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1. 发明申请

US20060147107A1 Method and system for learning-based quality assessment of images 有权
公开(公告)号：US20060147107A1
公开(公告)日：2006-07-06
申请号：US11029913
申请日：2005-01-04
申请人： Hong-Jiang Zhang , Ming Li , Wei-Ying Ma
发明人： Hong-Jiang Zhang , Ming Li , Wei-Ying Ma
IPC分类号： G06K9/62 , G06K9/36
CPC分类号： G06T7/0002 , G06K9/036
摘要： A method and system for learning-based assessment of the quality of an image is provided. An image quality assessment system trains an image classifier based on a training set of sample images that have quality ratings. To train the classifier, the assessment system generates a feature vector for each sample image representing various attributes of the image. The assessment system may train the classifier using an adaptive boosting technique to calculate a quality score for an image. Once the classifier is trained, the assessment system may calculate the quality of an image by generating a feature vector for that image and applying the trained classifier to the feature vector to calculate the quality score for the image.

2. 发明授权

US09483577B2 Small form factor web browsing 有权
标题翻译：小尺寸网页浏览
公开(公告)号：US09483577B2
公开(公告)日：2016-11-01
申请号：US13230513
申请日：2011-09-12
申请人： Yu Chen , Hong-Jiang Zhang , Wei-Ying Ma , Ming-Yu Wang
发明人： Yu Chen , Hong-Jiang Zhang , Wei-Ying Ma , Ming-Yu Wang
IPC分类号： G06F17/00 , G06F17/30
CPC分类号： G06F17/30905
摘要： A large web page is analyzed and partitioned into smaller sub-pages so that a user can navigate the web page on a small form factor device. The user can browse the sub-pages to find and read information in the content of the large web page. The partitioning can be performed at a web server, an edge server, at the small form factor device, or can be distributed across one or more such devices. The analysis leverages design habits of a web page author to extract a representation structure of an authored web page. The extracted representation structure includes high level structure using several markup language tag selection rules and low level structure using visual boundary detection in which visual units of the low level structure are provided by clustering markup language tags. User viewing habits can be learned to display favorite parts of a web page.
摘要翻译：分析大型网页并将其划分为更小的子页面，以便用户可以在小尺寸设备上浏览网页。用户可以浏览子页面，以便在大型网页的内容中查找和读取信息。分区可以在Web服务器，边缘服务器，小尺寸设备处执行，或者可以分布在一个或多个这样的设备上。分析利用网页作者的设计习惯来提取创作网页的表示结构。所提取的表示结构包括使用几种标记语言标签选择规则的高级结构和使用视觉边界检测的低级结构，其中通过聚类标记语言标签提供低级结构的视觉单元。可以学习用户观看习惯来显示网页的喜爱部分。

3. 发明授权

US07545985B2 Method and system for learning-based quality assessment of images 有权
标题翻译：图像学习质量评估方法与系统
公开(公告)号：US07545985B2
公开(公告)日：2009-06-09
申请号：US11029913
申请日：2005-01-04
申请人： Hong-Jiang Zhang , Ming Jing Li , Wei-Ying Ma
发明人： Hong-Jiang Zhang , Ming Jing Li , Wei-Ying Ma
IPC分类号： G06K9/62
CPC分类号： G06T7/0002 , G06K9/036
摘要： A method and system for learning-based assessment of the quality of an image is provided. An image quality assessment system trains an image classifier based on a training set of sample images that have quality ratings. To train the classifier, the assessment system generates a feature vector for each sample image representing various attributes of the image. The assessment system may train the classifier using an adaptive boosting technique to calculate a quality score for an image. Once the classifier is trained, the assessment system may calculate the quality of an image by generating a feature vector for that image and applying the trained classifier to the feature vector to calculate the quality score for the image.
摘要翻译：提供了一种用于基于学习的图像质量评估方法和系统。图像质量评估系统基于具有质量等级的样本图像的训练集来训练图像分类器。为了训练分类器，评估系统为表示图像的各种属性的每个样本图像生成特征向量。评估系统可以使用自适应增强技术训练分类器来计算图像的质量分数。一旦分类器被训练，评估系统可以通过生成该图像的特征向量来计算图像的质量，并将经训练的分类器应用于特征向量以计算图像的质量得分。

