Human performance in human interactive proofs using partial credit
    1.
    发明授权
    Human performance in human interactive proofs using partial credit 有权
    人类在使用部分信用的互动证明中的表现

    公开(公告)号:US08209741B2

    公开(公告)日:2012-06-26

    申请号:US11856362

    申请日:2007-09-17

    IPC分类号: G06F7/04

    CPC分类号: G06F21/36 G06F2221/2133

    摘要: A system and method that facilitates and effectuates distinguishing a human from a non-human user. A human interactive proof (HIP) employs a partial credit algorithm in order to allow a user to make one or more mistakes during consecutive HIP challenges and still be identified as a human. The algorithm assigns a user partial credit based upon getting part of the challenge incorrect. The partial credit is tracked and if during one or more consecutive subsequent challenges the same user gets a portion of the challenge incorrect again, they can still be identified as human.

    摘要翻译: 促进和实现将人与非人类用户区分开的系统和方法。 人类交互式证明(HIP)采用部分信用算法,以允许用户在连续的HIP挑战期间发生一个或多个错误,并且仍然被识别为人。 该算法基于获得部分挑战而分配用户部分信用不正确。 跟踪部分功劳,如果在一个或多个连续的后续挑战中,同一用户再次获得挑战的一部分不正确,则仍然可以将其识别为人。

    Interest aligned manual image categorization for human interactive proofs
    2.
    发明授权
    Interest aligned manual image categorization for human interactive proofs 有权
    兴趣对齐手动图像分类为人类互动证明

    公开(公告)号:US08104070B2

    公开(公告)日:2012-01-24

    申请号:US11856371

    申请日:2007-09-17

    IPC分类号: G06F7/04

    CPC分类号: H04L63/10 G06F21/36 H04L63/08

    摘要: A system and method that facilitates and effectuates distinguishing a human from a non-human user. A human interactive proof (HIP) employs images from a large private database of manually categorized images to display as part of a Turing test challenge. The private database contains a sufficient quantity of images, such that the more economical manner to pass the HIP is to employ a human to take the challenge. The owner of the private database makes the database available to the presenter of the HIP due to an alignment of interests between both parties. The HIP is displayed with ads on behalf of the owner of the private database and the presenter of the HIP gains access to a large quantity of private manually categorized images.

    摘要翻译: 促进和实现将人与非人类用户区分开的系统和方法。 人类交互式证明(HIP)使用来自手动分类图像的大型私人数据库的图像作为图灵测试挑战的一部分显示。 私人数据库包含足够数量的图像,以便通过HIP的更经济的方式是采用人类来应对挑战。 由于双方之间的利益一致,私人数据库的所有者使数据库可供HIP主持人使用。 HIP与私人数据库的所有者一起显示广告,并且HIP的主持人可以访问大量私人手动分类的图像。

    INTEREST ALIGNED MANUAL IMAGE CATEGORIZATION FOR HUMAN INTERACTIVE PROOFS
    4.
    发明申请
    INTEREST ALIGNED MANUAL IMAGE CATEGORIZATION FOR HUMAN INTERACTIVE PROOFS 有权
    用于人际交往项目的兴趣对齐手动图像分类

    公开(公告)号:US20090077629A1

    公开(公告)日:2009-03-19

    申请号:US11856371

    申请日:2007-09-17

    IPC分类号: G06F7/04

    CPC分类号: H04L63/10 G06F21/36 H04L63/08

    摘要: A system and method that facilitates and effectuates distinguishing a human from a non-human user. A human interactive proof (HIP) employs images from a large private database of manually categorized images to display as part of a Turing test challenge. The private database contains a sufficient quantity of images, such that the more economical manner to pass the HIP is to employ a human to take the challenge. The owner of the private database makes the database available to the presenter of the HIP due to an alignment of interests between both parties. The HIP is displayed with ads on behalf of the owner of the private database and the presenter of the HIP gains access to a large quantity of private manually categorized images.

    摘要翻译: 促进和实现将人与非人类用户区分开的系统和方法。 人类交互式证明(HIP)使用来自手动分类图像的大型私人数据库的图像作为图灵测试挑战的一部分显示。 私人数据库包含足够数量的图像,以便通过HIP的更经济的方式是采用人类来应对挑战。 由于双方之间的利益一致,私人数据库的所有者使数据库可供HIP主持人使用。 HIP与私人数据库的所有者一起显示广告,并且HIP的主持人可以访问大量私人手动分类的图像。

    DOMAIN NAME CACHE CONTROL
    5.
    发明申请
    DOMAIN NAME CACHE CONTROL 有权
    域名缓存控制

    公开(公告)号:US20090210526A1

    公开(公告)日:2009-08-20

    申请号:US12031105

    申请日:2008-02-14

    IPC分类号: G06F15/173

    摘要: Domain name caching is controlled by adding a nonce to a domain name to force propagation of lookup to an authoritative server or service. Desired caching behavior is dictated by controlling when a new and unique nonce-bearing name is created. For example, caching can be completely eliminated by generating a new nonce-bearing name for every request. While a nonce can simply correspond to a random or pseudo random value, it can also be time based. Furthermore, nonces can be phase or time shifted to limit authoritative server load as well as improve response time.

