DIGITAL RIGHTS MANAGEMENT SYSTEM AND METHOD FOR PROTECTING DIGITAL CONTENT
    1.
    发明申请
    DIGITAL RIGHTS MANAGEMENT SYSTEM AND METHOD FOR PROTECTING DIGITAL CONTENT 审中-公开
    数字权限管理系统和保护数字内容的方法

    公开(公告)号:US20120303967A1

    公开(公告)日:2012-11-29

    申请号:US13115788

    申请日:2011-05-25

    IPC分类号: G06F12/14

    摘要: A digital content management system operative in a distributed network includes a SDP server and a client. The SDP server includes a content issuer and a right issuer. The content issuer is configured to randomly generate a first key, convert the first key to a second key by a conversion function, and encrypt a portion of a digital content item with the second key to form an encrypted portion, wherein the encrypted portion has its corresponding character code. The right issuer is configured to generate a right object, which includes the first key, and encrypt the right object.

    摘要翻译: 在分布式网络中操作的数字内容管理系统包括SDP服务器和客户机。 SDP服务器包括内容发行者和权利发行者。 内容发行者被配置为随机生成第一密钥,通过转换功能将第一密钥转换为第二密钥,并且利用第二密钥对数字内容项的一部分进行加密以形成加密部分,其中,加密部分具有 相应的字符代码。 右侧发行者被配置为生成包含第一个密钥的正确对象,并加密正确的对象。

    BARRIER AND PRIMING COMPOSITIONS
    4.
    发明申请
    BARRIER AND PRIMING COMPOSITIONS 审中-公开
    障碍物和预制组合物

    公开(公告)号:US20120296030A1

    公开(公告)日:2012-11-22

    申请号:US13521866

    申请日:2011-01-20

    申请人: Chih-Chung Hsu

    发明人: Chih-Chung Hsu

    IPC分类号: C09D127/14 C09D133/12

    摘要: The present application is directed to a primer composition comprising a fluorinated polymer and a nitrogen containing polymer. In some embodiments, the fluorinated polymer is a copolymer. In some embodiments, the fluorinated polymer is chlorinated. In some embodiments, the nitrogen containing polymer is amino functional, and in some embodiments, the nitrogen containing polymer is amide functional.

    摘要翻译: 本申请涉及包含含氟聚合物和含氮聚合物的底漆组合物。 在一些实施方案中,氟化聚合物是共聚物。 在一些实施方案中,氟化聚合物被氯化。 在一些实施方案中,含氮聚合物是氨基官能团,在一些实施方案中,含氮聚合物是酰胺官能团。

    Method and system for example-based face hallucination
    5.
    发明授权
    Method and system for example-based face hallucination 有权
    基于示例的面部幻觉的方法和系统

    公开(公告)号:US08488913B2

    公开(公告)日:2013-07-16

    申请号:US12858442

    申请日:2010-08-18

    CPC分类号: G06K9/00275

    摘要: A method for example-based face hallucination uses manifold learning to project a plurality of training images in a training database and an input low resolution (LR) face image into a same manifold domain, then iteratively refines the reconstruction basis by selecting a training set having k projected training images which best match the parts of the projected LR face image, where k≦N and N is the number of projected training images. Through the best-match training set, a set of prototype faces are learned, and the set of prototype faces are used as the reconstruction basis to reconstruct a high resolution face image for the input LR face image.

    摘要翻译: 一种用于基于示例的面部幻觉的方法使用流式学习将训练数据库中的多个训练图像和输入低分辨率(LR)面部图像投影到同一歧管区域中,然后通过选择具有 k个投影训练图像,其与投影的LR脸部图像的部分最匹配,其中k @ N和N是投影的训练图像的数量。 通过最佳匹配训练集,学习了一组原型面,将原始面组作为重建基础,为输入的LR脸部图像重建高分辨率脸部图像。

    Method And System For Example-Based Face Hallucination
    6.
    发明申请
    Method And System For Example-Based Face Hallucination 有权
    基于示例的脸部幻觉的方法和系统

    公开(公告)号:US20110305404A1

    公开(公告)日:2011-12-15

    申请号:US12858442

    申请日:2010-08-18

    IPC分类号: G06K9/40

    CPC分类号: G06K9/00275

    摘要: A method for example-based face hallucination uses manifold learning to project a plurality of training images in a training database and an input low resolution (LR) face image into a same manifold domain, then iteratively refines the reconstruction basis by selecting a training set having k projected training images which best match the parts of the projected LR face image, where k≦N and N is the number of projected training images. Through the best-match training set, a set of prototype faces are learned, and the set of prototype faces are used as the reconstruction basis to reconstruct a high resolution face image for the input LR face image.

    摘要翻译: 一种用于基于示例的面部幻觉的方法使用流式学习将训练数据库中的多个训练图像和输入低分辨率(LR)面部图像投影到同一歧管区域中,然后通过选择具有 k个与投影的LR脸部图像的部分最匹配的投影训练图像,其中k≦̸ N和N是投影训练图像的数量。 通过最佳匹配训练集,学习了一组原型面,将原始面组作为重建基础,为输入的LR脸部图像重建高分辨率脸部图像。