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    Real-Time Media Valuation System and Methods
    3.
    发明公开
    Real-Time Media Valuation System and Methods 审中-公开

    公开(公告)号：US20230206631A1

    公开(公告)日：2023-06-29

    申请号：US18083346

    申请日：2022-12-16

    Applicant: Blinkfire Analytics, Inc.

    Inventor： Stephen Joseph Olechowski, III ,  Nan Jiang ,  Santiago Piqueras Gozalbes ,  Ionatan Kutnowski Bloom ,  Scott Frederick Majkowski

    IPC: G06V20/40 ,  H04N21/466

    CPC classification number: G06V20/41 ,  H04N21/4662 ,  G06V20/46

    Abstract: Various exemplary embodiments include a valuation system to measure sponsorship exposure in social media, including the ability to use multiple valuation methods, such as CPV, CPM, and CPE, integrated into the valuation system, in a real-time manner, while aggregating the most up-to-date data. It may categorize the social media by media type, image, video or text, and may run different valuation strategies based on the media type. It may adapt a valuation strategy based on the source platform of the publication, detect the sponsorship exposures and inputs into the valuation method, as one or more factors to the valuations system, in the real-time matter. Additionally, granular valuation may be supported, given the output from the AI-driven system, on brand, asset, scene, and media exposure types. It also supports valuation on a real-time ad rate, a device factor, customization based on user configurations, e.g., discounted factor, and/or supports live stream.

    Sponsorship Exposure Metric System
    4.
    发明申请
    Sponsorship Exposure Metric System 有权

    公开(公告)号：US20230119208A1

    公开(公告)日：2023-04-20

    申请号：US17967784

    申请日：2022-10-17

    Applicant: Blinkfire Analytics, Inc.

    Inventor： Nan Jiang ,  Stephen Joseph Olechowski, III ,  Ashwin Krishnaswami ,  Matteo Kenji Miazzo ,  Scott Frederick Majkowski

    IPC: G06Q30/02 ,  G06N3/08

    Abstract: A sponsorship exposure metric system and a method for determining sponsorship exposure metrics are provided. An example system includes a processor configured to analyze a source media based on predetermined parameters. The source media may include a sponsor message. The processor is further configured to determine, based on the analysis, sponsorship exposure metrics associated with the sponsor message. The sponsorship exposure metrics may include at least one of the following: a brand exposure, an asset exposure, a scene type exposure, an active exposure, and a passive exposure. The processor is further configured to provide the sponsorship exposure metrics to a sponsor associated with the sponsor message.

    Auto-Review System
    6.
    发明公开
    Auto-Review System 审中-公开

    公开(公告)号：US20230169758A1

    公开(公告)日：2023-06-01

    申请号：US18070375

    申请日：2022-11-28

    Applicant: Blinkfire Analytics, Inc.

    Inventor： Stephen Joseph Olechowski, III ,  Nan Jiang ,  Ashwin Krishnaswami ,  Matteo Kenji Miazzo ,  Scott Frederick Majkowski

    IPC: G06V10/774 ,  G06V30/146

    CPC classification number: G06V10/774 ,  G06V30/147 ,  G06V2201/09

    Abstract: A cascade auto-review system for automated classification and annotation of input is provided. An example system is structure adaptive and task oriented and includes a communication module configured to receive the input including images, videos, and metadata. The system further includes a plurality of subsystems. Each subsystem has a series of successive classifier stages configured to detect tags in the input and approve or reject the tags based on the images, the videos, and the metadata. The system further includes a database to store results of the classification and annotation. The results are used to train computer vision and machine learning algorithms.

    High Accuracy image identification system
    9.
    发明申请
    High Accuracy image identification system 审中-公开
    高精度图像识别系统

    公开(公告)号：US20160239719A1

    公开(公告)日：2016-08-18

    申请号：US14998289

    申请日：2015-12-23

    Applicant: Blinkfire Analytics, Inc.

    Inventor： Stephen Joseph Olechowski, III ,  Nan Jiang ,  Alejandro Tatay de Pascual

    IPC: G06K9/32 ,  G06K9/62 ,  G06K9/68 ,  G06F17/30

    Abstract: An image identification system may identify key points on a known image and an unidentified image. One or more geometric shapes may be formed from the key points. A match between the unidentified image and the know image nay be determined by comparison of the respective geometric shapes.

    Abstract translation: 图像识别系统可以识别已知图像和未识别图像上的关键点。 可以从关键点形成一个或多个几何形状。 可以通过比较各个几何形状来确定未识别图像和知道图像之间的匹配。

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