IDENTIFYING MATCHING CANONICAL DOCUMENTS IN RESPONSE TO A VISUAL QUERY
Abstract A server system receives a visual query from a client system distinct from the server system, performs optical character recognition (OCR) on the visual query to produce text recognition data representing textual characters, including a plurality of textual characters in a contiguous region...
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creator | Casey, Matthew R Popat, Ashok C Petrou, David |
description | Abstract A server system receives a visual query from a client system distinct from the server system, performs optical character recognition (OCR) on the visual query to produce text recognition data representing textual characters, including a plurality of textual characters in a contiguous region of the visual query, and scores each textual character in the plurality of textual characters. The server system identifies, in accordance with the scoring, one or more high quality textual strings, each comprising a plurality of high quality textual characters from among the plurality of textual characters in the contiguous region of the visual query; retrieves a canonical document having the one or more high quality textual strings; generates a combination of the visual query and at least a portion of the canonical document; and sends the combination to the client system. |
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The server system identifies, in accordance with the scoring, one or more high quality textual strings, each comprising a plurality of high quality textual characters from among the plurality of textual characters in the contiguous region of the visual query; retrieves a canonical document having the one or more high quality textual strings; generates a combination of the visual query and at least a portion of the canonical document; and sends the combination to the client system.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2017</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20170720&DB=EPODOC&CC=AU&NR=2017204419A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25566,76549</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20170720&DB=EPODOC&CC=AU&NR=2017204419A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Casey, Matthew R</creatorcontrib><creatorcontrib>Popat, Ashok C</creatorcontrib><creatorcontrib>Petrou, David</creatorcontrib><title>IDENTIFYING MATCHING CANONICAL DOCUMENTS IN RESPONSE TO A VISUAL QUERY</title><description>Abstract A server system receives a visual query from a client system distinct from the server system, performs optical character recognition (OCR) on the visual query to produce text recognition data representing textual characters, including a plurality of textual characters in a contiguous region of the visual query, and scores each textual character in the plurality of textual characters. The server system identifies, in accordance with the scoring, one or more high quality textual strings, each comprising a plurality of high quality textual characters from among the plurality of textual characters in the contiguous region of the visual query; retrieves a canonical document having the one or more high quality textual strings; generates a combination of the visual query and at least a portion of the canonical document; and sends the combination to the client system.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2017</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHDzdHH1C_F0i_T0c1fwdQxx9gAxnB39_P08nR19FFz8nUN9gSqCFTz9FIJcgwP8_YJdFUL8FRwVwjyDQ4EqAkNdgyJ5GFjTEnOKU3mhNDeDspsr0DDd1IL8-NTigsTk1LzUknjHUCMDQ3MjAxMTQ0tHQ2PiVAEAZyctLA</recordid><startdate>20170720</startdate><enddate>20170720</enddate><creator>Casey, Matthew R</creator><creator>Popat, Ashok C</creator><creator>Petrou, David</creator><scope>EVB</scope></search><sort><creationdate>20170720</creationdate><title>IDENTIFYING MATCHING CANONICAL DOCUMENTS IN RESPONSE TO A VISUAL QUERY</title><author>Casey, Matthew R ; Popat, Ashok C ; Petrou, David</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_AU2017204419A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2017</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Casey, Matthew R</creatorcontrib><creatorcontrib>Popat, Ashok C</creatorcontrib><creatorcontrib>Petrou, David</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Casey, Matthew R</au><au>Popat, Ashok C</au><au>Petrou, David</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>IDENTIFYING MATCHING CANONICAL DOCUMENTS IN RESPONSE TO A VISUAL QUERY</title><date>2017-07-20</date><risdate>2017</risdate><abstract>Abstract A server system receives a visual query from a client system distinct from the server system, performs optical character recognition (OCR) on the visual query to produce text recognition data representing textual characters, including a plurality of textual characters in a contiguous region of the visual query, and scores each textual character in the plurality of textual characters. The server system identifies, in accordance with the scoring, one or more high quality textual strings, each comprising a plurality of high quality textual characters from among the plurality of textual characters in the contiguous region of the visual query; retrieves a canonical document having the one or more high quality textual strings; generates a combination of the visual query and at least a portion of the canonical document; and sends the combination to the client system.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | IDENTIFYING MATCHING CANONICAL DOCUMENTS IN RESPONSE TO A VISUAL QUERY |
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