公开(公告)号：US20220345759A1

公开(公告)日：2022-10-27

申请号：US17861112

申请日：2022-07-08

申请人： Gracenote, Inc.

发明人： Aneesh Vartakavi ,  Lakshika Balasuriya ,  Chin-Ting Ko

IPC分类号： H04N21/234 ,  G11B27/34 ,  G06F40/20 ,  H04N21/845

摘要： 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.

公开(公告)号：US20220264178A1

公开(公告)日：2022-08-18

申请号：US17401656

申请日：2021-08-13

申请人： Gracenote, Inc.

发明人： Amanmeet Garg ,  Sharmishtha Gupta ,  Andreas Schmidt ,  Lakshika Balasuriya ,  Aneesh Vartakavi

IPC分类号： H04N21/44 ,  H04N21/8352 ,  G06K9/62 ,  G06K9/00

摘要： In one aspect, an example method includes (i) obtaining fingerprint repetition data for a portion of video content, with the fingerprint repetition data including a list of other portions of video content matching the portion of video content and respective reference identifiers for the other portions of video content; (ii) identifying the portion of video content as a program segment rather than an advertisement segment based at least on a number of unique reference identifiers within the list of other portions of video content relative to a total number of reference identifiers within the list of other portions of video content; (iii) determining that the portion of video content corresponds to a program specified in an electronic program guide using a timestamp of the portion of video content; and (iv) storing an indication of the portion of video content in a data file for the program.

公开(公告)号：US12132953B2

公开(公告)日：2024-10-29

申请号：US17401656

申请日：2021-08-13

申请人： Gracenote, Inc.

发明人： Amanmeet Garg ,  Sharmishtha Gupta ,  Andreas Schmidt ,  Lakshika Balasuriya ,  Aneesh Vartakavi

IPC分类号： H04N21/44 ,  G06F18/25 ,  G06V20/40 ,  H04N21/8352

CPC分类号： H04N21/44008 ,  G06F18/253 ,  G06V20/41 ,  H04N21/8352

摘要： In one aspect, an example method includes (i) obtaining fingerprint repetition data for a portion of video content, with the fingerprint repetition data including a list of other portions of video content matching the portion of video content and respective reference identifiers for the other portions of video content; (ii) identifying the portion of video content as a program segment rather than an advertisement segment based at least on a number of unique reference identifiers within the list of other portions of video content relative to a total number of reference identifiers within the list of other portions of video content; (iii) determining that the portion of video content corresponds to a program specified in an electronic program guide using a timestamp of the portion of video content; and (iv) storing an indication of the portion of video content in a data file for the program.

公开(公告)号：US20240163508A1

公开(公告)日：2024-05-16

申请号：US18546386

申请日：2022-01-21

申请人： Gracenote, Inc.

发明人： Amanmeet Garg ,  Sharmishtha Gupta ,  Andreas Schmidt ,  Lakshika Balasuriya ,  Aneesh Vartakavi

IPC分类号： H04N21/44 ,  G06F18/25 ,  G06V20/40 ,  H04N21/8352

CPC分类号： H04N21/44008 ,  G06F18/253 ,  G06V20/41 ,  H04N21/8352

摘要： In one aspect, an example method includes (i) obtaining fingerprint repetition data for a portion of video content, with the fingerprint repetition data including a list of other portions of video content matching the portion of video content and respective reference identifiers for the other portions of video content; (ii) identifying the portion of video content as a program segment rather than an advertisement segment based at least on a number of unique reference identifiers within the list of other portions of video content relative to a total number of reference identifiers within the list of other portions of video content; (iii) determining that the portion of video content corresponds to a program specified in an electronic program guide using a time stamp of the portion of video content; and (iv) storing an indication of the portion of video content in a data file for the program.

公开(公告)号：US20230353797A1

公开(公告)日：2023-11-02

申请号：US18348817

申请日：2023-07-07

申请人： GRACENOTE, INC.

发明人： Aneesh Vartakavi ,  Lakshika Balasuriya ,  Chin-Ting Ko

IPC分类号： G06F40/20 ,  H04N21/845 ,  H04N21/234 ,  G11B27/34

CPC分类号： H04N21/23418 ,  G06F40/20 ,  G11B27/34 ,  H04N21/8456 ,  G06V20/41

摘要： 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.

公开(公告)号：US11736744B2

公开(公告)日：2023-08-22

申请号：US17861112

申请日：2022-07-08

申请人： Gracenote, Inc.

发明人： Aneesh Vartakavi ,  Lakshika Balasuriya ,  Chin-Ting Ko

IPC分类号： H04N21/234 ,  G11B27/34 ,  G06F40/20 ,  H04N21/845 ,  G06V20/40

CPC分类号： H04N21/23418 ,  G06F40/20 ,  G11B27/34 ,  H04N21/8456 ,  G06V20/41 ,  G06V20/49

摘要： 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.

公开(公告)号：US11418821B1

公开(公告)日：2022-08-16

申请号：US17359433

申请日：2021-06-25

申请人： Gracenote, Inc.

发明人： Aneesh Vartakavi ,  Lakshika Balasuriya ,  Chin-Ting Ko

IPC分类号： H04N21/234 ,  G11B27/34 ,  G06F40/20 ,  H04N21/845 ,  G06V20/40

摘要： 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.

公开(公告)号：US20220256209A1

公开(公告)日：2022-08-11

申请号：US17359433

申请日：2021-06-25

申请人： Gracenote, Inc.

发明人： Aneesh Vartakavi ,  Lakshika Balasuriya ,  Chin-Ting Ko

IPC分类号： H04N21/234 ,  G11B27/34 ,  H04N21/845 ,  G06F40/20

摘要： 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.