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公开(公告)号：US20150169640A1
公开(公告)日：2015-06-18
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：US20150169575A1
公开(公告)日：2015-06-18
申请号：US13759631
申请日：2013-02-05
Applicant: Google Inc.
Inventor： Hartwig Adam , Sylvain Gelly , Yuan Li , Taehee Lee
IPC: G06F17/30
CPC classification number: G06F17/30244 , G06F17/30256 , G06F17/30265
Abstract: Methods, systems, and apparatus for scoring images related to entities. In one aspect, a method includes identifying images associated with a person, each image being included in one or more resources; obtaining, for each resource that includes one of the images, a quality score that represents a quality of the resource; for each of the images: generating an image resource quality score from the quality scores of the resources that include the image; identifying a set of similar images from the images, each similar image having a measure of similarity to the image that meets a similarity measure threshold; generating an image score based on image resource quality scores of the resources that include the similar images relative to image resource quality scores of the resources that include each of the images; and generating an image authority score based on the image resource quality score and the image score.
Abstract translation: 用于评分与实体有关的图像的方法，系统和装置。 一方面，一种方法包括识别与人相关联的图像，每个图像被包括在一个或多个资源中; 对于包括所述图像之一的每个资源，获得表示所述资源质量的质量分数; 对于每个图像：从包括图像的资源的质量得分生成图像资源质量得分; 从所述图像识别一组相似的图像，每个相似图像具有与满足相似性测量阈值的图像相似度的度量; 基于包括相似图像的资源的图像资源质量得分相对于包括每个图像的资源的图像资源质量得分来生成图像分数; 以及基于图像资源质量得分和图像得分生成图像授权分数。
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公开(公告)号：US09020247B2
公开(公告)日：2015-04-28
申请号：US13759916
申请日：2013-02-05
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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公开(公告)号：US09020246B2
公开(公告)日：2015-04-28
申请号：US14045207
申请日：2013-10-03
Applicant: Google Inc.
Inventor： Yuan Li , Hartwig Adam
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：US09792732B2
公开(公告)日：2017-10-17
申请号：US14885684
申请日：2015-10-16
Applicant: Google Inc.
Inventor： Leon G. Palm , Hartwig Adam
IPC: G06T19/00 , G06T7/60 , G06K9/00 , G06F3/01 , G06T3/00 , G06T15/20 , A63F13/65 , A63F13/5375 , G06T5/00 , G06K9/52 , G06K9/62 , A63F3/00 , A63F3/02 , A63F3/04 , A63F9/24 , G06K9/46
CPC classification number: G06T19/006 , A63F3/00094 , A63F3/02 , A63F13/5375 , A63F13/65 , A63F2003/0418 , A63F2009/2425 , A63F2009/2435 , A63F2009/2486 , G06F3/011 , G06K9/00442 , G06K9/00671 , G06K9/00771 , G06K9/52 , G06K9/6201 , G06K9/6256 , G06K2009/4666 , G06T3/00 , G06T5/006 , G06T7/60 , G06T15/20 , G06T19/00 , G06T2207/20021
Abstract: Systems and methods for generating an augmented reality interface for generics activities are disclosed. The systems and methods may be directed to creating an augmented reality display for an activity performed on a surface. Given an image of the activity, an activity solver library and associated configuration information for the activity may be selected. The surface of the activity from the image may be rectified, forming a rectified image, from which activity state information may be extracted using the configuration information. The activity state information may be provided to the activity solver library to generate solution information, and elements indicating the solution information may be rendered in a perspective of the original image. By providing the configuration information associated with an activity solver library, an augmented reality interface can be generated for an activity by capturing an image of the activity.
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Patent Agency Ranking
公开(公告)号：US09792304B1
公开(公告)日：2017-10-17
申请号：US14946027
申请日：2015-11-19
Applicant: Google Inc.
Inventor： Ulrich Buddemeier , Gabriel Taubman , Hartwig Adam , Charles J. Rosenberg , Hartmut Neven , David Petrou , Fernando Brucher
IPC: G06F17/30
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.
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公开(公告)号：US09779285B2
公开(公告)日：2017-10-03
申请号：US15287792
申请日：2016-10-07
Applicant: Google Inc.
Inventor： Jonathan McPhie , Hartwig Adam , Dan Fredinburg , Alexei Masterov
IPC: G06K9/00
CPC classification number: G06K9/00241 , G06K9/00288 , G06K9/6254 , G06K9/6255
Abstract: Implementations generally relate to face template balancing. In some implementations, a method includes generating face templates corresponding to respective images. The method also includes matching the images to a user based on the face templates. The method also includes receiving a determination that one or more matched images are mismatched images. The method also includes flagging one or more face templates corresponding to the one or more mismatched images as negative face templates.
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公开(公告)号：US09760803B2
公开(公告)日：2017-09-12
申请号：US14075424
申请日：2013-11-08
Applicant: Google Inc.
Inventor： Matthew Kulick , Hartwig Adam , Taehee Lee , Brian Potetz
CPC classification number: G06K9/6267 , G06F17/30247 , G06F17/3028
Abstract: One or more devices may receive multiple images; determine one or more classifications for each of the multiple images; generate a confidence score for each classification of the one or more classifications for each of the multiple images. The confidence score may include a value between two numbers and may identify the likelihood that that a particular classification, of the one or more classifications, correctly corresponds to a particular image, of the multiple images. The confidence score may be based on information, associated with a user, and pixel-based classification information. The one or more devices may sort the multiple images by the one or more classifications and by corresponding confidence scores to form sorted multiple images; and provide the sorted multiple images.
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公开(公告)号：US20170024415A1
公开(公告)日：2017-01-26
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 , G06F7/08 , G06T7/00 , G06F3/0484 , G06K9/00
CPC classification number: G06F17/30256 , G06F3/04842 , G06F7/08 , G06F17/30241 , G06F17/30253 , G06F17/30265 , G06F17/30268 , G06F17/3028 , G06K9/0063 , G06T7/97
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.
Abstract translation: 在一个实施例中，本发明是一种用于根据地理接近度来填充和更新包括地理聚类地理标记图像的地标图像的数据库的方法，以生成一个或多个地理群集，并且对一个或多个地理位置集群进行视觉聚类， 根据图像相似性来生成一个或多个视觉集群。 在另一个实施例中，本发明是一种用于从数字图像识别地标的系统，包括以下部件：地理标记图像的数据库; 一个地标数据库; 地理群集模块; 和视觉聚类模块。 在其他实施例中，本发明可以是增强用户查询以检索地标图像的方法，或者是利用文本标签自动地标记新的数字图像的方法。
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公开(公告)号：US09280561B2
公开(公告)日：2016-03-08
申请号：US14446519
申请日：2014-07-30
Applicant: Google Inc.
Inventor： Yuan Li , Hartwig Adam
CPC classification number: G06F17/30247 , G06F17/30265 , G06F17/3028 , G06F17/30598 , G06K9/00536 , G06K9/6255 , G06K9/6807 , G06K2209/21
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.
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