Composable templates for managing disturbing image and sounds

• US 10,949,461 B2
• Filed: 04/18/2016
• Issued: 03/16/2021
• Est. Priority Date: 04/18/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Goldberg, Itzhack, Pickover, Clifford A., Vukovic, Maja
• Primary Examiner(s): Montoya, Oschta I
• Application Number:
  US15/131,581
• Publication Number:
  US 20170300512A1
• Time in Patent Office: 1,793 Days
• Field of Search: 725 28, 725 29, 725 46
• CPC Class Codes: G06F 16/435 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/45 Clustering; Classification
• CPC Class Codes: G06F 16/535 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/55 Clustering; Classification
• CPC Class Codes: G06F 16/5866 using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
• CPC Class Codes: G06F 16/635 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/65 Clustering; Classification
• CPC Class Codes: G06F 16/735 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/75 Clustering; Classification
• CPC Class Codes: G06V 40/176 Dynamic expression

Abstract

A method and system are provided. The method includes analyzing, by a hardware processor, one or more images to determine cognitive characteristics related to the one or more images and to a user. The method further includes forming, by the hardware processor, a composable template relating to the cognitive characteristics. The method also includes performing, by the hardware processor or another hardware processor, an amelioration action with respect to a displaying on a display device of at least one image from the one or more images, based on the composable template. The amelioration action is selected from a set of amelioration actions that include transmitting the at least one image to the disturbing image repository.

Claims

1. A method, comprising:

analyzing, by a hardware processor, one or more images to determine cognitive characteristics related to the one or more images and to a user;

forming, by the hardware processor, a composable template relating to the cognitive characteristics;

updating the composable template by learning one or more policies for desired amelioration actions based on a preference of the user;

performing, by the hardware processor or another hardware processor, an amelioration action with respect to a displaying on a display device of at least one image from the one or more images, based on the composable template,

wherein the amelioration action is selected from a set of different types of amelioration actions, the set of different types of amelioration actions including transmitting the at least one image to a disturbing image repository, darkening a portion of the at least one image, blurring a portion of the at least one image, and changing a size of the at least one image; and

reassessing the one or more images over time based on a predefined reassessment criteria, the reassessment criteria being a change in an estimated sensitivity of the at least one image.

2. The method of claim 1, wherein the cognitive characteristics comprise estimated emotional responses to the one or more images.

3. The method of claim 1, further comprising assigning one or more confidence levels to the cognitive characteristics, wherein said forming step is further based on at least one of the one or more confidence levels.

4. The method of claim 1, wherein the composable templates are formed using a hierarchical planning system that encodes the one or more policies with respect to the amelioration action in a given context and a given cognitive state.

5. The method of claim 1, wherein the learning one or more policies further comprises forming other composable templates based on a response of the user to various different amelioration actions.

6. The method of claim 1, wherein the composable template specifies a methodology for redacting image content, and the amelioration action comprises redacting the image content from the at least one image.

7. The method of claim 1 wherein the composable template specifies an instruction for initiating a transmission of the at least one image to the disturbing image repository for later viewing when it is determined that the user feels emotionally stronger than the current time, and the amelioration action comprises transmitting the at least one image to the disturbing image repository.

8. The method of claim 1, wherein the composable template specifies an instruction for initiating a transmission of one or more forewarning messages to a potential viewer, and the amelioration action includes transmitting the one or more forewarning messages to the potential viewer.

9. The method of claim 1, wherein the composable template specifies an instruction for initiating an insertion of a pointer in place of the at least one image that redirects the user to a special repository only from which the at least one image is viewable by the user, and wherein the amelioration action comprises inserting the pointer in the at least one image.

10. The method of claim 1, wherein the composable template is controllable by one or more inputs from at least one of the user, a guardian, a provider, a team member, and a family member.

11. The method of claim 1, wherein one or more composable templates are selectively supplied, suggested, used, or learned for various cohorts of the user.

12. The method of claim 1, wherein the amelioration action comprises at least one of darkening the at least one image, making a face or other image feature unrecognizable in the at least one image, and changing a size of the at least one image.

13. The method of claim 1, further comprising configuring the disturbing image repository to require access by a third party before the user can access the disturbing image repository, and wherein the amelioration action comprises transmitting the at least one image to the disturbing image repository for storage therein.

14. The method of claim 1, further comprising:

segregating respective image albums from a plurality of image albums stored in a disturbing image repository and corresponding to the user, according to possible image viewing induced distress;

determining an estimate of possible image viewing induced distress for the at least one image; and

selectively placing the at least one image into a respective one of the plurality of image albums, based on the estimate.

15. The method of claim 14, wherein the plurality of albums are further segregated according to confidence values for the possible image viewing induced distress, and wherein said selectively placing step is further based on a confidence value for the estimate for the at least one image.

16. The method of claim 14, further comprising:

segregating a plurality of disturbing image repositories, according to possible image viewing induced distress;

determining an estimate of possible image viewing induced distress for the at least one image; and

selectively placing the at least one image into a respective one of the plurality of disturbing image repositories, based on the estimate.

17. The method of claim 1, wherein the set of images are comprised in a video with sound, and wherein said analyzing, forming, and performing steps are also applied to the sound, to determine other cognitive characteristics relating to the sound and to the user, to form another composable template relating to the other cognitive characteristics, and to perform a different amelioration action with respect to a reproducing of the sound to the user on a speech reproduction device, based on the other composable template.

18. The method of claim 1, wherein at least one of the one or more images shows a disaster scenario.

19. A non-transitory computer readable storage medium comprising a computer readable program for managing disturbing images, wherein the computer readable program when executed on a computer causes the computer to perform the steps of:

analyzing, by a hardware processor, one or more images to determine cognitive characteristics related to the one or more images and to a user;

forming, by the hardware processor, a composable template relating to the cognitive characteristics;

updating the composable template by learning one or more policies for desired amelioration actions based on a preference of the user;

performing, by the hardware processor or another hardware processor, an amelioration action with respect to a displaying on a display device of at least one image from the one or more images, based on the composable template,

wherein the amelioration action is selected from a set of different types of amelioration actions, the set of different types of amelioration actions including transmitting the at least one image to a disturbing image repository, darkening a portion of the at least one image, blurring a portion of the at least one image, and changing a size of the at least one image; and

reassessing the one or more images over time based on a predefined reassessment criteria.

20. A system, comprising:

a memory operatively coupled to one or more hardware processors, the hardware processors being configured to;

analyze one or more images to determine cognitive characteristics related to the one or more images and to a user;

form a composable template relating to cognitive characteristics;

update the composable template by learning one or more policies for desired amelioration actions based on a preference of the user;

perform an amelioration action with respect to a displaying on a display device of at least one image from the one or more images, based on the composable template,

wherein the amelioration action is selected from a set of different types of amelioration actions, the set of different types of amelioration actions including transmitting the at least one image to a disturbing image repository, darkening a portion of the at least one image, blurring a portion of the at least one image, and changing a size of the at least one image; and

reassess the one or more images over time based on a predefined reassessment criteria, the reassessment criteria being a change in an estimated sensitivity of the at least one image.