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    • 2. 发明申请
    • Image-Based CAPTCHA Exploiting Context in Object Recognition
    • 基于图像的CAPTCHA探索对象识别中的上下文
    • US20110208716A1
    • 2011-08-25
    • US12709311
    • 2010-02-19
    • Jia LiuBin Benjamin ZhuQiujie LiShipeng LiNing Xu
    • Jia LiuBin Benjamin ZhuQiujie LiShipeng LiNing Xu
    • G06F17/30G06K9/00
    • G06F21/36G06F17/30247G06T7/11G06T7/194G06T11/60G06T2210/22
    • Techniques for an image-based CAPTCHA for object recognition are described. The disclosure describes adding images to a database by collecting images by querying descriptive keywords to an image search engine or crawling images from the Internet.The disclosure describes generating the image-based CAPTCHA. The image is retrieved from the database, along with objects having significant values. An object is cropped from its image. The portion on the image where the object has been cropped is filled with image inpainting. The process obtains other objects from the database. The object is mixed among the other objects to from a set of candidate objects. A user is asked to select “the object” from the set of candidate objects that fits or matches the image. The image-based CAPTCHA evaluates whether a response, the selection, is from a human or a bot.
    • 描述了用于对象识别的基于图像的CAPTCHA的技术。 本公开内容描述了通过向图像搜索引擎查询描述性关键词或从因特网爬行图像来收集图像来向图像数据库添加图像。 该公开内容描述了生成基于图像的CAPTCHA。 从数据库中检索图像以及具有重要值的对象。 一个物体从其图像中裁剪出来。 被裁剪对象的图像部分填充有图像修复。 该进程从数据库获取其他对象。 该对象在其他对象之间从一组候选对象中进行混合。 要求用户从适合或匹配图像的候选对象集中选择“对象”。 基于图像的CAPTCHA评估响应,选择是来自人还是机器人。
    • 3. 发明申请
    • TEARING AND CONFORMAL TRANSFORMATION HUMAN INTERACTIVE PROOF
    • 倾听和一致的转换人际交往证据
    • US20110072498A1
    • 2011-03-24
    • US12563977
    • 2009-09-21
    • Weisheng LiBin Benjamin ZhuHai XinNing XuJia Liu
    • Weisheng LiBin Benjamin ZhuHai XinNing XuJia Liu
    • H04L9/32
    • G06F21/36G06F2221/2133
    • The HIP creation technique described herein pertains to a technique for creating a human interactive proof (HIP) by applying tearing and/or a conformal transformation to a string of characters while maintaining readability of text. In one embodiment, the technique tears a character string into two or more pieces and applies conformal transformation to warp the pieces in order to create a HIP. The transformation changes the shape and orientation of the characters but preserves angles of the characters which makes it easy for humans to recognize the characters after the transformation. Other embodiments of the technique create HIPs by applying tearing only to a string of characters, or by applying conformal transformation only to the character string.
    • 本文描述的HIP创建技术涉及通过在保持文本的可读性的同时对一串字符应用撕裂和/或适形变换来创建人类交互式证明(HIP)的技术。 在一个实施例中,该技术将字符串撕裂成两个或更多个片段并且施加保形变换以扭曲片段以便创建HIP。 转换改变了角色的形状和方向,但保留了人物的角度,使得人们在转换后能够识别角色。 该技术的其他实施例通过仅对一串字符进行撕裂而创建HIP,或者仅通过对字符串应用共形变换来创建HIP。
    • 4. 发明授权
    • Tearing and conformal transformation human interactive proof
    • 撕裂和保形转换人的互动证明
    • US08359394B2
    • 2013-01-22
    • US12563977
    • 2009-09-21
    • Weisheng LiBin Benjamin ZhuHai XinNing XuJia Liu
    • Weisheng LiBin Benjamin ZhuHai XinNing XuJia Liu
    • G06F15/16G06F9/44H04L9/32
    • G06F21/36G06F2221/2133
    • The HIP creation technique described herein pertains to a technique for creating a human interactive proof (HIP) by applying tearing and/or a conformal transformation to a string of characters while maintaining readability of text. In one embodiment, the technique tears a character string into two or more pieces and applies conformal transformation to warp the pieces in order to create a HIP. The transformation changes the shape and orientation of the characters but preserves angles of the characters which makes it easy for humans to recognize the characters after the transformation. Other embodiments of the technique create HIPs by applying tearing only to a string of characters, or by applying conformal transformation only to the character string.
