IMAGE RETRIEVAL USING DISCRIMINATIVE VISUAL FEATURES
    31.
    发明申请
    IMAGE RETRIEVAL USING DISCRIMINATIVE VISUAL FEATURES 有权
    使用分辨率视觉特征的图像检索

    公开(公告)号:US20120177294A1

    公开(公告)日:2012-07-12

    申请号:US12987167

    申请日:2011-01-10

    IPC分类号: G06K9/48 G06K9/52 G06K9/46

    CPC分类号: G06F17/30256 G06F17/30277

    摘要: Image search results are obtained by providing weights to visual features to emphasize features corresponding to objects of interest while simultaneously deemphasizing irrelevant or inconsistent features that lead to poor search results. In order to minimize the impact of visual features that are unreliable or irrelevant with respect to the objects of interest in the image, context-dependent weights are provided to detect visual features such that those visual features pertaining to the objects of interest are more heavily weighted than those visual features that pertain to irrelevant or unreliable portions of the image. Visual features may be weighted for images in a searchable database. Training data may be obtained and used in weighting visual features in a query image and, alternatively, in searchable database images.

    摘要翻译: 通过为视觉特征提供权重来获得图像搜索结果,以强调与感兴趣对象相对应的特征,同时强调导致不良搜索结果的不相关或不一致的特征。 为了最小化相对于图像中感兴趣的对象不可靠或不相关的视觉特征的影响,提供上下文相关权重以检测视觉特征,使得与感兴趣对象相关的那些视觉特征被更加重地加权 比那些与图像无关或不可靠部分有关的视觉特征。 视觉特征可以对可搜索数据库中的图像进行加权。 训练数据可以获得并用于加权查询图像中的视觉特征,或者在可搜索的数据库图像中。

    Graph based bot-user detection
    32.
    发明授权
    Graph based bot-user detection 有权
    基于图形的bot用户检测

    公开(公告)号:US08069210B2

    公开(公告)日:2011-11-29

    申请号:US12249732

    申请日:2008-10-10

    IPC分类号: G06F15/16

    摘要: Computer implemented methods are disclosed for detecting bot-user groups that send spam email over a web-based email service. Embodiments of the present system employ a two-prong approach to detecting bot-user groups. The first prong employs a historical-based approach for detecting anomalous changes in user account information, such as aggressive bot-user signups. The second prong of the present system entails constructing a large user-user relationship graph, which identifies bot-user sub-graphs through finding tightly connected subgraph components.

    摘要翻译: 公开了用于检测通过基于网络的电子邮件服务发送垃圾邮件的机器人用户组的计算机实现的方法。 本系统的实施例采用双管齐下方法来检测机器人用户组。 第一个分支采用基于历史的方法来检测用户帐户信息的异常变化,例如侵略性的漫游器用户注册。 本系统的第二个分支需要构建一个大的用户关系图,通过查找紧密连接的子图组件来识别机器人用户子图。

    Search Result Enhancement Through Image Duplicate Detection
    33.
    发明申请
    Search Result Enhancement Through Image Duplicate Detection 审中-公开
    通过图像重复检测搜索结果增强

    公开(公告)号:US20110106798A1

    公开(公告)日:2011-05-05

    申请号:US12913430

    申请日:2010-10-27

    申请人: Yi Li Lei Zhang Qifa Ke

    发明人: Yi Li Lei Zhang Qifa Ke

    IPC分类号: G06F17/30

    CPC分类号: G06F16/58 G06F16/951

    摘要: Systems, methods, and computer media for enhancing user search query results are provided. Upon receiving a user search query, relevant images are identified. Duplicate image information for the relevant images is accessed in an index. The index includes information extracted from individual images or duplicates and information aggregated according to groups comprised of images and duplicates of the images. The images identified as relevant to the user query are ranked based at least in part on the information accessed in the index.

    摘要翻译: 提供了用于增强用户搜索查询结果的系统,方法和计算机媒体。 在接收到用户搜索查询后,识别相关图像。 在索引中访问相关图像的重复图像信息。 该索引包括从各个图像提供的信息或重复的信息,以及根据由图像组成的组和图像的副本聚合的信息。 至少部分地基于索引中访问的信息对与用户查询相关的识别的图像进行排名。

    User interface for three-dimensional navigation
    34.
    发明申请
    User interface for three-dimensional navigation 有权
    三维导航用户界面

    公开(公告)号:US20090019402A1

    公开(公告)日:2009-01-15

    申请号:US11827530

    申请日:2007-07-11

    IPC分类号: G06F3/048

    摘要: The present invention uses invisible junctions which are a set of local features unique to every page of the electronic document to match the captured image to a part of an electronic document. The present invention includes: an image capture device, a feature extraction and recognition system and database. When an electronic document is printed, the feature extraction and recognition system captures an image of the document page. The features in the captured image are then extracted, indexed and stored in the database. Given a query image, usually a small patch of some document page captured by a low resolution image capture device, the features in the query image are extracted and compared against those stored in the database to identify the query image. The present invention also includes methods for recognizing and tracking the viewing region and look at point corresponding to the input query image. This information is combined with a rendering of the original input document to generate a new graphical user interface to the user. This user interface can be displayed on a conventional browser or even on the display of an image capture device.

