Methods and systems of dynamic content analysis

Patent metadata

Field	Value
Publication number	US-10104429-B2
Application number	US-201715590888-A
Country	US
Kind code	B2
Filing date	May 9, 2017
Priority date	Jan 31, 2013
Publication date	Oct 16, 2018
Grant date	Oct 16, 2018

Abstract

Methods and systems of dynamic content analysis for categorizing media contents are provided. Data regarding the media contents that a user is watching on one or more devices is obtained, and the environment in which the user is watching the media contents may be captured. Metadata categorizing the events and the media contents can be generated, and the metadata may be further associated with a corresponding event.

First claim

What is claimed is:

1. A computer-implemented method, comprising:
performing dynamic analysis of a scene of a media content being viewed by a user to determine one or more elements present in the scene and recognize one or more events involving the one or more elements occurring in the scene, wherein the dynamic analysis of the scene is performed without utilizing predetermined information associated with either the one or more elements or the one or more events;
analyzing one or more concurrent activities of the user during the viewing of the media content;
generating real-time metadata comprising information characterizing at least one of the one or more elements and the one or more events and information characterizing the one or more concurrent activities of the user, the information characterizing the at least one of the one or more elements and the one or more concurrent activities of the user including at least psychometric metadata, and the information characterizing the at least one of the one or more events including at least textual descriptions categorizing the at least one or more events; and
requesting supplementary information based upon the real-time metadata.

2. The computer-implemented method of claim 1 , wherein the dynamic analysis of the scene comprises one or more of color tracing, scene recognition, facial expression detection and recognition, or a combination thereof.

3. The computer-implemented method of claim 1 , wherein the analyzing of the one or more concurrent activities of the user comprises one or more of facial expression detection and recognition, determining the user's location, determining the user's concurrent internet activities, body movement detection and recognition, and vocal sound detection and recognition.

4. The computer-implemented method of claim 1 , further comprising associating the real-time metadata with the media content.

5. The computer-implemented method of claim 1 , further comprising timing delivery of the requested supplementary information to the user viewing the media content based upon the user's concurrent activities.

6. The computer-implemented method of claim 5 , wherein the user is a primary viewer of the media content.

7. The computer-implemented method of claim 1 , further comprising presenting the supplementary information on one or more devices utilized by the user for viewing the media contents.

8. The computer-implemented method of claim 1 , further comprising presenting the supplementary information on one or more devices other than that from which the request for the supplementary information is transmitted.

9. The computer-implemented method of claim 1 , further comprising formatting the real-time metadata in accordance with a standardized event description format recognizable by one or more supplementary information providers.

10. The computer-implemented method of claim 1 , wherein the textual descriptions categorizing the at least one or more events comprise standardized event descriptors.

11. An apparatus, comprising:
non-transitory memory storing a set of instructions; and
a processor coupled to the non-transitory, wherein the set of instructions are configured to cause the processor to:
perform dynamic analysis of a scene of a media content being viewed by a user to determine one or more elements present in the scene and recognize one or more events involving the one or more elements occurring in the scene, wherein the dynamic analysis of the scene is performed without utilizing predetermined information associated with either the one or more elements or the one or more events;

analyze one or more concurrent activities of the user during the viewing of the media content;
generate real-time metadata comprising information characterizing at least one of the one or more elements and the one or more events and information characterizing the one or more concurrent activities of the user, the information characterizing the at least one of the one or more elements and the one or more concurrent activities of the user including at least psychometric metadata, and the information characterizing the at least one of the one or more events including at least textual descriptions categorizing the at least one or more events; and
request supplementary information based upon the real-time metadata.

12. The apparatus of claim 11 , wherein the set of instructions configured to cause the processor to perform the dynamic analysis of the scene comprises instructions causing the processor perform one or more of color tracing, scene recognition, facial expression detection and recognition, or a combination thereof.

13. The apparatus of claim 11 , wherein the set of instructions configured to cause the processor to analyze the one or more concurrent activities of the user comprises instructions causing the processor to perform one or more of facial expression detection and recognition, a determination of the user's location, a determination of the user's internet activities, body movement detection and recognition, and vocal sound detection and recognition.

14. The apparatus of claim 11 , wherein the set of instructions further causes the processor to associate the real-time metadata with the media content.

15. The apparatus of claim 11 , wherein the set of instructions further causes the processor to time delivery of the requested supplementary information to the user viewing the media content based upon the user's concurrent activities.

16. The apparatus of claim 15 , wherein the user is a primary viewer of the media content.

17. The apparatus of claim 11 , wherein the set of instructions further causes the processor to present the supplementary information on one or more devices utilized by the user for viewing the media contents.

18. The apparatus of claim 11 , wherein the set of instructions further causes the processor to present the supplementary information on one or more devices other than that from which the request for the supplementary information is transmitted.

19. The apparatus of claim 11 , wherein the set of instructions further causes the processor to format the real-time metadata in accordance with a standardized event description format recognizable by one or more supplementary information providers.

20. The apparatus of claim 11 , wherein the textual descriptions categorizing the at least one or more events comprise standardized event descriptors.

Assignees

• Disney Entpr Inc

Inventors

• Robert Arnaud
• Arana Mark
• Drake Edward

Classifications

• H04N21/44204 Primary

  Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched (monitoring of user activities for profile generation for accessing a video database G06F16/739; protecting generic digital content where the protection is independent of the precise nature of the content G06F21/10; arrangements for monitoring the use made of the broadcast services in broadcast systems H04H60/31) · CPC title

• G06F17/30032

  Physics · mapped topic

• H04N21/44218

  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 programme (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 title

• H04N21/25866

  Management of end-user data (customer care in data networks H04L41/5077) · CPC title

• H04N21/44222

  Analytics of user selections, e.g. selection of programmes or purchase activity (monitoring of user selections in data processing systems G06F11/34; arrangements for monitoring the user's behaviour or opinions in broadcast systems H04H60/33) · CPC title