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    • 31. 发明申请
    • PERFORMING VISUAL SEARCH IN A NETWORK
    • 在网络中执行视觉搜索
    • WO2012057970A3
    • 2013-04-25
    • PCT/US2011054677
    • 2011-10-04
    • QUALCOMM INCREZNIK YURIY
    • REZNIK YURIY
    • G06F17/30G06K9/46G06K9/68
    • G06F17/30247G06K9/4671
    • In general, techniques are described for performing a visual search in a network. A client device comprising an interface, a feature extraction unit and a feature compression unit may implement various aspects of the techniques. The feature extraction unit extracts feature descriptors from an image. The feature compression unit quantizes the image feature descriptors at a first quantization level. The interface that transmits the first query data to the visual search device via the network. The feature compression unit determines second query data that augments the first query data such that when the first query data is updated with the second query data the updated first query data is representative of the image feature descriptors quantized at a second quantization level. The interface transmits the second query data to the visual search device via the network to successively refine the first query data.
    • 通常,描述了用于在网络中执行视觉搜索的技术。 包括接口,特征提取单元和特征压缩单元的客户端设备可以实现该技术的各个方面。 特征提取单元从图像中提取特征描述符。 特征压缩单元以第一量化级量化图像特征描述符。 通过网络将第一查询数据发送到可视搜索设备的接口。 特征压缩单元确定增加第一查询数据的第二查询数据,使得当用第二查询数据更新第一查询数据时,更新的第一查询数据代表以第二量化级别量化的图像特征描述符。 该接口经由网络将第二查询数据发送到视觉搜索装置,以连续细化第一查询数据。
    • 32. 发明申请
    • METHOD AND SYSTEM FOR WEBPAGE REGRESSION TESTING
    • 用于网格回归测试的方法和系统
    • WO2013003679A2
    • 2013-01-03
    • PCT/US2012044823
    • 2012-06-29
    • AMERICAN EXPRESS TRAVEL RELATEKUMAR KRISHNA BIHARINARSIPUR KESHAV AGREINER HANS-JURGEN
    • KUMAR KRISHNA BIHARINARSIPUR KESHAV AGREINER HANS-JURGEN
    • G06K9/68
    • G06K9/00442G06F11/3688G06K9/6202
    • A regression testing system comprises an automatic test tool configured to capture a first web screen shot and a second web screen shot of a webpage. where the webpage has undergone an update or edit. The regression testing system also comprises a visual comparator configured to identify similar areas in the first web screen shot and the second web screen shot. The visual comparator receives, and compares characteristics of, the web screen shots. Furthermore, the regression testing system generates a report, with marked different characteristics between the first and second web screen shots. The regression testing system identifies similar areas in the first and second web screen shots shot even if the similar areas are at different locations within the web screen shots. The comparison performed by the visual comparator includes performing a pixel comparison combined with a marking algorithm to group differences in smaller, related but separate areas.
    • 回归测试系统包括被配置为捕获网页的第一网络屏幕截图和第二网络屏幕截图的自动测试工具。 网页已经进行了更新或编辑。 回归测试系统还包括被配置为识别第一网络屏幕截图和第二网络屏幕截图中的相似区域的视觉比较器。 视觉比较器接收并比较网络屏幕截图的特征。 此外,回归测试系统生成报告,在第一个和第二个Web屏幕截图之间具有不同的特征。 回归测试系统识别第一和第二网络屏幕截图中的相似区域,即使相似的区域在网络屏幕截图内的不同位置。 由可视比较器执行的比较包括执行与标记算法组合的像素比较,以对较小的相关但分开的区域中的差异进行分组。
    • 34. 发明申请
    • SYSTEM AND METHOD FOR AUDIO MEDIA RECOGNITION
    • 用于音频媒体识别的系统和方法
    • WO2011154722A1
    • 2011-12-15
    • PCT/GB2011/051042
    • 2011-06-02
    • ADELPHOI LIMITED
    • SELBY, Alexander PaulOWEN, Mark St John
    • G10L11/00G06K9/68
    • G10L25/51G10L25/18
    • Automatic recognition of sample media content is provided, A spectrogram is generated for successive time slices of audio signal. One or more sample hash vectors are generated for a time slice by calculating ratios of magnitudes of respective frequency bins from a column for the time slice. In a primary evaluation stage an exact match of bits of the sample hash vector is performed to entries in a look-up table to identify a group of one or more reference hash vectors. In a secondary evaluation stage a degree of similarity between the sample hash vector and each of the group of reference hash vectors is performed to identify any reference hash vectors that are candidates for matching the sample media content, each reference hash vector representing a time slice of reference media content.
