Assessing legibility of images
    51.
    发明授权
    Assessing legibility of images 有权
    评估图像的易读性

    公开(公告)号:US09418310B1

    公开(公告)日:2016-08-16

    申请号:US13529834

    申请日:2012-06-21

    IPC分类号: G06K9/46 G06K9/66 G06K9/00

    摘要: In some implementations, legibility of an image may be automatically determined based, at least in part, on text contained in the image. For example, image analysis techniques may be used to identify text components in an image. One or more features of each text component may be determined for use in assessing the legibility of the text component. For example, a classifier trained on the one or more features may provide a confidence level indicative of the legibility of each text component. The confidence level for each of the text components may be compared to a legibility threshold for determining whether the text component is legible or illegible. Based, at least in part, on the determination as to how much of the text in the image is legible or illegible, an overall legibility of the image may be assessed.

    摘要翻译: 在一些实现中,可以至少部分地基于图像中包含的文本来自动确定图像的可读性。 例如,可以使用图像分析技术来识别图像中的文本分量。 可以确定每个文本组件的一个或多个特征以用于评估文本组件的可读性。 例如,针对一个或多个特征训练的分类器可以提供指示每个文本分量的可读性的置信水平。 可以将每个文本分量的置信水平与用于确定文本分量是否可读或难以辨认的可读性阈值进行比较。 至少部分地基于对图像中的文本多少可读或不清楚的确定,可以评估图像的整体可读性。

    Low Odor Reactive Methacrylate Composition for Fast Room Temperature Curing Floor Coating Formulations
    52.
    发明申请
    Low Odor Reactive Methacrylate Composition for Fast Room Temperature Curing Floor Coating Formulations 有权
    低气味反应性甲基丙烯酸酯组合物用于快速室温固化地板涂料配方

    公开(公告)号:US20150191622A1

    公开(公告)日:2015-07-09

    申请号:US14584344

    申请日:2014-12-29

    IPC分类号: C09D151/00 B05D3/06 C09D5/00

    摘要: A UV or thermally curable, low odor, liquid coating composition, which readily applied at room temperature without heating comprising: a) a reactive acrylic based polymer comprising pendant acrylate or methacrylate groups; b) reactive unsaturated monomers, typically acrylic or methacrylic monomers, often polyfunctional monomers; c) a thermal or UV activated radical initiator; and in many embodiments, d) an inert and non-polar wax or viscous oil, e.g., a paraffinic material, and e) optionally a tertiary amine, for example, a tertiary amine accelerator used with a thermally activated radical initiator. Also provided are substrates coated with the composition of the invention, for example, flooring coated with the inventive composition.

    摘要翻译: UV或可热固化的低气味液体涂料组合物,其容易在室温下施加而不加热,包括:a)包含丙烯酸酯或甲基丙烯酸酯基团的反应性丙烯酸类聚合物; b)反应性不饱和单体,通常为丙烯酸或甲基丙烯酸单体,通常为多官能单体; c)热或UV活化的自由基引发剂; 并且在许多实施方案中,d)惰性和非极性蜡或粘性油,例如链烷烃材料,和e)任选的叔胺,例如与热活化的自由基引发剂一起使用的叔胺促进剂。 还提供了涂覆有本发明组合物的基材,例如涂覆有本发明组合物的地板。

    Method and apparatus for implementing network device function of wireless communication terminal
    53.
    发明授权
    Method and apparatus for implementing network device function of wireless communication terminal 有权
    实现无线通信终端网络设备功能的方法和装置

    公开(公告)号:US09078282B2

    公开(公告)日:2015-07-07

    申请号:US13580545

    申请日:2010-09-21

    申请人: Ming Zhao

    发明人: Ming Zhao

    摘要: The disclosure provides a method and an apparatus for implementing a network device function of a wireless communication terminal, belonging to the field of communications. The method for implementing a network device function of a wireless communication terminal includes: the apparatus for implementing the network device function of the wireless communication terminal receives a control instruction and determines a sender of the control instruction; when the sender of the control instruction is a host, the apparatus for implementing the network device function of the wireless communication terminal forwards the received control instruction to the wireless communication terminal; and, when the sender of the control instruction is the wireless communication terminal, the apparatus for implementing the network device function of the wireless communication terminal forwards the received control instruction to the host. The technical solution can implement a network data exchange with the wireless communication terminal on a non-windows platform.

