Drawing search device, drawing database construction device, drawing search system, drawing search method, and recording medium
US-2024346068-A1 · Oct 17, 2024 · US
US2020372069A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2020372069-A1 |
| Application number | US-202016989573-A |
| Country | US |
| Kind code | A1 |
| Filing date | Aug 10, 2020 |
| Priority date | Jul 15, 2015 |
| Publication date | Nov 26, 2020 |
| Grant date | — |
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Systems and methods of the present disclosure are directed to analyzing screenshots A system 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.
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1 - 24 . (canceled) 25 . A method for processing image data comprising: receiving a set of image data generated from a screenshot of a display device at a processor; processing the set of image data with the processor in response to instructions fetched from a memory device to identify a plurality of visual elements in the set of image data that have a pre-existing association with an application software program; detecting the set of image data included in the screenshot from storage in a central database of sets of image data and associated metadata using the processor; identifying a link to the associated metadata using the processor; and accessing the associated metadata via the link using the processor. 26 . The method of claim 25 , wherein a remote processor from which the screenshot is generated is accessible by the software application programs executing on the remote processor. 27 . The method of claim 25 , wherein the set of image data includes a visual marker added to the set of image data included in the screenshot. 28 . The method of claim 25 , wherein the set of image data includes metadata uniquely identifying the set of image data included in the screenshot. 29 . The method of claim 25 , wherein the set of image data includes a code comprising a string of characters. 30 . The method of claim 25 , further comprising: comparing the set of image data to a plurality of reference markers; determining a match between the set of image data and one of the plurality of reference markers; and selecting the link based on the one of the plurality of reference markers. 31 . The method of claim 25 , wherein accessing the associated metadata via the link comprises accessing the associated metadata responsive to selection of the link from a notification including the link. 32 . The method of claim 25 , wherein the link comprises a deep link corresponding to a resource within an application software program. 33 . A system for analyzing screenshots to identify links to resources comprising: a processor coupled to a memory and a display screen configured to display content; an application stored in the memory and executable by the processor, the application including: a screenshot receiver configured to access, from a storage device, the screenshot including a set of image data; and a link identifier configured to identify a link to a resource mapped to the image data, the resource accessible by the processor via the link. 34 . The system of claim 33 , wherein the storage device to which the screenshot is stored is accessible by multiple applications executing on the processor. 35 . The system of claim 33 , wherein a predetermined marker within the set of image data includes a visual marker added to the set of image data included in the screenshot. 36 . The system of claim 33 , wherein a predetermined marker within the set of image data includes metadata uniquely identifying the set of image data. 37 . The system of claim 33 , wherein a predetermined marker within the set of image data includes a code comprising a string of characters. 38 . The system of claim 33 , further comprising a screenshot linking server configured to: receive a predetermined marker from the processor; compare the predetermined marker to a plurality of reference markers; determine a match between the predetermined marker and one of the plurality of reference markers; and select the link based on the one of the plurality of reference markers. 39 . The system of claim 33 , wherein the application is a first application and wherein the link comprises a deep link corresponding to a resource within a second application executable on the processor. 40 . A method for analyzing screenshots to identify links to resources, comprising: accessing a screenshot including a set of image data using a processor; extracting data corresponding to the set of image data included in the screenshot using the processor; generating a fingerprint identifying the set of image data using the processor, wherein the fingerprint is generated based on the data corresponding to the set of image data; identifying a link to a resource mapped to the fingerprint of the set of image data using the processor; and accessing the resource via the link. 41 . The method of claim 40 , further comprising identifying the 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 set of image data. 42 . The method of claim 40 , wherein the link comprises a deep link corresponding to a resource within a second application. 43 . The method of claim 40 , wherein identifying the link to the resource mapped to the fingerprint of the set of image data 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.
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