    • 提供样本媒体内容的自动识别,为音频信号的连续时间片生成频谱图。 通过计算来自时间片的列的相应频率仓的幅度的比例,为时间片生成一个或多个样本哈希矢量。 在主评估阶段,对查询表中的条目执行样本哈希向量的比特的精确匹配,以识别一个或多个参考哈希向量的组。 在次级评估阶段,执行样本哈希矢量与参考散列矢量组中的每一组之间的相似程度以识别作为用于匹配样本媒体内容的候选的任何参考散列向量,每个参考散列向量表示时间片 参考媒体内容。
    • 35. 发明申请
    • MULTI-BIOMETRIC IDENTIFICATION SYSTEM
    • 多生物识别系统
    • WO2011037986A3
    • 2011-03-31
    • PCT/US2010/049800
    • 2010-09-22
    • UNISYS CORPORATION
    • VICAN, Steven, E.
    • G06K9/20G06K9/68
    • An identification system for authenticating individuals may include enrolling an individual's iris images into a database for late comparison during an identification process. A security attendant may enroll the individual with a mobile device having an iris camera, which captures the individual's iris images. The attendant may also insert biographical information and a face image of the individual. When the individual may be authenticating by walking through a pedestrian lane having an iris camera identification system. The system captures the individual's iris images and compares them to previously enrolled iris images. A nearby security attendant may be alerted to individuals proceeding through a pedestrian lane who have not been previously enrolled.
    • 识别个体的识别系统可以包括将个体的虹膜图像登记到数据库中以在识别过程期间进行晚期比较。 安全服务员可以通过具有虹膜相机的移动设备来注册个人,虹膜相机捕捉个人的虹膜图像。 服务员还可以插入个人的传记信息和人脸图像。 当个体可能通过步行通过具有虹膜相机识别系统的行人通道进行认证时。 该系统捕获个人的虹膜图像,并将其与之前登记的虹膜图像进行比较。 附近的保安服务员可能会注意到通过行人专用通道前进的人员,他们之前没有登记过。
    • 38. 发明申请
    • DETECTING IRREGULARITIES
    • 检测不正当
    • WO2006100674A3
    • 2009-09-03
    • PCT/IL2006000359
    • 2006-03-21
    • YEDA RES & DEVBOIMAN ORENIRANI MICHAL
    • BOIMAN ORENIRANI MICHAL
    • G06K9/00G06K9/46G06K9/52G06K9/56G06K9/62G06K9/66G06K9/68
    • G06K9/6284G06K9/00342G06K9/6296G06T7/0004G06T7/97G06T2207/20016
    • Method and apparatus for inferring irregularities in query data relative to referential data includes attempting to compose the query data, like a puzzle, from large chunks of the referential data, and inferring irregularities in the query data based on at least the size of the matching chunks. The larger the size of a matching chunk, the more likely it is that its corresponding region in the query data is valid and not irregular. Regions in the query data which cannot be composed from the referential data, or can only be composed using small fragmented pieces and not large chunks of the referential data, are considered irregular. The method and apparatus is applicable to all types of signals, including images, video data, medical data, one-dimensional signals and multi-dimensional signals, and can be used to identify, inter alia, suspicious behaviors, suspicious objects, irregular patterns and defects in goods.
    • 用于推断查询数据相对于参照数据的不规则性的方法和装置包括尝试从参考数据的大块中构成查询数据,如拼图,以及至少基于匹配块的大小来推断查询数据中的不规则性 。 匹配块的大小越大,查询数据中对应的区域越有可能是不正规的。 不能由参考数据组成的查询数据中的区域,或只能使用小碎片而不是大块参考数据组成的区域被认为是不规则的。 该方法和装置适用于所有类型的信号,包括图像,视频数据,医疗数据,一维信号和多维信号,并且可用于识别可疑行为,可疑对象,不规则图案和 商品缺陷