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    Relevance Maximizing, Iteration Minimizing, Relevance-Feedback, Content-Based Image Retrieval (CBIR)
    1.
    发明申请
    Relevance Maximizing, Iteration Minimizing, Relevance-Feedback, Content-Based Image Retrieval (CBIR) 有权
    相关性最大化，迭代最小化，相关性反馈，基于内容的图像检索（CBIR）

    公开(公告)号：US20060248044A1

    公开(公告)日：2006-11-02

    申请号：US11458057

    申请日：2006-07-17

    申请人： Hong-Jiang Zhang ,  Zhong Su ,  Xingquan Zhu

    发明人： Hong-Jiang Zhang ,  Zhong Su ,  Xingquan Zhu

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30256 ,  G06K9/6215 ,  G06K9/6253 ,  G06K9/6263 ,  G06K9/6278 ,  Y10S707/99931 ,  Y10S707/99932 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935 ,  Y10S707/99936 ,  Y10S707/99943 ,  Y10S707/99945 ,  Y10S707/99948

    摘要： An implementation of a technology, described herein, for relevance-feedback, content-based image retrieval minimizes the number of iterations for user feedback regarding the semantic relevance of exemplary images while maximizing the resulting relevance of each iteration. One technique for accomplishing this is to use a Bayesian classifier to treat positive and negative feedback examples with different strategies. In addition, query refinement techniques are applied to pinpoint the users' intended queries with respect to their feedbacks. These techniques further enhance the accuracy and usability of relevance feedback. This abstract itself is not intended to limit the scope of this patent. The scope of the present invention is pointed out in the appending claims.

    摘要翻译： 这里描述的用于相关性反馈的基于内容的图像检索的技术的实现使得关于示例性图像的语义相关性的用户反馈的迭代次数最小化，同时最大化每次迭代的结果相关性。 实现这一点的一种技术是使用贝叶斯分类器来处理具有不同策略的正反馈示例。 另外，使用查询优化技术来针对用户对其反馈的预期查询进行定位。 这些技术进一步提高了相关性反馈的准确性和可用性。 本摘要本身并不旨在限制本专利的范围。 在所附权利要求中指出了本发明的范围。

    Relevance maximizing, iteration minimizing, relevance-feedback, content-based image retrieval (CBIR)
    2.
    发明授权
    Relevance maximizing, iteration minimizing, relevance-feedback, content-based image retrieval (CBIR) 有权
    相关性最大化，迭代最小化，相关性反馈，基于内容的图像检索（CBIR）

    公开(公告)号：US06748398B2

    公开(公告)日：2004-06-08

    申请号：US09823534

    申请日：2001-03-30

    申请人： Hong-Jiang Zhang ,  Zhong Su ,  Xingquan Zhu

    发明人： Hong-Jiang Zhang ,  Zhong Su ,  Xingquan Zhu

    IPC分类号： G06F1730

    CPC分类号： G06F17/30256 ,  G06K9/6215 ,  G06K9/6253 ,  G06K9/6263 ,  G06K9/6278 ,  Y10S707/99931 ,  Y10S707/99932 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935 ,  Y10S707/99936 ,  Y10S707/99943 ,  Y10S707/99945 ,  Y10S707/99948

    摘要： An implementation of a technology, described herein, for relevance-feedback, content-based facilitating accurate and efficient image retrieval minimizes the number of iterations for user feedback regarding the semantic relevance of exemplary images while maximizing the resulting relevance of each iteration. One technique for accomplishing this is to use a Bayesian classifier to treat positive and negative feedback examples with different strategies. In addition, query refinement techniques are applied to pinpoint the users' intended queries with respect to their feedbacks. These techniques further enhance the accuracy and usability of relevance feedback. This abstract itself is not intended to limit the scope of this patent. The scope of the present invention is pointed out in the appending claims.

