公开(公告)号：US20220279223A1

公开(公告)日：2022-09-01

申请号：US17746094

申请日：2022-05-17

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Mostafa Tofighbakhsh ,  Stephen Blystone ,  Rittwik Jana

IPC: H04N21/234 ,  G06K9/62 ,  H04N21/25 ,  H04N21/4402 ,  H04N21/472 ,  H04N21/431 ,  G06V20/40

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system obtains a sample of a content stream directed to a user device, identifies a type of the content stream, and selects a model for recognizing objects appearing in the content stream. The system analyzes the content stream in accordance with the model to recognize the object, generates a label for the object, and associates the label with the object in the content stream. The system also delivers the content stream for presentation at the user device; the label is delivered in-line with respect to the content stream and is generated in real time with respect to the presentation. The method further includes training the model in accordance with a machine learning procedure; the model is refined based on the analyzing of the content stream. Other embodiments are disclosed.

公开(公告)号：US11363315B2

公开(公告)日：2022-06-14

申请号：US16451911

申请日：2019-06-25

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Mostafa Tofighbakhsh ,  Stephen Blystone ,  Rittwik Jana

IPC: H04N21/234 ,  G06K9/62 ,  H04N21/25 ,  H04N21/4402 ,  H04N21/472 ,  H04N21/431 ,  G06V20/40

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system obtains a sample of a content stream directed to a user device, identifies a type of the content stream, and selects a model for recognizing objects appearing in the content stream. The system analyzes the content stream in accordance with the model to recognize the object, generates a label for the object, and associates the label with the object in the content stream. The system also delivers the content stream for presentation at the user device; the label is delivered in-line with respect to the content stream and is generated in real time with respect to the presentation. The method further includes training the model in accordance with a machine learning procedure; the model is refined based on the analyzing of the content stream. Other embodiments are disclosed.