    摘要翻译: 本发明使用作为电子文档的每一页特有的一组局部特征的不可见结,以将捕获的图像与电子文档的一部分相匹配。 本发明包括:图像捕获装置,特征提取和识别系统和数据库。 当打印电子文档时,特征提取和识别系统捕获文档页面的图像。 然后将捕获的图像中的特征提取,索引并存储在数据库中。 给定查询图像,通常是由低分辨率图像捕获设备捕获的一些文档页面的小补丁,提取查询图像中的特征并将其与存储在数据库中的特征进行比较以识别查询图像。 本发明还包括用于识别和跟踪观看区域并查看与输入查询图像相对应的点的方法。 该信息与原始输入文档的呈现相结合,以向用户生成新的图形用户界面。 该用户界面可以显示在常规浏览器上,甚至可以在图像捕获设备的显示器上显示。

    Invisible Junction Feature Recognition For Document Security or Annotation
    35.
    发明申请
    Invisible Junction Feature Recognition For Document Security or Annotation 有权
    用于文档安全或注释的隐形连接特征识别

    公开(公告)号:US20090016615A1

    公开(公告)日:2009-01-15

    申请号:US12059583

    申请日:2008-03-31

    IPC分类号: G06K9/64

    CPC分类号: G06K9/00449 G06K9/00463

    摘要: The present invention uses invisible junctions which are a set of local features unique to every page of the electronic document to match the captured image to a part of an electronic document. The present invention includes: an image capture device, a feature extraction and recognition system and database. When an electronic document is printed, the feature extraction and recognition system captures an image of the document page. The features in the captured image are then extracted, indexed and stored in the database. Given a query image, the features in the query image are extracted and compared against those stored in the database to identify the query image. The feature extraction and recognition system of the present invention is integrated into a multifunction peripheral. This allows the feature extraction and recognition system to be used in conjunction with other modules to provide security and annotation applications.

    摘要翻译: 本发明使用作为电子文档的每一页特有的一组局部特征的不可见结,以将捕获的图像与电子文档的一部分相匹配。 本发明包括:图像捕获装置,特征提取和识别系统和数据库。 当打印电子文档时,特征提取和识别系统捕获文档页面的图像。 然后将捕获的图像中的特征提取,索引并存储在数据库中。 给定查询图像,提取查询图像中的特征并将其与存储在数据库中的特征进行比较,以识别查询图像。 本发明的特征提取和识别系统被集成到多功能外围设备中。 这允许特征提取和识别系统与其他模块结合使用以提供安全性和注释应用。

    Information Retrieval Using Invisible Junctions and Geometric Constraints
    36.
    发明申请
    Information Retrieval Using Invisible Junctions and Geometric Constraints 有权
    信息检索使用隐形连接和几何约束

    公开(公告)号:US20090016564A1

    公开(公告)日:2009-01-15

    申请号:US11776520

    申请日:2007-07-11

    IPC分类号: G06K9/00

    摘要: The present invention uses invisible junctions which are a set of local features unique to every page of the electronic document to match the captured image to a part of an electronic document. The present invention includes: an image capture device, a feature extraction and recognition system and database. When an electronic document is printed, the feature extraction and recognition system captures an image of the document page. The features in the captured image are then extracted, indexed and stored in the database. Given a query image, usually a small patch of some document page captured by a low resolution image capture device, the features in the query image are extracted and compared against those stored in the database to identify the query image. The present invention advantageously uses geometric estimation to reduce the query results to a single one or a few candidate matches. In one embodiment, the two separate geometric estimations are used to rank and verify matching candidates.

