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    • 3. 发明授权
    • Usable security of online password management with sensor-based authentication
    • 使用基于传感器身份验证的在线密码管理的可用安全性
    • US09141779B2
    • 2015-09-22
    • US13110939
    • 2011-05-19
    • Guobin ShenFan YangLidong Zhou
    • Guobin ShenFan YangLidong Zhou
    • G06F21/00G06F21/32H04L9/32H04L9/08H04L29/06
    • G06F21/32H04L9/0866H04L9/32H04L9/3231H04L9/3271H04L63/0815H04L63/0861H04L2209/805H04L2463/082
    • A multi-party security protocol that incorporates biometric-based authentication and withstands attacks against any single party (e.g., mobile phone, cloud, or the user). The protocol involves the function split between mobile and cloud and the mechanisms to chain-hold the secrets. A key generation mechanisms binds secrets to a specific device or URL (uniform resource locator) by adding salt to a master credential. An inline CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) handling mechanism uses the same sensor modality as the authentication process, which not only improves the usability, but also facilitates the authentication process. This architecture further enhances existing overall system security (e.g., handling untrusted or compromised cloud service, phone being lost, impersonation, etc.) and also improves the usability by automatically handling the CAPTCHA.
    • 一种多方安全协议,其包含基于生物特征的身份验证,并且可以对任何一方(例如手机,云端或用户)进行攻击。 协议涉及移动和云之间的功能分割以及链接保密机制。 密钥生成机制通过向主凭证添加salt来将秘密绑定到特定设备或URL(统一资源定位符)。 内部人机识别(全面自动化公众图灵测试,告诉计算机和人员)处理机制采用与认证过程相同的传感器模式,这不仅提高了可用性,而且有助于认证过程。 该架构进一步增强了现有的整体系统安全性(例如,处理不受信任或受到损害的云服务,电话丢失,冒充等),并且还通过自动处理CAPTCHA来提高可用性。
    • 5. 发明申请
    • USABLE SECURITY OF ONLINE PASSWORD MANAGEMENT WITH SENSOR-BASED AUTHENTICATION
    • 基于传感器认证的在线密码管理的可用安全性
    • US20120297190A1
    • 2012-11-22
    • US13110939
    • 2011-05-19
    • Guobin ShenFan YangLidong Zhou
    • Guobin ShenFan YangLidong Zhou
    • H04L9/32
    • G06F21/32H04L9/0866H04L9/32H04L9/3231H04L9/3271H04L63/0815H04L63/0861H04L2209/805H04L2463/082
    • A multi-party security protocol that incorporates biometric-based authentication and withstands attacks against any single party (e.g., mobile phone, cloud, or the user). The protocol involves the function split between mobile and cloud and the mechanisms to chain-hold the secrets. A key generation mechanisms binds secrets to a specific device or URL (uniform resource locator) by adding salt to a master credential. An inline CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) handling mechanism uses the same sensor modality as the authentication process, which not only improves the usability, but also facilitates the authentication process. This architecture further enhances existing overall system security (e.g., handling untrusted or compromised cloud service, phone being lost, impersonation, etc.) and also improves the usability by automatically handling the CAPTCHA.
    • 一种多方安全协议,其包含基于生物特征的身份验证,并且可以对任何一方(例如手机,云端或用户)进行攻击。 协议涉及移动和云之间的功能分割以及链接保密机制。 密钥生成机制通过向主凭证添加salt来将秘密绑定到特定设备或URL(统一资源定位符)。 内部人机识别(全面自动化公众图灵测试,告诉计算机和人员)处理机制采用与认证过程相同的传感器模式,这不仅提高了可用性,而且有助于认证过程。 该架构进一步增强了现有的整体系统安全性(例如,处理不受信任或受到损害的云服务,电话丢失,冒充等),并且还通过自动处理CAPTCHA来提高可用性。
    • 7. 发明授权
    • Mashup application and service for wireless devices
    • Mashup应用程序和无线设备的服务
    • US08072954B2
    • 2011-12-06
    • US12140251
    • 2008-06-16
    • Guobin ShenYongguang ZhangSongwu Lu
    • Guobin ShenYongguang ZhangSongwu Lu
    • H04W4/00H04W24/00G01S1/00
    • H04W4/02H04W4/08H04W4/20H04W84/12H04W84/18
    • Described is a technology, such as implemented as social networking groupware application designed for mobile device users, that provides a data mashup service for various data types, including location dependent and mobility-aware data such as GPS location and surrounding maps. A mobile user may track the location and maps of roaming friends at runtime. To this end, a client device joins a squad of client devices that are each capable of communicating with one another over a wireless local area network (WLAN) connection. When in a squad, the client can obtain data for use as mashup information from other client devices in the squad over the WLAN connection (inter-squad). This may include intra-squad data that was obtained from a service based on information that the service received from another squad, e.g., over a WWAN connection.
