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21. 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。

22. 发明授权

US08122345B2 Function-based object model for use in WebSite adaptation 有权
标题翻译：基于功能的对象模型用于WebSite适配
公开(公告)号：US08122345B2
公开(公告)日：2012-02-21
申请号：US12264566
申请日：2008-11-04
申请人： Jin-Lin Chen , Yudong Yang , Hong-Jiang Zhang
发明人： Jin-Lin Chen , Yudong Yang , Hong-Jiang Zhang
IPC分类号： G06F17/00
CPC分类号： G06F17/3089
摘要： By understanding a website author's intention through an analysis of the function of a website, website content can be adapted for presentation or rendering in a manner that more closely appreciates and respects the function behind the website. Various inventive systems and methods analyze a website's function so that its content can be adapted to different client environments, e.g. devices, network conditions, or user preferences. A novel function-based object model automatically identifies objects associated with a website, and analyzes those objects in terms of their functions. The function-based object model permits consistent, informed decisions to be made in the adaptation process, so that web content is displayed not only in an organized manner, but in a manner that reflects the author's intention.
摘要翻译：通过对网站功能的分析了解网站作者的意图，网站内容可以以更加欣赏和尊重网站背后的功能的方式进行呈现或呈现。各种发明的系统和方法分析网站的功能，使得其内容可以适应于不同的客户端环境，例如，设备，网络条件或用户偏好。基于功能的新型对象模型自动识别与网站相关联的对象，并根据其功能对这些对象进行分析。基于功能的对象模型允许在适应过程中做出一致的，明智的决定，使得网页内容不仅以有组织的方式显示，而且以反映作者意图的方式显示。

23. 发明授权

US08094719B2 Streaming methods and systems 有权
公开(公告)号：US08094719B2
公开(公告)日：2012-01-10
申请号：US12356157
申请日：2009-01-20
申请人： Tianming Liu , Hong-Jiang Zhang , Wei Qi
发明人： Tianming Liu , Hong-Jiang Zhang , Wei Qi
IPC分类号： H04N7/12 , H04N11/02 , H04N11/04 , H04B1/66
CPC分类号： H04L65/80 , H04L29/06027 , H04L65/602 , H04L65/607 , H04N19/132 , H04N19/137 , H04N19/152 , H04N19/159 , H04N19/172 , H04N19/34 , H04N19/587 , H04N19/61 , H04N19/87 , H04N21/234327 , H04N21/2401 , H04N21/2402 , H04N21/2662 , H04N21/6373
摘要： Various embodiments provide methods and systems for streaming data that can facilitate streaming during bandwidth fluctuations in a manner that can enhance the user experience. In one aspect, a forward-shifting technique is utilized to buffer data that is to be streamed, e.g. an enhancement layer in a FGS stream. Various techniques can drop layers actively when bandwidth is constant. The saved bandwidth can then be used to pre-stream enhancement layer portions. In another aspect, a content-aware decision can be made as to how to drop enhancement layers when bandwidth decreases. During periods of decreasing bandwidth, if a video segment does not contain important content, the enhancement layers will be dropped to keep the forward-shifting of the enhancement layer unchanged. If the enhancement layer does contain important content, it will be transmitted later when bandwidth increases.

24. 发明授权

US07646909B2 Method and system for constructing a 3D representation of a face from a 2D representation 有权
标题翻译：用于从2D表示构造面部的3D表示的方法和系统
公开(公告)号：US07646909B2
公开(公告)日：2010-01-12
申请号：US12194467
申请日：2008-08-19
申请人： Dalong Jiang , Hong-Jiang Zhang , Lei Zhang , Shuicheng Yan , Yuxiao Hu
发明人： Dalong Jiang , Hong-Jiang Zhang , Lei Zhang , Shuicheng Yan , Yuxiao Hu
IPC分类号： G06K9/00
CPC分类号： G06K9/00288 , G06K9/00208
摘要： A method and system for generating 3D images of faces from 2D images, for generating 2D images of the faces at different image conditions from the 3D images, and for recognizing a 2D image of a target face based on the generated 2D images is provided. The recognition system provides a 3D model of a face that includes a 3D image of a standard face under a standard image condition and parameters indicating variations of an individual face from the standard face. To generate the 3D image of a face, the recognition system inputs a 2D image of the face under a standard image condition. The recognition system then calculates parameters that map the points of the 2D image to the corresponding points of a 2D image of the standard face. The recognition system uses these parameters with the 3D model to generate 3D images of the face at different image conditions.
摘要翻译：提供了一种用于从2D图像生成面部的3D图像的方法和系统，用于在3D图像的不同图像条件下生成面部的2D图像，并且基于所生成的2D图像来识别目标面部的2D图像。识别系统提供了一种面部的3D模型，其包括在标准图像条件下的标准面的3D图像和指示单个脸部与标准脸部的变化的参数。为了生成面部的3D图像，识别系统在标准图像条件下输入面部的2D图像。识别系统然后计算将2D图像的点映射到标准面的2D图像的对应点的参数。识别系统使用这些参数与3D模型在不同图像条件下生成脸部的3D图像。

