Patents by Inventor Chin-Ting Ko

Chin-Ting Ko has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • CLASSIFYING SEGMENTS OF MEDIA CONTENT USING CLOSED CAPTIONING
    Publication number: 20230353797
    Abstract: In one aspect, an example method includes (i) retrieving, from a text index, closed captioning repetition data for a segment of a sequence of media content; (ii) generating features using the closed captioning repetition data; (iii) providing the features as input to a classification model, wherein the classification model is configured to output classification data indicative of a likelihood of the features being characteristic of a program segment; (iv) obtaining the classification data output by the classification model; (v) determining a prediction of whether the segment is a program segment using the classification data; and (vi) storing the prediction for the segment in a database.
    Type: Application
    Filed: July 7, 2023
    Publication date: November 2, 2023
    Inventors: Aneesh Vartakavi, Lakshika Balasuriya, Chin-Ting Ko
  • Classifying segments of media content using closed captioning
    Patent number: 11736744
    Abstract: In one aspect, an example method includes (i) retrieving, from a text index, closed captioning repetition data for a segment of a sequence of media content; (ii) generating features using the closed captioning repetition data; (iii) providing the features as input to a classification model, wherein the classification model is configured to output classification data indicative of a likelihood of the features being characteristic of a program segment; (iv) obtaining the classification data output by the classification model; (v) determining a prediction of whether the segment is a program segment using the classification data; and (vi) storing the prediction for the segment in a database.
    Type: Grant
    Filed: July 8, 2022
    Date of Patent: August 22, 2023
    Assignee: Gracenote, Inc.
    Inventors: Aneesh Vartakavi, Lakshika Balasuriya, Chin-Ting Ko
  • Classifying Segments of Media Content Using Closed Captioning
    Publication number: 20220345759
    Abstract: In one aspect, an example method includes (i) retrieving, from a text index, closed captioning repetition data for a segment of a sequence of media content; (ii) generating features using the closed captioning repetition data; (iii) providing the features as input to a classification model, wherein the classification model is configured to output classification data indicative of a likelihood of the features being characteristic of a program segment; (iv) obtaining the classification data output by the classification model; (v) determining a prediction of whether the segment is a program segment using the classification data; and (vi) storing the prediction for the segment in a database.
    Type: Application
    Filed: July 8, 2022
    Publication date: October 27, 2022
    Inventors: Aneesh Vartakavi, Lakshika Balasuriya, Chin-Ting Ko
  • Classifying segments of media content using closed captioning
    Patent number: 11418821
    Abstract: In one aspect, an example method includes (i) retrieving, from a text index, closed captioning repetition data for a segment of a sequence of media content; (ii) generating features using the closed captioning repetition data; (iii) providing the features as input to a classification model, wherein the classification model is configured to output classification data indicative of a likelihood of the features being characteristic of a program segment; (iv) obtaining the classification data output by the classification model; (v) determining a prediction of whether the segment is a program segment using the classification data; and (vi) storing the prediction for the segment in a database.
    Type: Grant
    Filed: June 25, 2021
    Date of Patent: August 16, 2022
    Assignee: Gracenote, Inc.
    Inventors: Aneesh Vartakavi, Lakshika Balasuriya, Chin-Ting Ko
  • Classifying Segments of Media Content Using Closed Captioning
    Publication number: 20220256209
    Abstract: In one aspect, an example method includes (i) retrieving, from a text index, closed captioning repetition data for a segment of a sequence of media content; (ii) generating features using the closed captioning repetition data; (iii) providing the features as input to a classification model, wherein the classification model is configured to output classification data indicative of a likelihood of the features being characteristic of a program segment; (iv) obtaining the classification data output by the classification model; (v) determining a prediction of whether the segment is a program segment using the classification data; and (vi) storing the prediction for the segment in a database.
    Type: Application
    Filed: June 25, 2021
    Publication date: August 11, 2022
    Inventors: Aneesh Vartakavi, Lakshika Balasuriya, Chin-Ting Ko