    • 描述了一种技术,例如被实现为针对移动设备用户设计的社交网络组件应用,为各种数据类型提供数据混搭服务,包括位置依赖和移动感知数据,例如GPS位置和周围地图。 移动用户可以在运行时跟踪漫游朋友的位置和地图。 为此,客户端设备加入能够通过无线局域网(WLAN)连接彼此进行通信的客户端设备。 在一个小队中,客户端可以通过无线局域网连接(小队间)获取数据作为混合来自其他客户端设备的混搭信息。 这可以包括从服务中获得的小队内数据,该数据是基于服务从另一小队接收的信息,例如通过WWAN连接。
    • 9. 再颁专利
    • Method and apparatus for coding an image object of arbitrary shape
    • 用于编码任意形状的图像对象的方法和装置
    • USRE42853E1
    • 2011-10-18
    • US11561770
    • 2006-11-20
    • Guobin ShenBing ZengMing Liou
    • Guobin ShenBing ZengMing Liou
    • G06K9/36G06K9/46G06K9/34
    • H04N19/649H04N19/20H04N19/61
    • It is known to represent a square block of an image which has a maximum horizontal or vertical extension N as N vectors each representing one column or row, and encode it using an N×N discrete cosine transform matrix. We introduce a technique which transforms an input vector, or array, representing a portion of an arbitrarily-shaped object block in which the maximum horizontal or vertical extension is at most N, by adding to it additional padding elements, to produce a vector or array which can be encoded using an N×N discrete cosine transform. The padding maximises the number of transformed elements which are zero. We propose encoding arbitrarily-shaped objects based on this padding technique.
    • 已知表示具有最大水平或垂直扩展N作为每个表示一列或多行的N个向量的图像的平方块,并且使用N×N个离散余弦变换矩阵进行编码。 我们引入一种技术,其通过向其附加额外的填充元素来变换表示最大水平或垂直扩展最多为N的任意形状的对象块的一部分的输入向量或数组,以产生向量或数组 其可以使用N×N离散余弦变换进行编码。 填充最大化变换元素的数量为零。 我们提出基于这种填充技术对任意形状的对象进行编码。
    • 10. 发明授权
    • Accelerated video encoding using a graphics processing unit
    • 使用图形处理单元加速视频编码
    • US07813570B2
    • 2010-10-12
    • US10971545
    • 2004-10-22
    • Guobin ShenShipeng LiGuangping Gao
    • Guobin ShenShipeng LiGuangping Gao
    • G06K9/36
    • H04N21/4143H04N19/43H04N19/436H04N19/557H04N19/56
    • A video encoding system uses both a central processing unit (CPU) and a graphics processing unit (GPU) to perform video encoding. The system implements a technique that enables the GPU to perform motion estimation for video encoding. The technique allows the GPU to perform a motion estimation process in parallel with the video encoding process performed by the CPU. The performance of video encoding using such a system is greatly accelerated as compared to encoding using just the CPU. Also, data related to motion estimation is arranged and provided to the GPU in a way that utilizes the capabilities of the GPU. Data about video frames may be collocated to enable multiple channels of the GPU to process tasks in parallel. The depth buffer of the GPU may be used to consolidate repeated calculations and searching tasks during the motion estimation process.
    • 视频编码系统使用中央处理单元(CPU)和图形处理单元(GPU)来执行视频编码。 该系统实现了使GPU能够执行视频编码的运动估计的技术。 该技术允许GPU与由CPU执行的视频编码处理并行执行运动估计处理。 与仅使用CPU的编码相比,使用这种系统的视频编码的性能大大加快。 此外,与运动估计相关的数据以利用GPU的能力的方式被布置并提供给GPU。 关于视频帧的数据可以并置,以使GPU的多个通道并行处理任务。 GPU的深度缓冲器可以用于在运动估计过程期间合并重复计算和搜索任务。