Selective contour reading from image based on contextual image analysis with augmented reality feedback

1 . A computer-implemented method, the method comprising:

receiving a digital image for selective image processing;

identifying a context of the selective image processing;

performing object detection within the received digital image to identify one or more depicted objects based on the identified context;

calculating an influence degree value for each of the one or more identified depicted objects, wherein an influence degree value of an identified depicted object comprises a weight the identified depicted object has on performance of the selective image processing for the identified context;

overlaying, on at least one portion of the received digital image, one or more bounding boxes which encompass relative positions of the one or more identified depicted objects;

identifying a priority level for each of one or more overlaid bounding boxes based on respective influence degree values of their respectively contained one or more identified depicted objects; and

performing the selective image processing exclusively within the one or more overlaid bounding boxes in response to respective influence degree values of the one or more identified depicted objects within the one or more overlaid bounding boxes being equal to or above a first threshold value and in response to respective priority levels of the one or more overlaid bounding boxes being equal to or above a second threshold value.

2 . The method of claim 1 , further comprising:

overlaying, on a portion of the received digital image, a bounding box which encompasses a relative position of an identified depicted object in response to a calculated influence degree value of the identified depicted object being equal to or greater than a threshold value.

3 . The method of claim 1 , wherein performing the selective image processing exclusively within the one or more overlaid bounding boxes further comprises:

extracting information relating to the identified context of the selective image processing; and

ignoring any portion of the received digital image not within the one or more overlaid bounding boxes.

4 . The method of claim 1 , wherein the digital image is received from one or more stationary cameras and/or mobile image capture devices within a structure.

5 . The method of claim 1 , further comprising:

displaying, via an augmented reality (AR)-enabled device of a user, the received digital image with one or more overlaid bounding boxes; and

displaying, via the AR-enabled device of the user, output of the selective image processing for the identified context performed within the one or more overlaid bounding boxes.

6 . The method of claim 1 , wherein the performed object detection utilizes an object detection algorithm comprising a convolutional neural network trained based on the identified context of the selective image processing.

7 . A computer system, the computer system comprising:

one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:

receiving a digital image for selective image processing;

identifying a context of the selective image processing;

performing object detection within the received digital image to identify one or more depicted objects based on the identified context;

calculating an influence degree value for each of the one or more identified depicted objects, wherein an influence degree value of an identified depicted object comprises a weight the identified depicted object has on performance of the selective image processing for the identified context;

overlaying, on at least one portion of the received digital image, one or more bounding boxes which encompass relative positions of the one or more identified depicted objects;

identifying a priority level for each of one or more overlaid bounding boxes based on respective influence degree values of their respectively contained one or more identified depicted objects; and

performing the selective image processing exclusively within the one or more overlaid bounding boxes in response to respective influence degree values of the one or more identified depicted objects within the one or more overlaid bounding boxes being equal to or above a first threshold value and in response to respective priority levels of the one or more overlaid bounding boxes being equal to or above a second threshold value.

8 . The computer system of claim 7 , further comprising:

overlaying, on a portion of the received digital image, a bounding box which encompasses a relative position of an identified depicted object in response to a calculated influence degree value of the identified depicted object being equal to or greater than a threshold value.

9 . The computer system of claim 7 , wherein performing the selective image processing exclusively within the one or more overlaid bounding boxes further comprises:

extracting information relating to the identified context of the selective image processing; and

ignoring any portion of the received digital image not within the one or more overlaid bounding boxes.

10 . The computer system of claim 7 , wherein the digital image is received from one or more stationary cameras and/or mobile image capture devices within a structure.

11 . The computer system of claim 7 , further comprising:

displaying, via an augmented reality (AR)-enabled device of a user, the received digital image with one or more overlaid bounding boxes; and

displaying, via the AR-enabled device of the user, output of the selective image processing for the identified context performed within the one or more overlaid bounding boxes.

12 . The computer system of claim 7 , wherein the performed object detection utilizes an object detection algorithm comprising a convolutional neural network trained based on the identified context of the selective image processing.

13 . A computer program product, the computer program product comprising:

one or more computer-readable tangible storage medium and program instructions stored on at least one of the one or more tangible storage medium, the program instructions executable by a processor capable of performing a method, the method comprising:

receiving a digital image for selective image processing;

identifying a context of the selective image processing;

performing object detection within the received digital image to identify one or more depicted objects based on the identified context;

calculating an influence degree value for each of the one or more identified depicted objects, wherein an influence degree value of an identified depicted object comprises a weight the identified depicted object has on performance of the selective image processing for the identified context;

overlaying, on at least one portion of the received digital image, one or more bounding boxes which encompass relative positions of the one or more identified depicted objects;

identifying a priority level for each of one or more overlaid bounding boxes based on respective influence degree values of their respectively contained one or more identified depicted objects; and

performing the selective image processing exclusively within the one or more overlaid bounding boxes in response to respective influence degree values of the one or more identified depicted objects within the one or more overlaid bounding boxes being equal to or above a first threshold value and in response to respective priority levels of the one or more overlaid bounding boxes being equal to or above a second threshold value.

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

overlaying, on a portion of the received digital image, a bounding box which encompasses a relative position of an identified depicted object in response to a calculated influence degree value of the identified depicted object being equal to or greater than a threshold value.

15 . The computer program product of claim 13 , wherein performing the selective image processing exclusively within the one or more overlaid bounding boxes further comprises:

extracting information relating to the identified context of the selective image processing; and

ignoring any portion of the received digital image not within the one or more overlaid bounding boxes.

16 . The computer program product of claim 13 , wherein the digital image is received from one or more stationary cameras and/or mobile image capture devices within a structure.

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

displaying, via an augmented reality (AR)-enabled device of a user, the received digital image with one or more overlaid bounding boxes; and

displaying, via the AR-enabled device of the user, output of the selective image processing for the identified context performed within the one or more overlaid bounding boxes.