of the present disclosure include actions of receiving image data, the image data being provided from a camera and corresponding to a scene viewed by the camera, receiving one or more annotations, the one or more annotations being provided based on one or more entities determined from the scene, each annotation being associated with at least one entity, determining one or more actions based on the one or more annotations, and providing instructions to display an action interface including one or more action elements, each action element being selectable to induce execution of a respective action, the action interface being displayed in a viewfinder.
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公开(公告)号：US09460348B1
公开(公告)日：2016-10-04
申请号：US14721573
申请日：2015-05-26
Applicant: Google Inc.
Inventor： Hartwig Adam , Jignashu Parikh
CPC classification number: G06K9/00677
Abstract: Methods and apparatus are disclosed for identifying a photo that lacks location metadata indicating where the photo was captured and determining a photo location to associate with the photo. In some implementations, a photo associated with a user is identified that includes metadata indicating a date and/or time it was captured, but lacks location data indicating where the photo was captured. In some versions of those implementations, a relationship of the metadata of the photo to at least one of a location date and a location time associated with a visit location of the user is determined. A photo location may be determined based on the visit location and associated with the photo. In some implementations, the visit location of the user may be determined independent of any location sensor.
Abstract translation: 公开了用于识别缺少位置元数据的照片的方法和装置，该位置元数据指示拍摄照片的位置并确定与照片相关联的照片位置。 在一些实现中，识别与用户相关联的照片，其包括指示捕获的日期和/或时间的元数据，但是缺少指示拍摄照片的位置数据。 在这些实现的一些版本中，确定照片的元数据与与用户的访问位置相关联的位置日期和位置时间中的至少一个的关系。 可以基于访问位置并与照片相关联地确定照片位置。 在一些实现中，可以独立于任何位置传感器来确定用户的访问位置。
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公开(公告)号：US09442950B2
公开(公告)日：2016-09-13
申请号：US14526612
申请日：2014-10-29
Applicant: Google Inc.
Inventor： James William Philbin , Anand Pillai , John Flynn , Hartwig Adam
IPC: G06F17/30
CPC classification number: G06F17/30153 , G06F17/30247 , G06F17/30256 , G06F17/30864
Abstract: Systems and methods for a dynamic visual search engine are provided. In one example method, a criteria used to partition a set of compressed image descriptors into multiple database shards may be determined. Additionally, a size of a dynamic index may be determined. The dynamic index may represent a dynamic number of images and may be configured to accept insertion of reference images into the dynamic index that can be search against immediately. According to the method, an instruction to merge the uncompressed image descriptors of the dynamic index into the database shards of the compressed image descriptors may be received, and the uncompressed image descriptors of the dynamic index may be responsively merged into the database shards of the compressed image descriptors based on the criteria.
Abstract translation: 提供了动态视觉搜索引擎的系统和方法。 在一个示例性方法中，可以确定用于将一组压缩图像描述符分割成多个数据库分片的标准。 另外，可以确定动态索引的大小。 动态索引可以表示动态数量的图像，并且可以被配置为接受将参考图像插入到可以立即搜索的动态索引中。 根据该方法，可以接收将动态索引的未压缩图像描述符合并到压缩图像描述符的数据库碎片中的指令，并且动态索引的未压缩图像描述符可以被响应地合并到压缩的图像描述符的数据库碎片中 基于标准的图像描述符。
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公开(公告)号：US09201903B2
公开(公告)日：2015-12-01
申请号：US14301154
申请日：2014-06-10
Applicant: Google Inc.
Inventor： Ulrich Buddemeier , Gabriel Taubman , Hartwig Adam , Charles J. Rosenberg , Hartmut Neven , David Petrou , Fernando Brucher
CPC classification number: G06F17/30277 , G06F17/30256 , G06F17/30268 , G06F17/3053 , G06F17/30554 , G06K9/6215 , G06K9/6282 , G06K9/723 , G06K2209/01
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing queries made up of images. In one aspect, a method includes indexing images by image descriptors. The method further includes associating descriptive n-grams with the images. In another aspect, a method includes receiving a query, identifying text describing the query, and performing a search according to the text identified for the query.
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，用于处理由图像组成的查询。 一方面，一种方法包括通过图像描述符索引图像。 该方法还包括将描述性n-gram与图像相关联。 在另一方面，一种方法包括接收查询，识别描述查询的文本，以及根据为查询标识的文本执行搜索。
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公开(公告)号：US20150213329A1
公开(公告)日：2015-07-30
申请号：US14683643
申请日：2015-04-10
Applicant: Google Inc.
Inventor： Hartwig Adam , Li Zhang
CPC classification number: G06K9/6217 , G06F17/30244 , G06F17/30247 , G06F17/30265 , G06K9/00624 , G06K9/00664 , G06K9/46 , G06K9/726
Abstract: Methods and systems for automatic detection of landmarks in digital images and annotation of those images are disclosed. A method for detecting and annotating landmarks in digital images includes the steps of automatically assigning a tag descriptive of a landmark to one or more images in a plurality of text-associated digital images to generate a set of landmark-tagged images, learning an appearance model for the landmark from the set of landmark-tagged images, and detecting the landmark in a new digital image using the appearance model. The method can also include a step of annotating the new image with the tag descriptive of the landmark.
Abstract translation: 公开了用于自动检测数字图像中的地标的方法和系统以及那些图像的注释。 一种用于检测和注释数字图像中的地标的方法包括以下步骤：将描述地标的标签自动分配给多个文本相关联的数字图像中的一个或多个图像，以生成一组具有地标标签的图像，学习外观模型 用于从一组具有地标标签的图像中的地标，并使用外观模型检测新数字图像中的地标。 该方法还可以包括用描述地标的标签注释新图像的步骤。
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