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公开(公告)号：US20150334458A1
公开(公告)日：2015-11-19
申请号：US14321017
申请日：2014-07-01
Applicant: Cisco Technology Inc.
Inventor： Prabhakar Srinivasan , Trevor Smith , Nicholas Ashton Hall , Trevor Whinmill
IPC: H04N21/442 , H04N21/466 , H04N21/482
CPC classification number: H04N21/4751 , H04N21/44222 , H04N21/466 , H04N21/4667 , H04N21/482
Abstract: A method and system for audience segmentation is described, the method and system including preparing a plurality of guidebooks of prior probability distributions for content items and user profile attributes, the prior probabilities and user profile attributes being extractable from within audience measurement data, receiving raw audience measurement data, analyzing, at a processor, the received raw audience measurement data using the prepared plurality of guidebooks, generating a plurality of clusters of data per user household as a result of the analyzing, correlating viewing activity to each cluster within an identified household, predicting a profile of a viewer corresponding to each cluster within the identified household, applying classifier rules in order to assign viewing preference tags to each predicted profile, and assigning each predicted profile viewing preferences based on the viewing preference tags assigned to that profile Related systems, methods, and apparatus are also described.
Abstract translation: 描述了用于观众分割的方法和系统，所述方法和系统包括准备多个针对内容项目和用户简档属性的先验概率分布指南，可以从观众测量数据中提取先验概率和用户简档属性，接收原始受众 测量数据，在处理器处，使用所准备好的多本指南对所接收的原始受众测量数据进行分析，作为分析结果，为每个用户家庭生成多个数据群集，将观看活动与所识别的家庭内的每个群集相关联， 预测对应于所识别的家庭内的每个群集的观众的个人资料，应用分类规则以便将观看偏好标签分配给每个预测的个人资料，以及基于分配给该个人资料的观看偏好标签来分配每个预测的个人资料观看偏好相关系统， 方法和装置等 如此描述。
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公开(公告)号：US20150379330A1
公开(公告)日：2015-12-31
申请号：US14453967
申请日：2014-08-07
Applicant: Cisco Technology Inc.
Inventor： Prabhakar Srinivasan , Pete Rai
CPC classification number: G06K9/00261 , G06K9/00926 , G06K9/4652
Abstract: 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.
Abstract translation: 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。
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公开(公告)号：US09864900B2
公开(公告)日：2018-01-09
申请号：US14453967
申请日：2014-08-07
Applicant: Cisco Technology Inc.
Inventor： Prabhakar Srinivasan , Pete Rai
CPC classification number: G06K9/00261 , G06K9/00926 , G06K9/4652
Abstract: 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.
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