Systems and methods for screenshot linking
A system for analyzing screenshots can include a computing device including a processor coupled to a memory and a display screen configured to display content. The system can include an application stored on the memory and executable by the processor. The application can include a screenshot receiver configured to access, from storage to which a screenshot of the content displayed on the display screen captured using a screenshot function of the computing device is stored, the screenshot including an image and a predetermined marker. The application can include a marker detector configured to detect the predetermined marker included in the screenshot. The application can include a link identifier configured to identify, using the predetermined marker, a link to a resource mapped to the image included in the screenshot, the resource accessible by the computing device via the link.
1. A method for processing image data comprising:
receiving, by a processor, a first set of image data generated from a screenshot of a display device;
processing, by the processor, the first set of image data in response to instructions fetched from a memory device to identify a predetermined marker, a plurality of visual elements in the first set of image data that have a pre-existing association with an application software program, and metadata uniquely identifying the first set of image data;
identifying, by the processor and based at least on the predetermined marker, the plurality of visual elements, and the metadata, a link to a social media post viewable at the application software program, the social media post including a second set of image data matching the first set of image data; and
causing, by the processor, the link to be displayed on a client device.
2. The method of claim 1 , wherein the predetermined marker includes a visual marker added to the first set of image data included in the screenshot.
3. The method of claim 1 , wherein the predetermined marker includes a code comprising a string of characters.
4. The method of claim 1 , further comprising:
comparing the first set of image data to a plurality of reference markers;
determining a match between the first set of image data and one of the plurality of reference markers; and
identifying the link based at least on the one of the plurality of reference markers.
5. The method of claim 1 , wherein causing the link to be displayed on the client device comprises causing a notification including the link to be displayed on the client device.
6. The method of claim 1 , wherein the link comprises a deep link corresponding to the social media post within the application software program.
7. A system for analyzing screenshots to identify links to resources comprising:
a processor coupled to a memory device and
configured to perform operations including:
receiving, from a client device, a first set of image data generated from a screenshot;
processing the first set of image data to identify a predetermined marker, a plurality of visual elements in the first set of image data that have a pre-existing association with an application software program, and metadata uniquely identifying the first set of image data;
identifying, based at least on the predetermined marker, the plurality of visual elements, and the metadata, a link to a social media post viewable at the application software program, the social media post including a second set of image data matching the first set of image data; and
causing the link to be displayed at the client device.
8. The system of claim 7 , wherein the predetermined marker includes a visual marker added to the set of image data included in the screenshot.
9. The system of claim 7 , wherein the predetermined marker includes metadata uniquely identifying the first set of image data.
10. The system of claim 7 , wherein the predetermined marker includes a code comprising a string of characters.
11. The system of claim 7 , the operations further including:
comparing the predetermined marker to a plurality of reference markers;
determining a match between the predetermined marker and one of the plurality of reference markers; and
identifying the link based on the one of the plurality of reference markers.
12. The system of claim 7 , wherein the link comprises a deep link corresponding to the social media post within the application software program.
13. A non-transitory computer-readable medium storing computer-executable instructions which, when executed by a processor, cause the processor to perform operations comprising:
accessing a screenshot including a first set of image data;
extracting data corresponding to the first set of image data included in the screenshot;
identifying, based on the extracted data, a predetermined marker, a plurality of visual elements in the first set of image data that have a pre-existing association with an application software program, and metadata uniquely identifying the first set of image data;
identifying, based at least on the predetermined marker, the plurality of visual elements, and the metadata, a link to a social media post viewable at the application software program, the social media post including a second set of image data matching the first set of image data; and
causing the link to be displayed at a client device.
14. The computer-readable medium of claim 13 , further comprising identifying the first set of image data from the screenshot by performing image entropy analysis on the screenshot to determine a portion of the screenshot that corresponds to the first set of image data.
15. The computer-readable medium of claim 13 , wherein the link comprises a deep link corresponding to the social media post within the application software program.
16. The computer-readable medium of claim 13 , wherein the predetermined marker includes a fingerprint, and wherein identifying the link further comprises identifying the link responsive to determining a match between the fingerprint and a plurality of reference fingerprints based on a comparison of the fingerprint of the image to a plurality of reference fingerprints.