Contextual alerting for broadcast content

• US 10,171,879 B2
• Filed: 10/04/2016
• Issued: 01/01/2019
• Est. Priority Date: 10/04/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Boudreau, Michael K., Chen, Jia, Rakshit, Sarbajit K., Trim, Craig M.
• Primary Examiner(s): Pierorazio, Michael B.
• Application Number:
  US15/284,779
• Publication Number:
  US 20180098127A1
• Time in Patent Office: 819 Days
• CPC Class Codes: H04N 21/4318 by altering the content in the rendering process, e.g. blanking, blurring or masking an image region image enhancement or restoration in general G06T5/00
• CPC Class Codes: H04N 21/44008 involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream arrangements characterised by components specially adapted for monitoring, identification or recognition of video in broadcast systems H04H60/59
• 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 21/47214 for content reservation or setting reminders; for requesting event notification, e.g. of sport results or stock market stock exchange data over packet-switching network H04L12/1804; push services over packet-switching network H04L12/1859; notification of incoming messages in packet switching networks H04L51/224
• CPC Class Codes: H04N 21/4756 for rating content, e.g. scoring a recommended movie
• CPC Class Codes: H04N 21/84 Generation or processing of descriptive data, e.g. content descriptors systems specially adapted for using meta-information in broadcast systems H04H60/73
• CPC Class Codes: H04N 21/8549 Creating video summaries, e.g. movie trailer retrieval in video databases by using presentations in form of a video summary G06F16/739

Abstract

After receiving a content at a device usable to present the content to a user, a portion of the received content is analyzed to identify a context present in the portion, the context including a type of a subject-matter of the portion. A contextual rating rule corresponding to the context of the portion is selected from a set of contextual rating rules. A rating value of the portion is computed using a first rating value in the contextual rating rule, the rating value of the portion being distinct from a rating associated with the content by a distributor of the content. The portion is presented on a presentation device along with the rating value of the portion.

Claims

1. A method comprising:

analyzing, after receiving a content at a device usable to present the content to a user, a portion of the received content to identify a context present in the portion, the context comprising a type of a subject-matter of the portion;

selecting, corresponding to the context of the portion, a contextual rating rule from a set of contextual rating rules;

computing a rating value of the portion using a first rating value in the contextual rating rule, the rating value of the portion being distinct from a rating associated with the content by a distributor of the content;

presenting, on a presentation device, the portion with the rating value of the portion;

collecting information related to the context of the portion;

constructing an overlay with the information, wherein the information is configured in the overlay to attract an attention of the user to the portion, and wherein the information for the overlay is selected based on content usage habits of the user;

overlaying the portion with the overlay during the presentation of the portion;

determining that the portion has not yet been presented during a presentation of the content on the presentation device;

constructing a notification, the notification comprising the rating value of the portion;

receiving an image of the user during the presenting;

analyzing the image to determine that the user is not attentive during the presenting; and

sending a notification to the user prior to presenting the portion on the presentation device responsive to determining that the user is not attentive during the presenting.

2. The method of claim 1, further comprising:

analyzing the image to determine whether a second user is absent in the image, wherein the context of the portion is of interest to the second user, wherein the sending of the notification occurs responsive to the second user being absent in the image.

3. The method of claim 1, further comprising:

applying a second contextual rating rule having a second rating value, wherein the rating value of the portion is a function of the first rating value and the second rating value.

4. The method of claim 1, further comprising:

receiving from a user of the content a specification in a natural language;

processing the specification via Natural Language Processing (NLP) to extract the context, a condition, and the first rating value; and

constructing the contextual rating rule using the context, the condition, and the first rating value.

5. The method of claim 1, further comprising:

selecting the portion from the content, wherein the portion comprises a type of data in the content.

6. The method of claim 5, wherein the type of data comprises audio data of a speech, the speech spanning a fraction of a total time period span of the content.