    摘要翻译: 本公开提供了一种用于实现属于通信领域的无线通信终端的网络设备功能的方法和装置。 实现无线通信终端的网络设备功能的方法包括:用于实现无线通信终端的网络设备功能的设备接收控制指令并确定控制指令的发送者; 当控制指令的发送方是主机时,用于实现无线通信终端的网络设备功能的装置将接收到的控制指令转发给无线通信终端; 并且当控制指令的发送者是无线通信终端时,用于实现无线通信终端的网络设备功能的装置将接收到的控制指令转发给主机。 该技术方案可以在非Windows平台上与无线通信终端实现网络数据交换。

    Web mining to build a landmark database and applications thereof
    55.
    发明授权
    Web mining to build a landmark database and applications thereof 有权
    Web挖掘构建一个地标数据库及其应用

    公开(公告)号:US08788504B1

    公开(公告)日:2014-07-22

    申请号:US12269445

    申请日:2008-11-12

    IPC分类号: G06F7/00 G06F17/30 G06F17/00

    摘要: This invention relates to building a landmark database from web data. In one embodiment, a computer-implemented method builds a landmark database. Web data including a web page is received from one or more websites via one or more networks. The web data is interpreted using at least one processor to determine landmark data describing a landmark. At least a portion of the landmark data identifies a landmark. Finally, a visual model is generated using the landmark data. A computing device is able to recognize the landmark in an image based on the visual model.

    摘要翻译: 本发明涉及从网络数据建立地标数据库。 在一个实施例中,计算机实现的方法构建地标数据库。 通过一个或多个网络从一个或多个网站接收包括网页的网页数据。 使用至少一个处理器来解释网络数据,以确定描述地标的地标数据。 地标数据的至少一部分标识了一个里程碑。 最后,使用地标数据生成视觉模型。 计算设备能够基于视觉模型识别图像中的地标。

    Graph-based fusion for video classification
    57.
    发明授权
    Graph-based fusion for video classification 有权
    用于视频分类的基于图形的融合

    公开(公告)号:US08533134B1

    公开(公告)日:2013-09-10

    申请号:US12938309

    申请日:2010-11-02

    IPC分类号: G06F15/18

    CPC分类号: G06F17/30705 G06N99/005

    摘要: A classifier training system trains unified classifiers for categorizing videos representing different categories of a category graph. The unified classifiers unify the outputs of a number of separate initial classifiers trained from disparate subsets of a training set of media items. The training process takes into account the relationships that exist between the various categories of the category graph by relating scores associated with related categories, thus enhancing the accuracy of the unified classifiers.

    摘要翻译: 分类器训练系统训练统一的分类器,用于对表示类别图表的不同类别的视频进行分类。 统一的分类器统一了由训练集合的媒体项目的不同子集训练的多个单独的初始分类器的输出。 培训过程通过将相关分数相关联的分数考虑到类别图的各种类别之间存在的关系,从而提高统一分类器的准确性。

    Training of adapted classifiers for video categorization
    58.
    发明授权
    Training of adapted classifiers for video categorization 有权
    适应分类器的视频分类培训

    公开(公告)号:US08452778B1

    公开(公告)日:2013-05-28

    申请号:US12874015

    申请日:2010-09-01

    IPC分类号: G06F17/30 G10L19/12

    摘要: A classifier training system trains adapted classifiers for classifying videos based at least in part on scores produced by application of text-based classifiers to textual metadata of the videos. Each classifier corresponds to a particular category, and when applied to a given video indicates whether the video represents the corresponding category. The classifier training system applies the text-based classifiers to textual metadata of the videos to obtain the scores, and also extracts features from content of the videos, combining the scores and the content features for a video into a set of hybrid features. The adapted classifiers are then trained on the hybrid features. The adaption of the text-based classifiers from the textual domain to the video domain allows the training of accurate video classifiers (the adapted classifiers) without requiring a large training set of authoritatively labeled videos.

