Systems and methods for using a program schedule to facilitate modifying closed-captioning text

• US 10,289,677 B2
• Filed: 02/19/2015
• Issued: 05/14/2019
• Est. Priority Date: 02/19/2015
• Status: Active Grant

• Current Assignee: Tribune Broadcasting Company Incorporated (Nexstar Media Group, Inc.)
• Original Assignee: Tribune Broadcasting Company Incorporated (Nexstar Media Group, Inc.)
• Inventors: Hundemer, Hank J.
• Primary Examiner(s): Paula, Cesar B
• Assistant Examiner(s): Nguyen, Luu-Phuong T
• Application Number:
  US14/626,598
• Publication Number:
  US 20160246765A1
• Time in Patent Office: 1,545 Days
• Field of Search: 715257
• CPC Class Codes: G06F 16/739 in form of a video summary, e.g. the video summary being a video sequence, a composite still image or having synthesized frames
• CPC Class Codes: G06F 16/745 the internal structure of a single video sequence
• CPC Class Codes: G06F 16/7844 using original textual content or text extracted from visual content or transcript of audio data
• CPC Class Codes: G06F 40/103 Formatting, i.e. changing of presentation of documents automatic justification G06F40/189; automatic line break hyphenation G06F40/191
• CPC Class Codes: G06F 40/166 Editing, e.g. inserting or deleting
• CPC Class Codes: G06F 40/232 Orthographic correction, e.g. spell checking or vowelisation
• CPC Class Codes: G06F 40/279 Recognition of textual entities
• CPC Class Codes: G06F 40/58 Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation

Abstract

In one aspect, an example method involves: a computing device selecting a media program; the computing device accessing first data representing closed-captioning text that corresponds to the media program; accessing second data representing a program schedule of the selected media-program, wherein the program schedule comprises first text; the computing device selecting second text from among the first text; the computing device using the selected second-text to (i) identify a candidate misspelled-term within the closed-captioning text, and (ii) identify a candidate replacement-term for the candidate misspelled-term; and the computing device outputting, via a user interface, a prompt requesting a command to modify the closed-captioning text by replacing the identified candidate misspelled-term with the identified candidate replacement-term.

Claims

1. A method comprising:

a computing device selecting a media program;

the computing device accessing closed-captioning text that corresponds to the media program;

the computing device accessing a program schedule of the selected media program, wherein the program schedule comprises first text, and wherein the program schedule is used to produce the media program by coordinating the use of various media content items in the media program;

the computing device selecting second text from among the first text, wherein the selected second text is different from the closed-captioning text;

the computing device using the selected second text to (i) identify a candidate misspelled-term within the closed-captioning text, and (ii) identify a candidate replacement-term for the candidate misspelled-term; and

the computing device outputting, via a user interface, a prompt requesting a command to modify the closed-captioning text by replacing the identified candidate misspelled-term with the identified candidate replacement-term.

2. The method of claim 1, wherein the second text comprises text included as part of a character-generator template.

3. The method of claim 1, wherein selecting second text from among the first text comprises:

the computing device extracting, from the first text, third text that satisfies one or more criterion; and

the computing device selecting, as the second text, the extracted third text.

4. The method of claim 3, wherein the one or more criterion comprises a criterion that the third text comprises a proper noun.

5. The method of claim 1,

wherein using the selected second text to (i) identify the candidate misspelled-term within the closed-captioning text, and (ii) identify the candidate replacement-term for the candidate misspelled-term comprises:

modifying an electronic dictionary by adding the selected second text to the electronic dictionary; and

using the modified electronic dictionary to (i) identify the candidate misspelled-term within the closed-captioning text, and (ii) identify the candidate replacement-term for the candidate misspelled-term.

6. The method of claim 1, further comprising:

the computing device receiving, via the user interface, the command; and

responsive to receiving the command, the computing device generating and storing the closed-captioning text modified to have the identified candidate misspelled-term replaced with the identified candidate replacement-term.

7. The method of claim 1, wherein outputting, via the user interface comprises outputting, via a display device.

8. The method of claim 1, wherein the media program comprises a news program.

9. A method comprising:

a computing device selecting a media program;

the computing device accessing closed-captioning text that corresponds to the media program;

the computing device accessing a program schedule of the selected media program, wherein the program schedule comprises first text, and wherein the program schedule is used to produce the media program by coordinating the use of various media content items in the media program;

the computing device selecting second text from among the first text, wherein the selected second text is different from the closed-captioning text;

the computing device using the selected second text to (i) identify a candidate misspelled-term within the closed-captioning text, and (ii) identify a candidate replacement-term for the candidate misspelled-term; and

the computing device generating and storing the closed-captioning text modified to have the identified candidate misspelled-term replaced with the identified candidate replacement-term.

10. The method of claim 9, wherein the second text comprises text included as part of a character-generator template.

11. The method of claim 9, wherein selecting second text from among the first text comprises:

extracting, from the first text, third text that satisfies one or more criterion; and

selecting, as the second text, the extracted third text.

12. The method of claim 11, wherein the one or more criterion comprises a criterion that the third text comprises a proper noun.

13. The method of claim 9, wherein using the selected second text to (i) identify the candidate misspelled-term within the closed-captioning text, and (ii) identify the candidate replacement-term for the candidate misspelled-term comprises:

modifying an electronic dictionary by adding the selected second text to the electronic dictionary; and

using the modified electronic dictionary to (i) identify the candidate misspelled-term within the closed-captioning text, and (ii) identify the candidate replacement-term for the candidate misspelled-term.

14. The method of claim 9, wherein the media program comprises a news program.

15. A non-transitory computer-readable medium having stored thereon program instructions that when executed cause a computing device to perform a set of acts comprising:

selecting a media program;

accessing closed-captioning text that corresponds to the media program;

accessing a program schedule of the selected media program, wherein the program schedule comprises first text, and wherein the program schedule is used to produce the media program by coordinating the use of various media content items in the media program;

selecting second text from among the first text, wherein the selected second text is different from the closed-captioning text;

using the selected second text to (i) identify a candidate misspelled-term within the closed-captioning text, and (ii) identify a candidate replacement-term for the candidate misspelled-term; and

outputting, via a user interface, a prompt requesting a command to modify the closed-captioning text by replacing the identified candidate misspelled-term with the identified candidate replacement-term.

16. The computer-readable medium of claim 15, wherein the second text comprises text included as part of a character-generator template.

17. The computer-readable medium of claim 15, wherein the act of selecting second text from among the first text further comprises:

extracting, from the first text, third text that satisfies one or more criterion; and

selecting, as the second text, the extracted third text.

18. The computer-readable medium of claim 17, wherein the one or more criterion comprises a criterion that the third text comprises a proper noun.

19. The computer-readable medium of claim 15, wherein using the selected second text to (i) identify the candidate misspelled-term within the closed-captioning text, and (ii) identify the candidate replacement-term for the candidate misspelled-term comprises:

modifying an electronic dictionary by adding the selected second text to the electronic dictionary; and

using the modified electronic dictionary to (i) identify the candidate misspelled-term within the closed-captioning text, and (ii) identify the candidate replacement-term for the candidate misspelled-term.

20. The computer-readable medium of claim 15, the set of acts further comprising:

receiving, via the user interface, the command; and

responsive to receiving the command, generating and storing the closed-captioning text modified to have the identified candidate misspelled-term replaced with the identified candidate replacement-term.