4. 发明申请

US20050071364A1 Document representation for scalable structure 有权
标题翻译：可扩展结构的文档表示
公开(公告)号：US20050071364A1
公开(公告)日：2005-03-31
申请号：US10676518
申请日：2003-09-30
申请人： Xing Xie , Wei-Ying Ma , Hong-Jiang Zhang , Liqun Chen
发明人： Xing Xie , Wei-Ying Ma , Hong-Jiang Zhang , Liqun Chen
IPC分类号： G06F17/00 , G06F17/30
CPC分类号： G06F17/30905 , Y10S707/99942 , Y10S707/99943 , Y10S707/99944 , Y10S707/99945
摘要： An exemplary system includes a browser to browse a web page based on a web page definition having a slicing tree defining an arrangement of rectangular regions in the web page. The web page definition can include parametric data describing adaptability parameters associated with a rectangular region. A rendering module renders an adapted web page based on the web page definition, and a proxy module generates an intermediary adapted web page definition. A method includes rendering the web page according to a slicing tree and block property data in an associated web page definition. The method may include determining a set of unsummarized blocks that maximize information fidelity.
摘要翻译：示例性系统包括浏览器，其基于具有定义网页中的矩形区域布置的切片树的网页定义来浏览网页。网页定义可以包括描述与矩形区域相关联的适应性参数的参数数据。呈现模块基于网页定义呈现适应的网页，并且代理模块生成中介适配的网页定义。一种方法包括根据切片树渲染网页并在相关网页定义中块块属性数据。该方法可以包括确定使信息保真度最大化的一组未知块。

5. 发明申请

US20050021531A1 Community mining based on core objects and affiliated objects 失效
标题翻译：基于核心对象和附属对象的社区挖掘
公开(公告)号：US20050021531A1
公开(公告)日：2005-01-27
申请号：US10624759
申请日：2003-07-22
申请人： Ji-Rong Wen , Wen-Jun Zhou , Wei-Ying Ma , Hong-Jiang Zhang
发明人： Ji-Rong Wen , Wen-Jun Zhou , Wei-Ying Ma , Hong-Jiang Zhang
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06F17/30873 , G06F17/30864
摘要： In community mining based on core objects and affiliated objects, a set of core objects for a community of objects are identified from a plurality of objects. The community is expanded, based on the set of core objects, to include a set of affiliated objects. According to one aspect, a model of a community of objects is obtained by grouping a first collection of a plurality of objects into a center portion, and grouping a second collection of the plurality of objects into one or more concentric portions around the center portion. The groupings of the first and second collections of the objects are identified as the community of objects.
摘要翻译：在基于核心对象和附属对象的社区挖掘中，从多个对象中识别出用于对象社区的一组核心对象。基于一组核心对象扩展社区，包括一组附属对象。根据一个方面，通过将多个对象的第一集合分组成中心部分并将多个对象的第二集合分组成围绕中心部分的一个或多个同心部分来获得对象社区的模型。对象的第一和第二集合的分组被标识为对象的社区。

6. 发明授权

US07885960B2 Community mining based on core objects and affiliated objects 失效
标题翻译：基于核心对象和附属对象的社区挖掘
公开(公告)号：US07885960B2
公开(公告)日：2011-02-08
申请号：US10624759
申请日：2003-07-22
申请人： Ji-Rong Wen , Wen-Jun Zhou , Wei-Ying Ma , Hong-Jiang Zhang
发明人： Ji-Rong Wen , Wen-Jun Zhou , Wei-Ying Ma , Hong-Jiang Zhang
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06F17/30873 , G06F17/30864
摘要： In community mining based on core objects and affiliated objects, a set of core objects for a community of objects are identified from a plurality of objects. The community is expanded, based on the set of core objects, to include a set of affiliated objects. According to one aspect, a model of a community of objects is obtained by grouping a first collection of a plurality of objects into a center portion, and grouping a second collection of the plurality of objects into one or more concentric portions around the center portion. The groupings of the first and second collections of the objects are identified as the community of objects.
摘要翻译：在基于核心对象和附属对象的社区挖掘中，从多个对象中识别出用于对象社区的一组核心对象。基于一组核心对象扩展社区，包括一组附属对象。根据一个方面，通过将多个对象的第一集合分组成中心部分并将多个对象的第二集合分组成围绕中心部分的一个或多个同心部分来获得对象社区的模型。对象的第一和第二集合的分组被标识为对象的社区。

7. 发明申请

US20060026524A1 Systems and methods for smart media content thumbnail extraction 有权
标题翻译：智能媒体内容缩略图提取的系统和方法
公开(公告)号：US20060026524A1
公开(公告)日：2006-02-02
申请号：US10910803
申请日：2004-08-02
申请人： Yu-Fei Ma , Bin Lin , Zhike Kong , Xinli Zou , Wei-Ying Ma , Hong-Jiang Zhang
发明人： Yu-Fei Ma , Bin Lin , Zhike Kong , Xinli Zou , Wei-Ying Ma , Hong-Jiang Zhang
IPC分类号： G06F17/21 , G06F17/24 , G06F17/00 , G06F3/00 , G06F15/00 , G06F9/00
CPC分类号： G11B27/28 , G06F17/30793 , G06F17/30802 , G06F17/30849 , G06K9/00711 , G11B27/10
摘要： Systems and methods for smart media content thumbnail extraction are described. In one aspect program metadata is generated from recorded video content. The program metadata includes one or more key-frames from one or more corresponding shots. An objectively representative key-frame is identified from among the key-frames as a function of shot duration and frequency of appearance of key-frame content across multiple shots. The objectively representative key-frame is an image frame representative of the recorded video content. A thumbnail is created from the objectively representative key-frame.
摘要翻译：描述了用于智能媒体内容缩略图提取的系统和方法。在一个方面，节目元数据是从记录的视频内容生成的。程序元数据包括来自一个或多个相应镜头的一个或多个关键帧。从关键帧中识别出客观上代表性的关键帧作为多个镜头中的关键帧内容的拍摄持续时间和出现频率的函数。客观代表的关键帧是表示记录的视频内容的图像帧。从客观代表的关键帧创建缩略图。