25. 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。

26. 发明授权

US07523105B2 Clustering web queries 有权
标题翻译：群集网络查询
公开(公告)号：US07523105B2
公开(公告)日：2009-04-21
申请号：US11276308
申请日：2006-02-23
申请人： Ji-Rong Wen , Jian-Yun Nie , Mingjing Li , Hong-Jiang Zhang
发明人： Ji-Rong Wen , Jian-Yun Nie , Mingjing Li , Hong-Jiang Zhang
IPC分类号： G06F17/30
CPC分类号： G06F17/30654 , G06F17/30867 , Y10S707/99932 , Y10S707/99934 , Y10S707/99935 , Y10S707/99936 , Y10S707/99937 , Y10S707/99938 , Y10S707/99939
摘要： Systems and methods for clustering Web queries are described. In one aspect, one or more of a same document and a plurality of similar documents selected by a user in response to a plurality of queries is identified. Responsive to this identification, a query cluster is generated. The cleric the query cluster indicates that the queries are similar independent of whether individual ones of the queries comprise similar composition with respect to other ones of the queries.
摘要翻译：描述用于集群Web查询的系统和方法。在一个方面，识别由用户响应于多个查询而选择的相同文档和多个类似文档中的一个或多个。响应于此标识，生成查询集群。查询集群的牧师表示查询是相似的，独立于查询中的个别查询是否包含与其他查询相似的组合。

27. 发明授权

US07519231B2 Hierarchical scheme for blur detection in a digital image 有权
标题翻译：数字图像中模糊检测的分层方案
公开(公告)号：US07519231B2
公开(公告)日：2009-04-14
申请号：US11770433
申请日：2007-06-28
申请人： Mingjing Li , Hao Wu , Hong-Jiang Zhang
发明人： Mingjing Li , Hao Wu , Hong-Jiang Zhang
IPC分类号： G06K9/40 , G06K9/36
CPC分类号： G06T7/12 , G06T2207/10016 , G06T2207/20016 , G06T2207/20064
摘要： Methods and apparatuses are provided for detecting blur within digital images using Cepstrum analysis blur detection techniques that are able to detect motion blur and/or out-of-focus blur.
摘要翻译：提供了使用能够检测运动模糊和/或失焦模糊的倒谱分析模糊检测技术来检测数字图像内的模糊的方法和装置。

28. 发明申请

US20080013861A1 Hierarchical Scheme for Blur Detection in a Digital Image 有权
标题翻译：数字图像中模糊检测的分层方案
公开(公告)号：US20080013861A1
公开(公告)日：2008-01-17
申请号：US11770433
申请日：2007-06-28
申请人： Mingjing Li , Hao Wu , Hong-Jiang Zhang
发明人： Mingjing Li , Hao Wu , Hong-Jiang Zhang
IPC分类号： G06K9/36
CPC分类号： G06T7/12 , G06T2207/10016 , G06T2207/20016 , G06T2207/20064
摘要： Methods and apparatuses are provided for detecting blur within digital images using Cepstrum analysis blur detection techniques that are able to detect motion blur and/or out-of-focus blur.
摘要翻译：提供了使用能够检测运动模糊和/或失焦模糊的倒谱分析模糊检测技术来检测数字图像内的模糊的方法和装置。

29. 发明授权

US07313185B2 Sequential motion pattern representation 有权
标题翻译：顺序运动图案表示
公开(公告)号：US07313185B2
公开(公告)日：2007-12-25
申请号：US10632666
申请日：2003-08-01
申请人： Yu-Fei Ma , Gu Xu , Hong-Jiang Zhang
发明人： Yu-Fei Ma , Gu Xu , Hong-Jiang Zhang
IPC分类号： H04N7/12
CPC分类号： G06T7/20 , H04N5/145
摘要： Systems and methods for representing sequential motion patterns are described. In one aspect, video frames are converted into a sequence of energy redistribution measurements. One or more motion filters are then applied to the ER measurements to generate one or more temporal sequences of motion patterns, the number of temporal sequences being a function of the number of motion filters.
摘要翻译：描述用于表示顺序运动模式的系统和方法。在一个方面，视频帧被转换成能量再分布测量序列。然后将一个或多个运动滤波器应用于ER测量以产生运动模式的一个或多个时间序列，时间序列的数量是运动滤波器的数量的函数。

30. 发明授权

US07212666B2 Generating visually representative video thumbnails 有权
标题翻译：生成视觉上具有代表性的视频缩略图
公开(公告)号：US07212666B2
公开(公告)日：2007-05-01
申请号：US10405971
申请日：2003-04-01
申请人： Dong Zhang , Yijin Wang , Hong-Jiang Zhang
发明人： Dong Zhang , Yijin Wang , Hong-Jiang Zhang
IPC分类号： G06K9/00
CPC分类号： G06K9/00711 , G06F17/30843 , G06K9/6255 , G11B27/102 , G11B27/28
摘要： An algorithm identifies a salient video frame from a video sequence for use as a video thumbnail. The identification of a video thumbnail is based on a frame goodness measure. The algorithm calculates a color histogram of a frame, and then calculates the entropy and standard deviation of the color histogram. The frame goodness measure is a weighted combination of the entropy and the standard deviation. A video frame having the highest value of frame goodness measure for a video sequence is determined as the video thumbnail for a video sequence.
摘要翻译：算法从视频序列中识别显着的视频帧，以用作视频缩略图。视频缩略图的识别基于帧良品度量。该算法计算一个帧的颜色直方图，然后计算颜色直方图的熵和标准偏差。框架良好度量是熵和标准偏差的加权组合。确定视频序列具有最高的帧质量度量值的视频帧作为视频序列的视频缩略图。

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