SYSTEM, METHOD AND COMPUTER PROGRAM FOR A COGNITIVE MEDIA STORY EXTRACTOR AND VIDEO COMPOSER

• US 20180052838A1
• Filed: 08/22/2016
• Published: 02/22/2018
• Est. Priority Date: 08/22/2016
• Status: Active Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: BONTI, Alessio, Chi, Lianhua
• Application Number:
  US15/243,731
• Publication Number:
  US 20180052838A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/43 Querying
• CPC Class Codes: G06F 16/438 Presentation of query results

Abstract

A story board creating computer-implemented method, system, and computer program product, includes preprocessing contextual information to obtain story content, extracting story extractions based on the story content and input metadata by a user, creating a story pool including a plurality of story items by querying a database with the story extractions, and creating a story board from the story items of the story pool based on a story relevance to the story content and a personality distance between the story board and a target audience.

Claims

1. A computer-implemented story board creating method, the method comprising:

preprocessing contextual information to obtain story content;

extracting story extractions based on the story content and input metadata by a user;

creating a story pool including a plurality of story items by querying a database with the story extractions; and

creating a story board from the story items of the story pool based on a story relevance to the story content and a personality distance between the story board and a target audience.

2. The computer-implemented method of claim 1, wherein the contextual information is selected from a group consisting of:

a location of the contextual information;

a sentiment of the contextual information; and

a topic of the contextual information.

3. The computer-implemented method of claim 1, wherein a format of the contextual information is selected from a group consisting of:

a video;

a text file; and

an audio file.

4. The computer-implemented method of claim 1, wherein the story content comprises a textual description of the contextual information.

5. The computer-implemented method of claim 1, wherein the story extractions comprise actionable queries with which the creating queries the database to receive related story items to the contextual information and the input metadata.

6. The computer-implemented method of claim 1, further comprising ranking the story extractions in an order of importance based on a weighted value of the contextual information and a weighted value of the input metadata.

7. The computer-implemented method of claim 1, wherein the story relevance comprises an accuracy that the selected story items for the story board correspond to the contextual information and the metadata, and

wherein the accuracy is determined by a natural language processor determining a similarity between the selected story items for the story board to the contextual information and the metadata.

8. The computer-implemented method of claim 1, wherein the personality distance comprises a semantic difference between the story items of the story board and the target audience input with the metadata by the user.

9. The computer-implemented method of claim 1, further comprising comparing the contextual information to the story board and the target audience reaction to update an extracting algorithm used by the extracting to extract the story extractions comprising a greater story relevance and a smaller personality distance.

10. The computer-implemented method of claim 1, embodied in a cloud-computing environment.

11. A computer program product for story board creating, the computer program product comprising a computer-readable storage medium having program instructions embodied therewith, the program instructions executable by a device to cause the device to perform:

preprocessing contextual information to obtain story content;

extracting story extractions based on the story content and input metadata by a user;

creating a story pool including a plurality of story items by querying a database with the story extractions; and

creating a story board from the story items of the story pool based on a story relevance to the story content and a personality distance between the story board and a target audience.

12. The computer program product for story board creating of claim 11, wherein the contextual information is selected from a group consisting of:

a location of the contextual information;

a sentiment of the contextual information; and

a topic of the contextual information.

13. The computer program product for story board creating of claim 11, wherein a format of the contextual information is selected from a group consisting of:

a video;

a text file; and

an audio file.

14. The computer program product for story board creating of claim 11, wherein the story content comprises a textual description of the contextual information.

15. The computer program product for story board creating of claim 11, wherein the story extractions comprise actionable queries with which the creating queries the database to receive related story items to the contextual information and the input metadata.

16. The computer program product for story board creating of claim 11, further comprising ranking the story extractions in an order of importance based on a weighted value of the contextual information and a weighted value of the input metadata.

17. A story board creating system, said system comprising:

a processor; and

a memory, the memory storing instructions to cause the processor to;

preprocess contextual information to obtain story content;

extract story extractions based on the story content and input metadata by a user;

create a story pool including a plurality of story items by querying a database with the story extractions; and

create a story board from the story items of the story pool based on a story relevance to the story content and a personality distance between the story board and a target audience.

18. The system of claim 17, wherein the story content comprises a textual description of the contextual information.

19. The system of claim 17, wherein the story extractions comprise actionable queries with which the creating queries the database to receive related story items to the contextual information and the input metadata.

20. The system of claim 17, embodied in a cloud-computing environment.