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    • 4. 发明申请
    • Entropy-Reducing Low Pass Filter for Face-Detection
    • 熵减少低通滤波器进行面部检测
    • US20150379330A1
    • 2015-12-31
    • US14453967
    • 2014-08-07
    • Cisco Technology Inc.
    • Prabhakar SrinivasanPete Rai
    • G06K9/00G06K9/62
    • G06K9/00261G06K9/00926G06K9/4652
    • In one embodiment, a method for detecting faces in video image frames includes comparing a current image frame to a previously processed image frame to determine similarity, discarding the current image frame if the current image frame and the previously processed image frame are, detecting at least one detected facial image in the current image frame, comparing the at least one detected facial image to at least one most recently stored facial image stored in a most recently used (MRU) cache to determine similarity, discarding the at least one detected facial image if the at least one detected facial image and the at least one most recently stored facial image are similar; and storing the at least one detected facial image in the MRU cache if the at least one detected facial image and the at least one most recently stored facial image are not similar.
    • 在一个实施例中,用于检测视频图像帧中的面部的方法包括将当前图像帧与先前处理的图像帧进行比较以确定相似性,如果当前图像帧和先前处理的图像帧至少检测到当前图像帧,则至少检测 一个在当前图像帧中检测到面部图像,将至少一个检测到的面部图像与存储在最近使用(MRU)高速缓存中的最近存储的面部图像进行比较,以确定相似性,如果丢弃至少一个检测到的面部图像,则 所述至少一个检测到的面部图像和所述至少一个最近存储的面部图像是相似的; 以及如果所述至少一个检测到的面部图像和所述至少一个最近存储的面部图像不相似,则将所述至少一个检测到的面部图像存储在MRU缓存中。
    • 9. 发明申请
    • METHOD AND SYSTEM FOR ACQUISITION, NORMALIZATION, MATCHING, AND ENRICHMENT OF DATA
    • 收集,正规化,匹配和数据丰富的方法和系统
    • US20150193497A1
    • 2015-07-09
    • US14474153
    • 2014-08-31
    • Cisco Technology, Inc.
    • Stephen Charles TallamyLaurent Edmond Pierre BertrandPete Rai
    • G06F17/30
    • G06F17/30386G06N5/02G06N5/022
    • In one embodiment, a method includes obtaining a first data set from a first data source and a second data set from a second data source, the first data set including a first plurality of entities and the second data set including a second plurality of entities. The method also includes identifying a verified relationship between a first entity from the first plurality of entities and a second entity from the second plurality of entities and determining that a third entity from the first plurality of entities has a first same-as relationship with a fourth entity from the second plurality of entities based on one or more of the verified relationship or relationships between the first plurality of entities and the second plurality of entities. The method further includes generating first output data including the first same-as relationship.
    • 在一个实施例中,一种方法包括从第一数据源和第二数据源获得第一数据集,第一数据集包括第一多个实体,第二数据集包括第二多个实体。 该方法还包括识别来自第一多个实体的第一实体与来自第二多个实体的第二实体之间的经验证的关系,并且确定来自第一多个实体的第三实体具有与第四个实体的第一个相同的关系 基于所述第一多个实体和所述第二多个实体之间的经验证的关系或关系中的一个或多个,来自所述第二多个实体的实体。 该方法还包括产生包括第一相同关系的第一输出数据。