    摘要翻译: 本发明使用作为电子文档的每一页特有的一组局部特征的不可见结,以将捕获的图像与电子文档的一部分相匹配。 本发明包括:图像捕获装置,特征提取和识别系统和数据库。 当打印电子文档时,特征提取和识别系统捕获文档页面的图像。 然后将捕获的图像中的特征提取,索引并存储在数据库中。 给定查询图像,通常是由低分辨率图像捕获设备捕获的一些文档页面的小补丁,提取查询图像中的特征并将其与存储在数据库中的特征进行比较以识别查询图像。 本发明有利地使用几何估计来将查询结果减少到单个或几个候选匹配。 在一个实施例中,使用两个单独的几何估计来对匹配候选进行排序和验证。

    Invisible junction feature recognition for document security or annotation
    37.
    发明授权
    Invisible junction feature recognition for document security or annotation 有权
    隐形连接点特征识别用于文档安全性或注释

    公开(公告)号:US09373029B2

    公开(公告)日:2016-06-21

    申请号:US12059583

    申请日:2008-03-31

    IPC分类号: G06K9/00

    CPC分类号: G06K9/00449 G06K9/00463

    摘要: The present invention uses invisible junctions which are a set of local features unique to every page of the electronic document to match the captured image to a part of an electronic document. The present invention includes: an image capture device, a feature extraction and recognition system and database. When an electronic document is printed, the feature extraction and recognition system captures an image of the document page. The features in the captured image are then extracted, indexed and stored in the database. Given a query image, the features in the query image are extracted and compared against those stored in the database to identify the query image. The feature extraction and recognition system of the present invention is integrated into a multifunction peripheral. This allows the feature extraction and recognition system to be used in conjunction with other modules to provide security and annotation applications.

    摘要翻译: 本发明使用作为电子文档的每一页特有的一组局部特征的不可见结,以将捕获的图像与电子文档的一部分相匹配。 本发明包括:图像捕获装置,特征提取和识别系统和数据库。 当打印电子文档时,特征提取和识别系统捕获文档页面的图像。 然后将捕获的图像中的特征提取,索引并存储在数据库中。 给定查询图像,提取查询图像中的特征并将其与存储在数据库中的特征进行比较,以识别查询图像。 本发明的特征提取和识别系统被集成到多功能外围设备中。 这允许特征提取和识别系统与其他模块结合使用以提供安全性和注释应用。

    Visual-cue refinement of user query results
    38.
    发明授权
    Visual-cue refinement of user query results 有权
    用户查询结果的视觉提示细化

    公开(公告)号:US09355179B2

    公开(公告)日:2016-05-31

    申请号:US12890097

    申请日:2010-09-24

    IPC分类号: G06F17/30

    摘要: Methods and computer-storage media having computer-executable instructions embodied thereon that facilitate refining query results using visual cues are provided. Query results are determined in response to an indication of a user query. One or more groups of query results are generated from the query results based on categories of query results that share similar features. Visual cues are associated with each of the query result groups. Visual cues, in association with query result groups, are presented to a user. Query results associated with a selected visual cue may be presented to a user. A refined user query may be generated based on a selected visual cue.

    摘要翻译: 提供了具有实现在其上的计算机可执行指令的方法和计算机存储介质,其使用视觉提示便于精简查询结果。 响应于用户查询的指示来确定查询结果。 基于共享类似特征的查询结果的类别,从查询结果生成一组或多组查询结果。 视觉线索与每个查询结果组相关联。 与查询结果组相关联的视觉提示被呈现给用户。 与所选择的视觉提示相关联的查询结果可以被呈现给用户。 可以基于所选择的视觉提示来生成精细的用户查询。

    Ad hoc paper-based networking with mixed media reality
    39.
    发明授权
    Ad hoc paper-based networking with mixed media reality 有权
    具有混合媒体现实的特别纸质网络

    公开(公告)号:US08989431B1

    公开(公告)日:2015-03-24

    申请号:US12060200

    申请日:2008-03-31

    IPC分类号: G06K9/00 G06T5/00

    CPC分类号: G06T5/009 G06K9/00442

    摘要: A Mixed Media Reality (MMR) system and associated techniques are disclosed. The MMR system provides mechanisms for forming a mixed media document that includes media of at least two types (e.g., printed paper as a first medium and digital content and/or web link as a second medium). The present invention provides a system, method, and computer program product for creating an ad hoc association between users. Captured digital images of paper documents or portions associated with a user are received. Document recognition features are extracted from the captured digital image. An ad hoc association is created between the user and another user associated with an existing document recognition feature similar to the extracted document recognition features.

    摘要翻译: 公开了混合媒体现实(MMR)系统及其相关技术。 MMR系统提供用于形成包括至少两种类型的媒体(例如,作为第一媒体的打印纸和作为第二媒体的数字内容和/或web链接)的混合媒体文档的机制。 本发明提供了一种用于创建用户之间的临时关联的系统,方法和计算机程序产品。 收到纸张文件或与用户相关的部分的数字图像的捕获。 从捕获的数字图像中提取文档识别特征。 在与所提取的文档识别特征相似的用户与与现有文档识别特征相关联的另一用户之间创建特别关联。