8. 发明授权

US07986372B2 Systems and methods for smart media content thumbnail extraction 有权
标题翻译：智能媒体内容缩略图提取的系统和方法
公开(公告)号：US07986372B2
公开(公告)日：2011-07-26
申请号：US10910803
申请日：2004-08-02
申请人： Yu-Fei Ma , Bin Lin , Zhike Kong , Xinli Zou , Wei-Ying Ma , Hong-Jiang Zhang
发明人： Yu-Fei Ma , Bin Lin , Zhike Kong , Xinli Zou , Wei-Ying Ma , Hong-Jiang Zhang
IPC分类号： H04N5/14 , H04N9/64
CPC分类号： G11B27/28 , G06F17/30793 , G06F17/30802 , G06F17/30849 , G06K9/00711 , G11B27/10
摘要： Systems and methods for smart media content thumbnail extraction are described. In one aspect program metadata is generated from recorded video content. The program metadata includes one or more key-frames from one or more corresponding shots. An objectively representative key-frame is identified from among the key-frames as a function of shot duration and frequency of appearance of key-frame content across multiple shots. The objectively representative key-frame is an image frame representative of the recorded video content. A thumbnail is created from the objectively representative key-frame.
摘要翻译：描述了用于智能媒体内容缩略图提取的系统和方法。在一个方面，节目元数据是从记录的视频内容生成的。程序元数据包括来自一个或多个相应镜头的一个或多个关键帧。从关键帧中识别出客观上代表性的关键帧作为多个镜头中的关键帧内容的拍摄持续时间和出现频率的函数。客观代表的关键帧是表示记录的视频内容的图像帧。从客观代表的关键帧创建缩略图。

9. 发明授权

US07471827B2 Automatic browsing path generation to present image areas with high attention value as a function of space and time 有权
标题翻译：自动浏览路径生成，以高度的注意力来呈现作为空间和时间的函数的图像区域
公开(公告)号：US07471827B2
公开(公告)日：2008-12-30
申请号：US10688471
申请日：2003-10-16
申请人： Xing Xie , Wei-Ying Ma , Hong-Jiang Zhang , Liu Hao
发明人： Xing Xie , Wei-Ying Ma , Hong-Jiang Zhang , Liu Hao
IPC分类号： G06K9/34
CPC分类号： G06F17/30905
摘要： Systems and methods for automatic generation of a browsing path across image content to present areas with high attention value are described. In particular, an image is modeled via multiple visual attentions to create a respective set of attention objects for each modeled attention. The attention objects and their respective attributes are analyzed to generate a browsing path to select ones of the attention objects. The browsing path is generated to optimize the rate of information gain from the attention objects as a function of information unit cost in terms of time constraints associated with multiple image browsing modes.
摘要翻译：描述了跨越图像内容自动生成浏览路径以呈现具有高注意力值的区域的系统和方法。特别地，通过多个视觉注意来建模图像，以为每个建模的注意创建相应的一组关注对象。分析注意对象及其各自的属性，生成浏览路径以选择注意对象。生成浏览路径以根据与多个图像浏览模式相关联的时间约束来优化来自注意对象的信息增益的速率作为信息单元成本的函数。

10. 发明申请

US20050084136A1 Automatic browsing path generation to present image areas with high attention value as a function of space and time 有权
标题翻译：自动浏览路径生成，以高度的注意力来呈现作为空间和时间的函数的图像区域
公开(公告)号：US20050084136A1
公开(公告)日：2005-04-21
申请号：US10688471
申请日：2003-10-16
申请人： Xing Xie , Wei-Ying Ma , Hong-Jiang Zhang , Liu Hao
发明人： Xing Xie , Wei-Ying Ma , Hong-Jiang Zhang , Liu Hao
IPC分类号： G06F17/30 , G06K9/00
CPC分类号： G06F17/30905
摘要： Systems and methods for automatic generation of a browsing path across image content to present areas with high attention value are described. In particular, an image is modeled via multiple visual attentions to create a respective set of attention objects for each modeled attention. The attention objects and their respective attributes are analyzed to generate a browsing path to select ones of the attention objects. The browsing path is generated to optimize the rate of information gain from the attention objects as a function of information unit cost in terms of time constraints associated with multiple image browsing modes.
摘要翻译：描述了跨越图像内容自动生成浏览路径以呈现具有高注意力值的区域的系统和方法。特别地，通过多个视觉注意来建模图像，以为每个建模的注意创建相应的一组关注对象。分析注意对象及其各自的属性，生成浏览路径以选择注意对象。生成浏览路径以根据与多个图像浏览模式相关联的时间约束来优化来自注意对象的信息增益的速率作为信息单元成本的函数。

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