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公开(公告)号:US20240394341A1
公开(公告)日:2024-11-28
申请号:US18795066
申请日:2024-08-05
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Di Chou , James Ho , Chinglung Wen
Abstract: Multimedia piracy detection (e.g., using a computerized tool) is enabled. A system can comprise a memory that stores executable instructions that, when executed by a processor, facilitate performance of operations, comprising: determining, based on a time domain and/or a frequency domain associated with original digital media content (e.g., and respective digital transportation) and using a counterfeit digital media content model, whether digital media content comprises a counterfeit of an authorized release of the original digital media content, wherein the counterfeit digital media content model has been generated based on machine learning applied to time domains and/or frequency domains of past original digital media content (e.g., and respective digital transportation) and to past digital media content (e.g., counterfeit digital media content) (e.g., and respective digital transportation), and based on a determination that the digital media content comprises the counterfeit, flagging (and/or determining a probability that) the digital media content as counterfeit.
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公开(公告)号:US12056217B2
公开(公告)日:2024-08-06
申请号:US17517923
申请日:2021-11-03
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Di Chou , James Ho , Chinglung Wen
Abstract: Multimedia piracy detection (e.g., using a computerized tool) is enabled. A system can comprise a memory that stores executable instructions that, when executed by a processor, facilitate performance of operations, comprising: determining, based on a time domain and/or a frequency domain associated with original digital media content (e.g., and respective digital transportation) and using a counterfeit digital media content model, whether digital media content comprises a counterfeit of an authorized release of the original digital media content, wherein the counterfeit digital media content model has been generated based on machine learning applied to time domains and/or frequency domains of past original digital media content (e.g., and respective digital transportation) and to past digital media content (e.g., counterfeit digital media content) (e.g., and respective digital transportation), and based on a determination that the digital media content comprises the counterfeit, flagging (and/or determining a probability that) the digital media content as counterfeit.
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公开(公告)号:US20230137496A1
公开(公告)日:2023-05-04
申请号:US17517923
申请日:2021-11-03
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Di Chou , James Ho , Chinglung Wen
IPC: G06F21/10
Abstract: Multimedia piracy detection (e.g., using a computerized tool) is enabled. A system can comprise a memory that stores executable instructions that, when executed by a processor, facilitate performance of operations, comprising: determining, based on a time domain and/or a frequency domain associated with original digital media content (e.g., and respective digital transportation) and using a counterfeit digital media content model, whether digital media content comprises a counterfeit of an authorized release of the original digital media content, wherein the counterfeit digital media content model has been generated based on machine learning applied to time domains and/or frequency domains of past original digital media content (e.g., and respective digital transportation) and to past digital media content (e.g., counterfeit digital media content) (e.g., and respective digital transportation), and based on a determination that the digital media content comprises the counterfeit, flagging (and/or determining a probability that) the digital media content as counterfeit.
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