7. The method of claim 5, wherein the type of data comprises video data, the video data spanning a fraction of a total time period span of the content.

8. The method of claim 5, wherein the type of data comprises data about a background artifact in the content, the background artifact data spanning a fraction of a total time period span of the content.

9. The method of claim 1, wherein the content is received as a broadcast from a content provider system.

10. A computer usable program product comprising one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices, the stored program instructions comprising:

program instructions to analyze, after receiving a content at a device usable to present the content to a user, a portion of the received content to identify a context present in the portion, the context comprising a type of a subject-matter of the portion;

program instructions to select, corresponding to the context of the portion, a contextual rating rule from a set of contextual rating rules;

program instructions to compute a rating value of the portion using a first rating value in the contextual rating rule, the rating value of the portion being distinct from a rating associated with the content by a distributor of the content;

program instructions to present, on a presentation device, the portion with the rating value of the portion;

program instructions to collect information related to the context of the portion;

program instructions to construct an overlay with the information, wherein the information is configured in the overlay to attract an attention of the user to the portion, and wherein the information for the overlay is selected based on content usage habits of the user;

program instructions to overlay the portion with the overlay during a presentation of the portion;

program instructions to determine that the portion has not yet been presented during a presentation of the content on the presentation device;

program instructions to construct a notification, the notification comprising the rating value of the portion;

program instructions to receive an image of the user during the presenting;

program instructions to analyze the image to determine that the user is not attentive during the presenting; and

program instructions to send a notification to the user prior to presenting the portion on the presentation device responsive to determining that the user is not attentive during the presenting.

11. The computer usable program product of claim 10, further comprising:

program instructions to analyze the image to determine whether a second user is absent in the image, wherein the context of the portion is of interest to the second user, wherein the sending of the notification occurs responsive to the second user being absent in the image.

12. The computer usable program product of claim 10, further comprising:

program instructions to apply a second contextual rating rule having a second rating value, wherein the rating value of the portion is a function of the first rating value and the second rating value.

13. The computer usable program product of claim 10, further comprising:

program instructions to receive from a user of the content a specification in a natural language;

program instructions to process the specification via Natural Language Processing (NLP) to extract the context, a condition, and the first rating value; and

program instructions to construct the contextual rating rule using the context, the condition, and the first rating value.

14. The computer usable program product of claim 10, wherein the computer usable code is stored in a computer readable storage device in a data processing system, and wherein the computer usable code is transferred over a network from a remote data processing system.

15. The computer usable program product of claim 10, wherein the computer usable code is stored in a computer readable storage device in a server data processing system, and wherein the computer usable code is downloaded over a network to a remote data processing system for use in a computer readable storage device associated with the remote data processing system.

16. A computer system comprising one or more processors, one or more computer-readable memories, and one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, the stored program instructions comprising:

program instructions to analyze, after receiving a content at a device usable to present the content to a user, a portion of the received content to identify a context present in the portion, the context comprising a type of a subject-matter of the portion;

program instructions to select, corresponding to the context of the portion, a contextual rating rule from a set of contextual rating rules;

program instructions to compute a rating value of the portion using a first rating value in the contextual rating rule, the rating value of the portion being distinct from a rating associated with the content by a distributor of the content;

program instructions to present, on a presentation device, the portion with the rating value of the portion;

program instructions to collect information related to the context of the portion;

program instructions to construct an overlay with the information, wherein the information is configured in the overlay to attract an attention of the user to the portion, and wherein the information for the overlay is selected based on content usage habits of the user;

program instructions to overlay the portion with the overlay during a presentation of the portion;

program instructions to determine that the portion has not yet been presented during a presentation of the content on the presentation device;

program instructions to construct a notification, the notification comprising the rating value of the portion;

program instructions to receive an image of the user during the presenting;

program instructions to analyze the image to determine that the user is not attentive during the presenting; and

program instructions to send a notification to the user prior to presenting the portion on the presentation device responsive to determining that the user is not attentive during the presenting.