OPTIMIZING PRODUCT PLACEMENT IN A MEDIA

• US 20180316982A1
• Filed: 05/01/2017
• Published: 11/01/2018
• Est. Priority Date: 05/01/2017
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Lynar, Timothy, von Cavallar, Stefan, Wagner, John
• Granted Patent: US 10,785,546 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/7837 using objects detected or recognised in the video content
• CPC Class Codes: H04N 21/23418 involving operations for analysing video streams, e.g. detecting features or characteristics television picture signal circuitry for scene change detection H04N5/147; filtering for image enhancement G06T5/00; methods or arrangements for recognising scenes G06V20/00; arrangements characterised by components specially adapted for monitoring, identification or recognition of video in broadcast systems H04H60/59
• CPC Class Codes: H04N 21/23424 involving splicing one content stream with another content stream, e.g. for inserting or substituting an advertisement
• CPC Class Codes: H04N 21/25883 being end-user demographical data, e.g. age, family status or address arrangements for identifying locations of users in broadcast systems H04H60/52
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• 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 21/812 involving advertisement data advertising per se G06Q30/02

Abstract

A computer-implemented method includes determining a characteristic of a target audience for a viewing of a visual media, extracting a frame of the visual media from an electronic signal, identifying an object that is visible in the frame of the visual media, and digitally inserting an item of advertising content into the frame of the visual media, in a region of the object, wherein a selection of the item of advertising content has been optimized for at least the characteristic of the audience.

Claims

1. A computer-implemented method, comprising:

determining a characteristic of a target audience for a viewing of a visual media;

extracting a frame of the visual media from an electronic signal;

identifying an object that is visible in the frame of the visual media;

generating a score for the object that quantifies a visibility of the object in the frame, wherein the score comprises a weighted sum of a plurality of scores associated with a plurality of visibility properties, and wherein the plurality of visibility properties includes at least a size of the object and a duration of the object'"'"'s visibility over multiple frames of the visual media;

determining, based on the score, that the object comprises an optimal location in which to insert an item of advertising content; and

digitally inserting the item of advertising content into the frame of the visual media, in a region of the object, wherein a selection of the item of advertising content has been optimized for at least the characteristic of the audience.

2. The computer-implemented method of claim 1, wherein the characteristic of the target audience comprises a size of the target audience.

3. The computer-implemented method of claim 1, wherein the characteristic of the target audience comprises a gender composition of the target audience.

4. The computer-implemented method of claim 1, wherein the characteristic of the target audience comprises a geographic scope of the target audience.

5. The computer-implemented method of claim 1, wherein the characteristic of the target audience comprises an age composition of the target audience.

12. The computer-implemented method of claim 1, wherein the selection of the item of advertising content is optimized by balancing the characteristic of the target audience with at least one other consideration.

13. The computer-implemented method of claim 12, wherein the at least one other consideration comprises an impact that a placement of the item of advertising content in the region of the object has on an artistic integrity of the visual media.

14. The computer-implemented method of claim 12, wherein the at least one other consideration comprises an impact that a placement of the item of advertising content in the region of the object has on an enjoyment of the visual media by the target audience.

15. The computer-implemented method of claim 12, wherein the at least one other consideration comprises a monetary value of a placement of the item of advertising content in the region of the object.

16. The computer-implemented method of claim 1, wherein the digitally inserting comprises:

applying a morphology region template to the frame to transform the frame so that the item of advertising content is displayed in the region of the object.

17. The computer-implemented method of claim 1, wherein the method is performed simultaneously with the visual media being delivered to the target audience.

18. The computer-implemented method of claim 1, wherein the frame occurs at least a predefined number of frames later in a sequence than a frame that is currently being displayed to the target audience.

21. The computer-implemented method of claim 1, wherein the weighted sum assigns a weight to each score of the plurality of scores.

22. The computer-implemented method of claim 21, wherein the weight reflects an importance of the each score relative to other scores of the plurality of scores.

23. The computer-implemented method of claim 22, wherein the importance is dependent on context.

6-7. -7. (canceled)

9. (canceled)

11. (canceled)

19. A non-transitory machine-readable storage medium encoded with instructions executable by a processor, wherein the instructions comprise:

instructions to determine a characteristic of a target audience for a viewing of a visual media;

instructions to extract a frame of the visual media from an electronic signal;

instructions to identify an object that is visible in the frame of the visual media;

generating a score for the object that quantifies a visibility of the object in the frame, wherein the score comprises a weighted sum of a plurality of scores associated with a plurality of visibility properties, and wherein the plurality of visibility properties includes at least a size of the object and a duration of the object'"'"'s visibility over multiple frames of the visual media;

determining, based on the score, that the object comprises an optimal location in which to insert an item of advertising content; and

instructions to digitally insert the item of advertising content into the frame of the visual media, in a region of the object, wherein a selection of the item of advertising content has been optimized for at least the characteristic of the audience.

20. An apparatus, comprising:

a hardware processor element; and

a plurality of programming code components that, when executed by the hardware processor element, cause the hardware processor element to perform operations comprising;

determining a characteristic of a target audience for a viewing of a visual media;

extracting a frame of the visual media from an electronic signal;

identifying an object that is visible in the frame of the visual media;

generating a score for the object that quantifies a visibility of the object in the frame, wherein the score comprises a weighted sum of a plurality of scores associated with a plurality of visibility properties, and wherein the plurality of visibility properties includes at least a size of the object and a duration of the object'"'"'s visibility over multiple frames of the visual media;

determining, based on the score, that the object comprises an optimal location in which to insert an item of advertising content; and

digitally inserting the item of advertising content into the frame of the visual media, in a region of the object, wherein a selection of the item of advertising content has been optimized for at least the characteristic of the audience.