{"id":"https://openalex.org/W2574469931","doi":"https://doi.org/10.1109/vcip.2016.7805423","title":"Keynotes: From geo-referenced pixels to knowledge","display_name":"Keynotes: From geo-referenced pixels to knowledge","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2574469931","doi":"https://doi.org/10.1109/vcip.2016.7805423","mag":"2574469931"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2016.7805423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109000979","display_name":"Luc Vincent","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Luc Vincent","raw_affiliation_strings":["Google, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5109000979"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22129187,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.8741000294685364,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.8741000294685364,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/geocoding","display_name":"Geocoding","score":0.8580734729766846},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7130955457687378},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6577166318893433},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5603343844413757},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41995736956596375},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3500884771347046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32023561000823975},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.2226247489452362},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20550429821014404}],"concepts":[{"id":"https://openalex.org/C42629822","wikidata":"https://www.wikidata.org/wiki/Q1346408","display_name":"Geocoding","level":2,"score":0.8580734729766846},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7130955457687378},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6577166318893433},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5603343844413757},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41995736956596375},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3500884771347046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32023561000823975},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.2226247489452362},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20550429821014404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2016.7805423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W10590203","https://openalex.org/W3125352268","https://openalex.org/W1829360400","https://openalex.org/W2920874770","https://openalex.org/W2004610910","https://openalex.org/W1978785994","https://openalex.org/W2610881451","https://openalex.org/W2996283026","https://openalex.org/W1921424391"],"abstract_inverted_index":{"Our":[0],"planet":[1],"is":[2,27,55,78,90,119,201],"photographed":[3],"on":[4,105],"a":[5,111,153],"daily":[6],"basis":[7],"by":[8,57,87],"dozens":[9],"of":[10,14,20,117,155,166],"imaging":[11],"satellites,":[12],"hundreds":[13],"airplanes":[15],"and":[16,18,45,59,171,190,212,216],"drones,":[17],"thousands":[19],"cars":[21],"collecting":[22],"street-level":[23],"imagery.":[24],"This":[25],"imagery":[26,176,200],"critical":[28],"to":[29,62,137,147,150,169,204],"consumer":[30,215],"products":[31],"such":[32],"as":[33,152],"Google":[34,37,106],"Earth":[35],"or":[36,68],"Street":[38,123,130],"View,":[39],"which":[40],"let":[41],"users":[42,151],"travel":[43],"virtually":[44],"explore":[46],"any":[47],"destination":[48],"around":[49],"the":[50,80,197],"world.":[51],"In":[52,158],"addition,":[53],"it":[54,77,89,178],"used":[56,136,203],"governments":[58],"commercial":[60],"entities":[61],"make":[63],"financial":[64],"decisions,":[65],"drive":[66],"policy,":[67],"enforce":[69],"laws,":[70],"among":[71],"other":[72],"use":[73,218],"cases.":[74,219],"Increasingly":[75],"though,":[76],"not":[79,145],"geo-referenced":[81,133],"pixels":[82,125],"themselves":[83],"that":[84,92],"are":[85,135,195],"consumed":[86],"end-users,":[88],"knowledge":[91],"has":[93],"been":[94],"derived":[95,121],"from":[96,122],"these":[97,142],"pixels.":[98],"For":[99],"example,":[100],"searching":[101],"for":[102],"an":[103,164],"address":[104],"Maps":[107],"translates":[108],"into":[109],"calling":[110],"geocoding":[112],"service":[113],"whose":[114],"geographic":[115,175],"index":[116],"addresses":[118],"increasingly":[120],"View":[124],"house":[126],"numbers":[127],"observed":[128],"in":[129,187,193],"View's":[131],"accurately":[132],"panoramas":[134,143],"generate":[138],"this":[139,159,199],"index,":[140],"yet":[141],"do":[144],"need":[146],"be":[148],"shown":[149],"result":[154],"their":[156],"search.":[157],"talk,":[160],"I":[161],"will":[162],"give":[163],"overview":[165],"Google's":[167],"efforts":[168],"capture":[170],"organize":[172],"high-quality,":[173],"fresh":[174],"where":[177],"matters":[179],"most.":[180],"I'll":[181],"then":[182],"explain":[183],"how":[184],"recent":[185],"advances":[186],"computer":[188],"vision":[189],"deep":[191],"learning":[192],"particular":[194],"trans-forming":[196],"way":[198],"being":[202],"derive":[205],"map":[206],"data,":[207,209],"local":[208],"business":[210,217],"intelligence,":[211],"power":[213],"new":[214]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}