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    METHOD AND APPARATUS FOR COMBINING METADATA AND CONTENT STREAM MANIFEST FILES FOR PROCESSING ON CLIENT DEVICES
    3.
    发明申请
    METHOD AND APPARATUS FOR COMBINING METADATA AND CONTENT STREAM MANIFEST FILES FOR PROCESSING ON CLIENT DEVICES 审中-公开

    公开(公告)号：US20200220909A1

    公开(公告)日：2020-07-09

    申请号：US16600262

    申请日：2019-10-11

    Applicant: INVIDI Technologies Corporation

    Inventor： Robert Booth ,  Alden Lloyd Peterson ,  Mike Festa ,  Matthew Oyer

    IPC: H04L29/06

    Abstract: A method and apparatus are disclosed for preparing program data for delivery to internet-enabled client devices implementing a targeted advertising scheme. A data combining apparatus (100) and associated data are provided for generating a combined manifest file. The apparatus (100) includes a demultiplexer (104), a data message handler (102), an A/V segmenter (103), and a manifest and metadata combiner (104). A content stream (105) (e.g., MPEG-TS) may be received at demultiplexer (104) and separated into data messages (i.e., metadata) and A/V content. Data message handler (102) may process the data messages into data message files (106) which include metadata. A/V segmenter (103) may segment the A/V content into A/V file chunks and generate manifest files (107) which include PTSs. Manifest and metadata combiner (104) may merge the data message files (106) and manifest files (107) into combined manifest files (108).

    METHOD AND APPARATUS TO PERFORM REAL-TIME AUDIENCE ESTIMATION AND COMMERCIAL SELECTION SUITABLE FOR TARGETED ADVERTISING
    5.
    发明申请
    METHOD AND APPARATUS TO PERFORM REAL-TIME AUDIENCE ESTIMATION AND COMMERCIAL SELECTION SUITABLE FOR TARGETED ADVERTISING 审中-公开
    执行适用于目标广告的实时感知估计和商业选择的方法和装置

    公开(公告)号：US20130254787A1

    公开(公告)日：2013-09-26

    申请号：US13663780

    申请日：2012-10-30

    Applicant: INVIDI TECHNOLOGIES CORPORATION

    Inventor： Earl Cox ,  Patrick M. Sheehan ,  Alden Lloyd Peterson ,  Michael Kouritzin ,  Surrey Kim ,  Jarett Hailes

    IPC: H04N21/442

    CPC classification number: H04N21/2668 ,  G06Q30/02 ,  H04H20/106 ,  H04H60/45 ,  H04H60/63 ,  H04N21/252 ,  H04N21/25883 ,  H04N21/44222 ,  H04N21/4661 ,  H04N21/4665 ,  H04N21/4667 ,  H04N21/812

    Abstract: A targeted advertising system selects an asset (e.g., ad) for a current user of a user equipment device (e.g., a digital set top box in a cable network). The system can first operate in a learning mode to receive user inputs and develop evidence that can characterize multiple users of the user equipment device audience. In a working mode, the system can process current user inputs to match a current user to one of the identified users of that user equipment device audience. Fuzzy logic and/or stochastic filtering may be used to improve development of the user characterizations, as well as matching of the current user to those developed characterizations. In this manner, targeting of assets can be implemented not only based on characteristics of a household but based on a current user within that household.

    Abstract translation: 目标广告系统为用户设备设备（例如，有线网络中的数字机顶盒）的当前用户选择资产（例如，广告）。 系统可以首先在学习模式下操作以接收用户输入并且开发可以表征用户设备设备受众的多个用户的证据。 在工作模式下，系统可以处理当前用户输入以将当前用户与该用户设备设备受众的所识别用户之一相匹配。 模糊逻辑和/或随机过滤可以用于改进用户表征的开发，以及当前用户与那些开发的表征的匹配。 以这种方式，资产的目标不仅可以基于家庭的特征，而且还可以基于该家庭内的当前用户。

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