MEDIA SIGNATURE RECOGNITION WITH RESOURCE CONSTRAINED DEVICES

    公开(公告)号:US20230388562A1

    公开(公告)日:2023-11-30

    申请号:US17827237

    申请日:2022-05-27

    CPC classification number: H04N21/233 H04N21/812

    Abstract: The present invention recognizes media content using signatures generated by network devices with limited processing power. An audio signal is prepared for application of a discrete Fourier transform (DFT). Outputs from the DFT include real components and imaginary components that are used to calculate output magnitudes associated with frequency bins. The frequency-amplitude pairs include the output magnitudes and the associated frequency bins. A signature of the audio signal is generated by selecting a predetermined number of frequency-amplitude pairs having dominant output magnitudes. The network devices that generate the signatures may transmit the signatures to a server for analysis. The server may trigger actions in response to detecting known content based on the received signatures matching known signatures.

    Media signature recognition with resource constrained devices

    公开(公告)号:US12126846B2

    公开(公告)日:2024-10-22

    申请号:US17827237

    申请日:2022-05-27

    CPC classification number: H04N21/233 H04N21/812

    Abstract: The present invention recognizes media content using signatures generated by network devices with limited processing power. An audio signal is prepared for application of a discrete Fourier transform (DFT). Outputs from the DFT include real components and imaginary components that are used to calculate output magnitudes associated with frequency bins. The frequency-amplitude pairs include the output magnitudes and the associated frequency bins. A signature of the audio signal is generated by selecting a predetermined number of frequency-amplitude pairs having dominant output magnitudes. The network devices that generate the signatures may transmit the signatures to a server for analysis. The server may trigger actions in response to detecting known content based on the received signatures matching known signatures.

    DETECTING CONTENT OF INTEREST IN STREAMING MEDIA

    公开(公告)号:US20250036682A1

    公开(公告)日:2025-01-30

    申请号:US18913818

    申请日:2024-10-11

    Abstract: The present invention recognizes media content using signatures generated by network devices with limited processing power. A signature comprises a first set of frequency-amplitude pairs associated with a first piece of content. The signature is compared with stored signatures corresponding to known content. Each of the stored signatures comprises a stored set of frequency-amplitude pairs. The first piece of content is identified as being or including known content in response to the first signature matching a stored signature.

    Detecting content of interest in streaming media

    公开(公告)号:US12141201B2

    公开(公告)日:2024-11-12

    申请号:US17827211

    申请日:2022-05-27

    Abstract: The present invention recognizes media content using signatures generated by network devices with limited processing power. A signature comprises a first set of frequency-amplitude pairs associated with a first piece of content. The signature is compared with stored signatures corresponding to known content. Each of the stored signatures comprises a stored set of frequency-amplitude pairs. The first piece of content is identified as being or including known content in response to the first signature matching a stored signature.

    MEDIA SIGNATURE RECOGNITION WITH RESOURCE CONSTRAINED DEVICES

    公开(公告)号:US20250016388A1

    公开(公告)日:2025-01-09

    申请号:US18895838

    申请日:2024-09-25

    Abstract: The present invention recognizes media content using signatures generated by network devices with limited processing power. An audio signal is prepared for application of a discrete Fourier transform (DFT). Outputs from the DFT include real components and imaginary components that are used to calculate output magnitudes associated with frequency bins. The frequency-amplitude pairs include the output magnitudes and the associated frequency bins. A signature of the audio signal is generated by selecting a predetermined number of frequency-amplitude pairs having dominant output magnitudes. The network devices that generate the signatures may transmit the signatures to a server for analysis. The server may trigger actions in response to detecting known content based on the received signatures matching known signatures.

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