US 10,255,549 B2Granted

Context-based photography and captions

AssigneeInternational Business Machines Corporation

InventorsKuntal Dey, Seema Nagar, Srikanth G. Tamilselvam, Enara C. Vijil

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Abstract

In an approach to managing images and captions, one or more computer processors receive one or more captured images of including one or more subjects. The one or more computer processors identify the one or more subjects from the first image. The one or more computer processors identify the context of the first image of the one or more captured images containing the one or more subjects. The one or more computer processors analyze one or more social networking histories and relationships associated with the one or more subjects using recognition techniques. The one or more computer processors create one or more captions associated with the first image of the one or more captured images based on the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects.

Claims20

Dependent claims

A method for managing captured images and captions using deep machine learning, the method comprising:

receiving, by one or more computer processors, one or more captured images of one or more subjects, wherein a first image of the one or more images includes one or more subjects;
identifying, by the one or more computer processors, the one or more subjects from the first image;
identifying, by the one or more computer processors, a social and emotional context of the first image of the one or more captured images containing the one or more subjects;
analyzing, by the one or more computer processors, one or more social networking histories and relationships associated with the one or more subjects using facial recognition techniques and object recognition techniques;
identifying, by one or more computer processors, the relationship between the one or more identified subjects and a tone of the first image, wherein the tone is based on the social and emotional context of the first image;
performing, by one or more computer processors, regression analysis on the identified relationship to categorize the relationship between one or more identified subjects and the tone for the image;
and
creating, by the one or more computer processors, one or more captions associated with the first image of the one or more captured images based on the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects and the performed regression analysis.

5 more elements

A computer program product for managing captured images and captions using deep machine learning, the computer program product comprising:

one or more computer readable storage devices and program instructions stored on the one or more computer readable storage devices, the stored program instructions comprising:
program instructions to receive one or more captured images of one or more subjects, wherein a first image of the one or more images includes one or more subjects;
program instructions to identify the one or more subjects from the first image;
program instructions to identify a social and emotional context of the first image of the one or more captured images containing the one or more subjects;
program instructions to analyze one or more social networking histories and relationships associated with the one or more subjects using facial recognition techniques and object recognition techniques;
program instructions to identify the relationship between the one or more identified subjects and a tone of the first image, wherein the tone is based on the social and emotional context of the first image;
program instructions to perform regression analysis on the identified relationship to categorize the relationship between one or more identified subjects and the tone for the image;
and
program instructions to create one or more captions associated with the first image of the one or more captured images based on the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects and the performed regression analysis.

6 more elements

A computer system for managing captured images and captions using deep machine learning, the computer system comprising:

one or more computer processors;
one or more computer readable storage devices;
program instructions stored on the one or more computer readable storage devices for execution by at least one of the one or more computer processors, the stored program instructions comprising:
program instructions to receive one or more captured images of one or more subjects, wherein a first image of the one or more images includes one or more subjects;
program instructions to identify the one or more subjects from the first image;
program instructions to identify a social and emotional context of the first image of the one or more captured images containing the one or more subjects;
program instructions to analyze one or more social networking histories and relationships associated with the one or more subjects using facial recognition techniques and object recognition techniques;
program instructions to identify the relationship between the one or more identified subjects and a tone of the first image, wherein the tone is based on the social and emotional context of the first image;
program instructions to perform regression analysis on the identified relationship to categorize the relationship between one or more identified subjects and the tone for the image;
and
program instructions to create one or more captions associated with the first image of the one or more captured images based on the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects and the performed regression analysis.

8 more elements

Dependencies are inferred from the claim text.