    摘要翻译： 这里描述的用于相关性反馈，基于内容的促进精确和有效的图像检索的技术的实现使得关于示例性图像的语义相关性的用户反馈的迭代次数最小化，同时最大化每次迭代的结果相关性。 实现这一点的一种技术是使用贝叶斯分类器来处理具有不同策略的正反馈示例。 另外，使用查询优化技术来针对用户对其反馈的预期查询进行定位。 这些技术进一步提高了相关性反馈的准确性和可用性。 本摘要本身并不旨在限制本专利的范围。 在所附权利要求中指出了本发明的范围。

    Relevance maximizing, iteration minimizing, relevance-feedback, content-based image retrieval (CBIR)
    3.
    发明授权
    Relevance maximizing, iteration minimizing, relevance-feedback, content-based image retrieval (CBIR) 有权
    相关性最大化，迭代最小化，相关性反馈，基于内容的图像检索（CBIR）

    公开(公告)号：US07546293B2

    公开(公告)日：2009-06-09

    申请号：US11458057

    申请日：2006-07-17

    申请人： Hong-Jiang Zhang ,  Zhong Su ,  Xingquan Zhu

    发明人： Hong-Jiang Zhang ,  Zhong Su ,  Xingquan Zhu

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30256 ,  G06K9/6215 ,  G06K9/6253 ,  G06K9/6263 ,  G06K9/6278 ,  Y10S707/99931 ,  Y10S707/99932 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935 ,  Y10S707/99936 ,  Y10S707/99943 ,  Y10S707/99945 ,  Y10S707/99948

    摘要： An implementation of a technology, described herein, for relevance-feedback, content-based image retrieval minimizes the number of iterations for user feedback regarding the semantic relevance of exemplary images while maximizing the resulting relevance of each iteration. One technique for accomplishing this is to use a Bayesian classifier to treat positive and negative feedback examples with different strategies. In addition, query refinement techniques are applied to pinpoint the users' intended queries with respect to their feedbacks. These techniques further enhance the accuracy and usability of relevance feedback. This abstract itself is not intended to limit the scope of this patent. The scope of the present invention is pointed out in the appending claims.

    摘要翻译： 这里描述的用于相关性反馈的基于内容的图像检索的技术的实现使得关于示例性图像的语义相关性的用户反馈的迭代次数最小化，同时最大化每次迭代的结果相关性。 实现这一点的一种技术是使用贝叶斯分类器来处理具有不同策略的正反馈示例。 另外，使用查询优化技术来针对用户对其反馈的预期查询进行定位。 这些技术进一步提高了相关性反馈的准确性和可用性。 本摘要本身并不旨在限制本专利的范围。 在所附权利要求中指出了本发明的范围。

    Relevance maximizing, iteration minimizing, relevance-feedback, content-based image retrieval (CBIR)
    5.
    发明申请
    Relevance maximizing, iteration minimizing, relevance-feedback, content-based image retrieval (CBIR) 有权
    相关性最大化，迭代最小化，相关性反馈，基于内容的图像检索（CBIR）

    公开(公告)号：US20050131951A1

    公开(公告)日：2005-06-16

    申请号：US11042456

    申请日：2005-01-25

    申请人： Hong-Jiang Zhang ,  Zhong Su ,  Xingquan Zhu

    发明人： Hong-Jiang Zhang ,  Zhong Su ,  Xingquan Zhu

    IPC分类号： G06F17/30 ,  G06F7/00

    CPC分类号： G06F17/30256 ,  G06K9/6215 ,  G06K9/6253 ,  G06K9/6263 ,  G06K9/6278 ,  Y10S707/99931 ,  Y10S707/99932 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935 ,  Y10S707/99936 ,  Y10S707/99943 ,  Y10S707/99945 ,  Y10S707/99948

    摘要： An implementation of a technology, described herein, for relevance-feedback, content-based facilitating accurate and efficient image retrieval minimizes the number of iterations for user feedback regarding the semantic relevance of exemplary images while maximizing the resulting relevance of each iteration. One technique for accomplishing this is to use a Bayesian classifier to treat positive and negative feedback examples with different strategies. In addition, query refinement techniques are applied to pinpoint the users' intended queries with respect to their feedbacks. These techniques further enhance the accuracy and usability of relevance feedback. This abstract itself is not intended to limit the scope of this patent. The scope of the present invention is pointed out in the appending claims.