    摘要翻译: 通过将域名添加到域名来强制将查询传播到权威服务器或服务来控制域名缓存。 期望的缓存行为是通过控制何时创建新的和唯一的不占用名称来决定的。 例如,可以通过为每个请求生成一个新的nonce-bearing名称来完全消除缓存。 虽然随机数可以简单地对应于随机值或伪随机值,但也可以基于时间。 此外,随机可以是相位或时间偏移以限制权威服务器负载以及改善响应时间。

    HUMAN PERFORMANCE IN HUMAN INTERACTIVE PROOFS USING PARTIAL CREDIT
    8.
    发明申请
    HUMAN PERFORMANCE IN HUMAN INTERACTIVE PROOFS USING PARTIAL CREDIT 有权
    人类交往项目使用部分信用的人性化

    公开(公告)号:US20090077628A1

    公开(公告)日:2009-03-19

    申请号:US11856362

    申请日:2007-09-17

    IPC分类号: G06F7/04

    CPC分类号: G06F21/36 G06F2221/2133

    摘要: A system and method that facilitates and effectuates distinguishing a human from a non-human user. A human interactive proof (HIP) employs a partial credit algorithm in order to allow a user to make one or more mistakes during consecutive HIP challenges and still be identified as a human. The algorithm assigns a user partial credit based upon getting part of the challenge incorrect. The partial credit is tracked and if during one or more consecutive subsequent challenges the same user gets a portion of the challenge incorrect again, they can still be identified as human.

    摘要翻译: 促进和实现将人与非人类用户区分开的系统和方法。 人类交互式证明(HIP)采用部分信用算法,以允许用户在连续的HIP挑战期间发生一个或多个错误,并且仍然被识别为人。 该算法基于获得部分挑战而分配用户部分信用不正确。 跟踪部分功劳,如果在一个或多个连续的后续挑战中,同一用户再次获得挑战的一部分不正确,则仍然可以将其识别为人。

    COUNTERACTING RANDOM GUESS ATTACKS AGAINST HUMAN INTERACTIVE PROOFS WITH TOKEN BUCKETS
    9.
    发明申请
    COUNTERACTING RANDOM GUESS ATTACKS AGAINST HUMAN INTERACTIVE PROOFS WITH TOKEN BUCKETS 审中-公开
    反对随身携带的攻击与人造卡通的人际交往项目

    公开(公告)号:US20090076965A1

    公开(公告)日:2009-03-19

    申请号:US11856367

    申请日:2007-09-17

    IPC分类号: G06F21/22

    摘要: A system and method that facilitates and effectuates distinguishing a human from a non-human user. A human interactive proof (HIP) employs a token bucket algorithm in order to reduce the success rate for a non-human user employing a guessing or artificial intelligence to solve a substantial number of HIP challenges. The algorithm can employ token buckets associated with IP address and user session from which the user is attempting to solve the HIP challenge. If a token bucket is empty the algorithm can treat a correct response as incorrect and refill a portion of the buckets for a further attempt. This forces two correct responses to be received by a user within the refill quantity for the users bucket(s) before the user is identified as human.

    摘要翻译: 促进和实现将人与非人类用户区分开的系统和方法。 人类交互式证明(HIP)采用令牌桶算法,以减少使用猜测或人工智能解决大量HIP挑战的非人类用户的成功率。 该算法可以使用与用户尝试解决HIP挑战的IP地址和用户会话相关联的令牌桶。 如果令牌桶为空,则算法可以将正确的响应视为不正确的,并将一部分桶重新填充以进一步尝试。 这迫使用户在用户被识别为人之前在用户桶的重新填充量内由用户接收到两个正确的响应。

    PLATFORM FOR THE PRODUCTION OF SEAMLESS ORTHOGRAPHIC IMAGERY
    10.
    发明申请
    PLATFORM FOR THE PRODUCTION OF SEAMLESS ORTHOGRAPHIC IMAGERY 审中-公开
    用于生产无缝印刷图像的平台

    公开(公告)号:US20090232415A1

    公开(公告)日:2009-09-17

    申请号:US12047604

    申请日:2008-03-13

    IPC分类号: G06K9/36

    摘要: Systems and methods are provided for the production of seamless, geo-referenced orthographic images that can comprise a composite of two or more underlying images. Illustratively, an exemplary image processing environment comprises an image processing engine and an instruction set comprising at least one instruction to instruct the image processing engine to process data representative of two or more images. Illustratively, the two or more images can comprise data representative of correspondence points between the two or more images and the underlying area (e.g., ground control points). Illustratively, the exemplary image processing engine can identify features that the overlapping photos have in common (e.g., feature match points) and place and re-project (e.g., distort) each of the two or more images to achieve a selected balance of correct position (e.g., based on ground control points) and seamless overlap (e.g., based on feature match points) which can be composited into a single image.

    摘要翻译: 提供了系统和方法用于生产无缝地理参考的正交图像,其可以包括两个或更多个底层图像的复合物。 示例性地,示例性图像处理环境包括图像处理引擎和包括指示图像处理引擎处理表示两个或更多个图像的数据的至少一个指令的指令集。 说明性地,两个或多个图像可以包括表示两个或更多个图像与下方区域(例如,地面控制点)之间的对应点的数据。 示例性地,示例性图像处理引擎可以识别重叠的照片具有共同的特征(例如,特征匹配点),并且放置并重新投影(例如,扭曲)两个或更多图像中的每一个以实现所选择的正确位置的平衡 (例如,基于地面控制点)和无缝重叠(例如,基于特征匹配点),其可以被合成为单个图像。