    摘要翻译: 分类器训练系统训练适用的分类器,用于至少部分地基于将基于文本的分类器应用于视频的文本元数据而产生的分数来分类视频。 每个分类器对应于特定类别,并且当应用于给定视频时指示视频是否表示相应类别。 分类器训练系统将基于文本的分类器应用于视频的文本元数据以获得分数,并且还从视频内容中提取特征,将视频的分数和内容特征组合成一组混合特征。 然后对适应的分类器对混合特征进行训练。 基于文本的分类器从文本域到视频域的适应允许训练准确的视频分类器(适应的分类器),而不需要大量的授权标签视频的训练集。

    VIDEO CONTENT ANALYSIS FOR AUTOMATIC DEMOGRAPHICS RECOGNITION OF USERS AND VIDEOS
    59.
    发明申请
    VIDEO CONTENT ANALYSIS FOR AUTOMATIC DEMOGRAPHICS RECOGNITION OF USERS AND VIDEOS 有权
    视频内容分析用于自动人脸识别用户和视频

    公开(公告)号:US20120272259A1

    公开(公告)日:2012-10-25

    申请号:US13488126

    申请日:2012-06-04

    IPC分类号: H04N21/24

    摘要: A video demographics analysis system selects a training set of videos to use to correlate viewer demographics and video content data. The video demographics analysis system extracts demographic data from viewer profiles related to videos in the training set and creates a set of demographic distributions, and also extracts video data from videos in the training set. The video demographics analysis system correlates the viewer demographics with the video data of videos viewed by that viewer. Using the prediction model produced by the machine learning process, a new video about which there is no a priori knowledge can be associated with a predicted demographic distribution specifying probabilities of the video appealing to different types of people within a given demographic category, such as people of different ages within an age demographic category.

    摘要翻译: 视频人口统计分析系统选择用于将观众人口特征和视频内容数据相关联的一组视频。 视频人口统计分析系统从与训练集中的视频相关的观众简档中提取人口统计学数据,并创建一组人口分布,并从训练集中的视频中提取视频数据。 视频人口统计分析系统将观众人口统计学与观众观看的视频的视频数据相关联。 使用机器学习过程产生的预测模型,可以将预测的人口分布与预测的人口分布相关联,所述预测人口统计分布规定了给定人口统计学类别中的不同类型的人的视频的概率,例如人 在不同年龄的人口统计学类别。

    Automatic large scale video object recognition
    60.
    发明授权
    Automatic large scale video object recognition 有权
    自动大规模视频对象识别

    公开(公告)号:US08254699B1

    公开(公告)日:2012-08-28

    申请号:US12364390

    申请日:2009-02-02

    申请人: Ming Zhao Jay Yagnik

    发明人: Ming Zhao Jay Yagnik

    CPC分类号: G06K9/6232 G06K9/6215

    摘要: An object recognition system performs a number of rounds of dimensionality reduction and consistency learning on visual content items such as videos and still images, resulting in a set of feature vectors that accurately predict the presence of a visual object represented by a given object name within an visual content item. The feature vectors are stored in association with the object name which they represent and with an indication of the number of rounds of dimensionality reduction and consistency learning that produced them. The feature vectors and the indication can be used for various purposes, such as quickly determining a visual content item containing a visual representation of a given object name.

    摘要翻译: 对象识别系统对诸如视频和静止图像的视觉内容项目执行多次维数降低和一致性学习,导致一组特征向量,其精确地预测由一个对象名称表示的视觉对象的存在 视觉内容项目。 特征向量与它们所代表的对象名称相关联地存储,并且显示产生它们的维度降低和一致性学习的轮次数。 特征向量和指示可以用于各种目的,诸如快速确定包含给定对象名称的视觉表示的视觉内容项。