Deep movie analysis based on cognitive controls in cinematography

• US 10,271,099 B2
• Filed: 02/27/2017
• Issued: 04/23/2019
• Est. Priority Date: 02/27/2017
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Dey, Kuntal, Nagar, Seema, Tamilselvam, Srikanth Govindaraj, Vijil, Enara C.
• Primary Examiner(s): Saint Cyr, Leonard
• Application Number:
  US15/442,842
• Publication Number:
  US 20180249209A1
• Time in Patent Office: 785 Days
• Field of Search: 704 7- 10
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: H04N 21/44218 Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program methods or arrangements for recognising human body or animal bodies or body parts G06V40/10; methods or arrangements for acquiring or recognising human faces, facial parts, facial sketches, facial expressions G06V40/16; methods or arrangements for recognising movements or behaviour G06V40/20; arrangements for identifying users in broadcast systems H04H60/45
• CPC Class Codes: H04N 21/4667 Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
• CPC Class Codes: H04N 21/4668 for recommending content, e.g. movies
• CPC Class Codes: H04N 21/4756 for rating content, e.g. scoring a recommended movie

Abstract

A movie review generating method, system, and computer program product for dynamically generating movie reviews by capturing and aggregating the experience observed by an external observation system, and correlating the observation with the elements of the movie by creating soft-faceted boundaries around the elements.

Claims

1. A computer-implemented cinematography review generating method, the method comprising:

compiling responses of viewers during a motion picture;

detecting elements of the motion picture including an emotional response by a viewer;

creating soft segments for the motion picture including an element of the elements having the emotional response;

analyzing the responses paired with each soft segment and element to produce an automated review of each of the soft segments and the elements, the automated review being produced by compiling all of the analyzed responses aggregated across all viewers;

providing the viewers with assistance in writing a viewer generated review of the motion picture by reminding the viewers of points during the soft segments that the viewers had the emotional response towards the motion picture and combining the viewer generated review with the automated review to create a compiled review;

aggregating the responses of the viewers according to a cohort to which the viewers belong; and

refining the review of each of the soft segments to include only the viewers of the cohort,

wherein the review is compared with a prior existing review stored in a database to identify differences between the prior existing review and the review, and to identify bias in the prior existing review based on an identity of the viewer and the cohort of the viewer,

wherein the automated review is created by combining a subset of the elements, and overlaying an intensity of viewer reactions to the elements of which a correlation is carried out by analyzing the elements and the corresponding audience reaction, and

wherein the review is post-facto used to normalize with an individual viewer level review bias element, based on the identified bias, which segment of the motion picture had generated an attention of the viewer, provide a recall of a specific emotional response by the viewer to the segment, and request that the viewer update the review after the recall is provided.

2. The computer-implemented method of claim 1, wherein the elements comprise at least one of:

an actor; and

a scene of the motion picture.

3. The computer-implemented method of claim 1, wherein the responses comprise at least one of:

an emotional reaction to the element of the soft segment;

a sentiment towards the element of the soft segment; and

an attention span of the viewer during the soft segment including the element.

4. The computer-implemented method of claim 1, wherein the soft segments include segments of the motion picture at different times of the motion picture including the element.

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

6. The computer-implemented method of claim 1, wherein the review is corrected for a missing piece of information from the review based on the detected elements of the motion picture.

7. The computer-implemented method of claim 1, wherein the review is flagged when the review conflicts with the detected elements of the motion picture.

8. The computer-implemented method of claim 1, wherein the review is flagged when the review conflicts with the responses of the viewers.

9. A non-transitory computer program product for cinematography review generation, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform:

compiling responses of viewers during a motion picture;

detecting elements of the motion picture including an emotional response by a viewer;

creating soft segments for the motion picture including an element of the elements having the emotional response;

analyzing the responses paired with each soft segment and element to produce an automated review of each of the soft segments and the elements, the automated review being produced by compiling all of the analyzed responses aggregated across all viewers;

providing the viewers with assistance in writing a viewer generated review of the motion picture by reminding the viewers of points during the soft segments that the viewers had the emotional response towards the motion picture and combining the viewer generated review with the automated review to create a compiled review;

aggregating the responses of the viewers according to a cohort to which the viewers belong; and

refining the review of each of the soft segments to include only the viewers of the cohort,

wherein the review is compared with a prior existing review stored in a database to identify differences between the prior existing review and the review, and to identify bias in the prior existing review based on an identity of the viewers and the cohort of the viewer,

wherein the automated review is created by combining a subset of the elements, and overlaying an intensity of viewer reactions to the elements of which a correlation is carried out by analyzing the elements and the corresponding audience reaction, and

wherein the review is post-facto used to normalize with an individual viewer level review bias element, based on the identified bias, which segment of the motion picture had generated an attention of the viewer, provide a recall of a specific emotional response by the viewer to the segment, and request that the viewer update the review after the recall is provided.

10. The non-transitory computer program product of claim 9, wherein the elements comprise at least one of:

an actor; and

a scene of the motion picture.

11. The non-transitory computer program product of claim 9, wherein the responses comprise at least one of:

an emotional reaction to the element of the soft segment;

a sentiment towards the element of the soft segment; and

an attention span of the viewer during the soft segment including the element.

12. The non-transitory computer program product of claim 9, wherein the soft segments include segments of the motion picture at different times of the motion picture including the element.

13. A cinematophraphy review generating system, said system comprising:

a processor, and

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

compiling responses of viewers during a motion picture;

detecting elements of the motion picture including an emotional response by a viewer;

creating soft segments for the motion picture including an element of the elements having the emotional response;

analyzing the responses paired with each soft segment and element to produce an automated review of each of the soft segments and the elements, the automated review being produced by compiling all of the analyzed responses aggregated across all viewers;

providing the viewers with assistance in writing a viewer generated review of the motion picture by reminding the viewers of points during the soft segments that the viewers had the emotional response towards the motion picture and combining the viewer generated review with the automated review to create a compiled review;

aggregating the responses of the viewers according to a cohort to which the viewers belong; and

refining the review of each of the soft segments to include only the viewers of the cohort,

wherein the review is compared with a prior existing review stored in a database to identify differences between the prior existing review and the review, and to identify bias in the prior existing review based on an identity of the viewer and the cohort of the viewer,

wherein the automated review is created by combining a subset of the elements, and overlaying an intensity of viewer reactions to the elements of which a correlation is carried out by analyzing the elements and the corresponding audience reaction, and

wherein the review is post-facto used to normalize with an individual viewer level review bias element, based on the identified bias, which segment of the motion picture had generated an attention of the viewer, provide a recall of a specific emotional response by the viewer to the segment, and request that the viewer update the review after the recall is provided.

14. The system of claim 13, wherein the elements comprise at least one of:

an actor; and

a scene of the motion picture.

15. The system of claim 13, wherein the responses comprise at least one of:

an emotional reaction to the element of the soft segment;

a sentiment towards the element of the soft segment; and

an attention span of the viewer during the soft segment including the element.

16. The system of claim 13, wherein the soft segments include segments of the motion picture at different times of the motion picture including the element.

17. The system of claim 13, embodied in a cloud-computing environment.