    摘要翻译： 这里描述的用于相关性反馈，基于内容的促进精确和有效的图像检索的技术的实现使得关于示例性图像的语义相关性的用户反馈的迭代次数最小化，同时最大化每次迭代的结果相关性。 实现这一点的一种技术是使用贝叶斯分类器来处理具有不同策略的正反馈示例。 另外，使用查询优化技术来针对用户对其反馈的预期查询进行定位。 这些技术进一步提高了相关性反馈的准确性和可用性。 本摘要本身并不旨在限制本专利的范围。 在所附权利要求中指出了本发明的范围。

    Relevance maximizing, iteration minimizing, relevance-feedback, content-based image retrieval (CBIR).
    6.
    发明授权
    Relevance maximizing, iteration minimizing, relevance-feedback, content-based image retrieval (CBIR). 有权
    相关性最大化，迭代最小化，相关性反馈，基于内容的图像检索（CBIR）。

    公开(公告)号：US07113944B2

    公开(公告)日：2006-09-26

    申请号：US11042456

    申请日：2005-01-25

    申请人： Hong-Jiang Zhang ,  Zhong Su ,  Xingquan Zhu

    发明人： Hong-Jiang Zhang ,  Zhong Su ,  Xingquan Zhu

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30256 ,  G06K9/6215 ,  G06K9/6253 ,  G06K9/6263 ,  G06K9/6278 ,  Y10S707/99931 ,  Y10S707/99932 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935 ,  Y10S707/99936 ,  Y10S707/99943 ,  Y10S707/99945 ,  Y10S707/99948

    摘要： An implementation of a technology, described herein, for relevance-feedback, content-based facilitating accurate and efficient image retrieval minimizes the number of iterations for user feedback regarding the semantic relevance of exemplary images while maximizing the resulting relevance of each iteration. One technique for accomplishing this is to use a Bayesian classifier to treat positive and negative feedback examples with different strategies. In addition, query refinement techniques are applied to pinpoint the users' intended queries with respect to their feedbacks. These techniques further enhance the accuracy and usability of relevance feedback. This abstract itself is not intended to limit the scope of this patent. The scope of the present invention is pointed out in the appending claims.

    摘要翻译： 这里描述的用于相关性反馈，基于内容的促进精确和有效的图像检索的技术的实现使得关于示例性图像的语义相关性的用户反馈的迭代次数最小化，同时最大化每次迭代的结果相关性。 实现这一点的一种技术是使用贝叶斯分类器来处理具有不同策略的正反馈示例。 另外，使用查询优化技术来针对用户对其反馈的预期查询进行定位。 这些技术进一步提高了相关性反馈的准确性和可用性。 本摘要本身并不旨在限制本专利的范围。 在所附权利要求中指出了本发明的范围。

    Method and system for searching for a web document
    7.
    发明授权
    Method and system for searching for a web document 有权

    公开(公告)号：US09690855B2

    公开(公告)日：2017-06-27

    申请号：US13549416

    申请日：2012-07-14

    申请人： Sheng Hua Bao ,  Jian Chen ,  Zhong Su ,  Rui Wang

    发明人： Sheng Hua Bao ,  Jian Chen ,  Zhong Su ,  Rui Wang

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30864

    摘要： Provided is a method applied to a system including a plurality of sensors, a proxy, and a server. The method includes: measuring objects by the plurality of sensors to obtain first measurement values; computing a correlation among the first measurement values by the server based on the first measurement values; computing an actual measurement value of a second measurement value by the proxy based on the first measurement values and a given function; verifying the plurality of sensors by setting one or more sensors as verification target sensors in turn by the server at predetermined timing; computing a predicted value of the second measurement value by the server based on the correlation and the first measurement values obtained from the other sensors; and outputting the predicted value of the second measurement value instead of the actual measurement value thereof at least during the verification of the verification target sensors.

    Method and system for identifying advertisement in web page
    8.
    发明授权
    Method and system for identifying advertisement in web page 有权
    在网页中识别广告的方法和系统

    公开(公告)号：US08869025B2

    公开(公告)日：2014-10-21

    申请号：US12893187

    申请日：2010-09-29

    申请人： Shenghua Bao ,  Zhong Su ,  Li Zhang ,  Xiao Xun Zhang

    发明人： Shenghua Bao ,  Zhong Su ,  Li Zhang ,  Xiao Xun Zhang

    IPC分类号： G06F17/00 ,  G06Q30/02 ,  G06F17/30

    CPC分类号： G06Q30/0277 ,  G06F17/30908 ,  G06Q30/02

    摘要： A method, system and computer program product for identifying an advertisement in a web page. The method includes the steps of: receiving a sample page; analyzing a source code of the sample page to obtain a node feature of the sample page; analyzing the node feature using a preset rule to find a sample advertisement in the sample page; analyzing a first link of the sample advertisement to obtain a link mode of the sample advertisement; and utilizing the link mode to identify a second advertisement, where at least one of the steps is carried out using a computer device so that the advertisement in a web page is identified.