    • 本文描述的HIP创建技术涉及通过在保持文本的可读性的同时对一串字符应用撕裂和/或适形变换来创建人类交互式证明(HIP)的技术。 在一个实施例中,该技术将字符串撕裂成两个或更多个片段并且施加保形变换以扭曲片段以便创建HIP。 转换改变了角色的形状和方向,但保留了人物的角度,使得人们在转换后能够识别角色。 该技术的其他实施例通过仅对一串字符进行撕裂而创建HIP,或者仅通过对字符串应用共形变换来创建HIP。
    • 8. 发明授权
    • In a radio network environment, reducing interference among overlapping cells
    • 在无线电网络环境中,减少重叠小区之间的干扰
    • US09049715B2
    • 2015-06-02
    • US13414799
    • 2012-03-08
    • Ning XuJin Yang
    • Ning XuJin Yang
    • H04W36/00H04W72/04H04W16/02H04W84/04
    • H04W72/082H04W16/02H04W72/0426H04W72/0453H04W84/045
    • Disclosed is a method for a femtocell to reduce interference with an overlapping macrocell. The femtocell determines soft-frequency-reuse (“SFR”) information of the macrocell. From that information, the femtocell determines which frequency sub-channels are assigned by the macrocell for its cell-center users and which frequency sub-channels are assigned for cell-edge users. (Cell-edge users are given a higher transmission power profile in order to overcome potential interference with neighboring macrocells.) Then, the femtocell selects from the cell-center user frequency sub-channels for transmission to the femtocell's users. By transmitting on the cell-center user frequency sub-channels, the femtocell reduces interference with the overlapping macrocell. The femtocell continues to update its knowledge of the macrocell's SFR information and re-assigns frequency sub-channels as the SFR changes. If the macrocell detects that one of its cell-center users is “close enough” to the femtocell, then the macrocell re-assigns the cell-center user as a cell-edge user to overcome interference.
    • 公开了一种用于毫微微小区减少与重叠宏小区的干扰的方法。 毫微微小区确定宏小区的软频率重用(“SFR”)信息。 从该信息中,毫微微小区确定宏小区为其小区中心用户分配哪些频率子信道,哪些频率子信道被分配给小区边缘用户。 (为了克服与相邻宏小区的潜在干扰,小区边缘用户被给予更高的发射功率分布。)然后,毫微微小区从小区中心用户频率子信道中选择发送给毫微微小区的用户。 通过在小区中心用户频率子信道上进行发送,毫微微小区减少与重叠宏小区的干扰。 毫微微小区继续更新其对宏小区的SFR信息的知识,并且随着SFR改变而重新分配频率子信道。 如果宏小区检测到其小区中心用户之一对于毫微微小区“足够”,则宏小区重新分配小区中心用户作为小区边缘用户以克服干扰。
    • 10. 发明授权
    • Image-based CAPTCHA exploiting context in object recognition
    • 基于图像的CAPTCHA利用对象识别中的上下文
    • US08483518B2
    • 2013-07-09
    • US12709311
    • 2010-02-19
    • Bin ZhuJia LiuQiujie LiShipeng LiNing Xu
    • Bin ZhuJia LiuQiujie LiShipeng LiNing Xu
    • G06K9/60
    • G06F21/36G06F17/30247G06T7/11G06T7/194G06T11/60G06T2210/22
    • Techniques for an image-based CAPTCHA for object recognition are described. The disclosure describes adding images to a database by collecting images by querying descriptive keywords to an image search engine or crawling images from the Internet.The disclosure describes generating the image-based CAPTCHA. The image is retrieved from the database, along with objects having significant values. An object is cropped from its image. The portion on the image where the object has been cropped is filled with image inpainting. The process obtains other objects from the database. The object is mixed among the other objects to form a set of candidate objects. A user is asked to select “the object” from the set of candidate objects that fits or matches the image. The image-based CAPTCHA evaluates whether a response, the selection, is from a human or a bot.
    • 描述了用于对象识别的基于图像的CAPTCHA的技术。 本公开内容描述了通过向图像搜索引擎查询描述性关键词或从因特网爬行图像来收集图像来向图像数据库添加图像。 该公开内容描述了生成基于图像的CAPTCHA。 从数据库中检索图像以及具有重要值的对象。 一个物体从其图像中裁剪出来。 被裁剪对象的图像部分填充有图像修复。 该进程从数据库获取其他对象。 对象在其他对象之间进行混合以形成一组候选对象。 要求用户从适合或匹配图像的候选对象集中选择“对象”。 基于图像的CAPTCHA评估响应,选择是来自人还是机器人。