    摘要翻译： 一种用于识别网页中的广告的方法，系统和计算机程序产品。 该方法包括以下步骤：接收样本页; 分析样本页面的源代码以获得样本页面的节点特征; 使用预设规则分析节点特征以在样本页面中找到样本广告; 分析样本广告的第一链接以获得样本广告的链接模式; 以及利用所述链接模式来识别第二广告，其中使用计算机设备执行所述步骤中的至少一个，从而识别网页中的广告。

    Automatically adjusting a webpage
    9.
    发明授权
    Automatically adjusting a webpage 失效
    自动调整网页

    公开(公告)号：US08489985B2

    公开(公告)日：2013-07-16

    申请号：US13170778

    申请日：2011-06-28

    申请人： Shenghua Bao ,  Jian Chen ,  Zhong Su ,  Chunhua Tian ,  Dong Wang

    发明人： Shenghua Bao ,  Jian Chen ,  Zhong Su ,  Chunhua Tian ,  Dong Wang

    IPC分类号： G06F17/00

    CPC分类号： G06F17/30905

    摘要： A solution is provided for automatically adjusting a webpage. According to the method of the present invention it can be automatically learned what the user's historical browsing behaviors are and thereby predict which block in the webpage would interest the user more so that it would be the one to be browsed and then adjust display of the block accordingly. Thus, with the present invention, limited screen resources can be utilized to more efficiently display the content that would interest a user when the user browses a webpage. A system for automatically adjusting a webpage and a computer readable article of manufacture tangibly embodying non-transitory computer readable instructions which, when executed, cause a computer to carry out the steps of a method for automatically adjusting a webpage, are also provided.

    摘要翻译： 提供了一种自动调整网页的解决方案。 根据本发明的方法，可以自动地了解用户的历史浏览行为，从而预测网页中的哪个块将更多地感兴趣用户，使得它将被浏览，然后调整块的显示 相应地。 因此，利用本发明，可以利用有限的屏幕资源来更有效地显示当用户浏览网页时对用户感兴趣的内容。 一种用于自动调整网页的系统和一种有形地体现非瞬时计算机可读指令的计算机可读制品，当被执行时，使得计算机执行自动调整网页的方法的步骤。

    Image search using face detection
    10.
    发明授权
    Image search using face detection 失效
    使用脸部检测的图像搜索

    公开(公告)号：US08285713B2

    公开(公告)日：2012-10-09

    申请号：US12206147

    申请日：2008-09-08

    申请人： Jing Luo ,  Xiao Xun Zhang ,  Zhong Su

    发明人： Jing Luo ,  Xiao Xun Zhang ,  Zhong Su

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30265 ,  G06F17/30247

    摘要： An image search method and system using face detection, begins with receiving a query submitted by a user. Next a query word is searched in the query from an image resource using an image search engine to obtain an initial image collection. Any faces are detected in each image in the initial image collection which has been searched. A search for the query word in a text surrounding each image having the face in the initial image collection is performed. A determination is made whether the query word indicates at least one person's name in the surrounding text matching the query word. An image an image in the initial image collection is returned to a user in which the face is included and the query word in the surrounding text indicates the person's name.

    摘要翻译： 使用人脸检测的图像搜索方法和系统开始于接收用户提交的查询。 接下来，使用图像搜索引擎从图像资源在查询中搜索查询词以获得初始图像集合。 在搜索的初始图像集合中的每个图像中检测到任何面部。 执行在初始图像集合中具有面部的每个图像周围的文本中的查询词的搜索。 确定查询词是否指示与查询词匹配的周围文本中的至少一个人的姓名。 将初始图像集合中的图像的图像返回给包含脸部的用户，并且周围文本中的查询词表示该人的姓名。