{"id":"https://openalex.org/W2555851297","doi":"https://doi.org/10.1145/3005422.3005430","title":"IndVizCMap","display_name":"IndVizCMap","publication_year":2016,"publication_date":"2016-10-31","ids":{"openalex":"https://openalex.org/W2555851297","doi":"https://doi.org/10.1145/3005422.3005430","mag":"2555851297"},"language":"en","primary_location":{"id":"doi:10.1145/3005422.3005430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3005422.3005430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness","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/A5051228164","display_name":"Arif Arman","orcid":null},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Arif Arman","raw_affiliation_strings":["Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055016842","display_name":"Kaysar Abdullah","orcid":null},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Kaysar Abdullah","raw_affiliation_strings":["Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087327393","display_name":"Ishat E Rabban","orcid":null},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Ishat E Rabban","raw_affiliation_strings":["Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000819439","display_name":"Mohammed Eunus Ali","orcid":"https://orcid.org/0000-0002-0384-7616"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Mohammed Eunus Ali","raw_affiliation_strings":["Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051228164"],"corresponding_institution_ids":["https://openalex.org/I183697816"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13576277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"47","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.7804297208786011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7411593198776245},{"id":"https://openalex.org/keywords/skyline","display_name":"Skyline","score":0.7376296520233154},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5809657573699951},{"id":"https://openalex.org/keywords/notice","display_name":"Notice","score":0.5526325702667236},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5144136548042297},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5083622336387634},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.49893975257873535},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.49808454513549805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46065518260002136},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4552648365497589},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.44724079966545105},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4269666373729706},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.20265686511993408},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1955876350402832},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18167513608932495},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1145913302898407}],"concepts":[{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.7804297208786011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7411593198776245},{"id":"https://openalex.org/C2780757406","wikidata":"https://www.wikidata.org/wiki/Q465837","display_name":"Skyline","level":2,"score":0.7376296520233154},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5809657573699951},{"id":"https://openalex.org/C2779913896","wikidata":"https://www.wikidata.org/wiki/Q7063001","display_name":"Notice","level":2,"score":0.5526325702667236},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5144136548042297},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5083622336387634},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.49893975257873535},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.49808454513549805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46065518260002136},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4552648365497589},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.44724079966545105},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4269666373729706},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.20265686511993408},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1955876350402832},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18167513608932495},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1145913302898407},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3005422.3005430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3005422.3005430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1942710570","https://openalex.org/W1983875778","https://openalex.org/W1994493030","https://openalex.org/W2027686841","https://openalex.org/W2118269922","https://openalex.org/W2136696682"],"related_works":["https://openalex.org/W1994126304","https://openalex.org/W2087306197","https://openalex.org/W1973297295","https://openalex.org/W2385368906","https://openalex.org/W2316530548","https://openalex.org/W2505069962","https://openalex.org/W3096764880","https://openalex.org/W2039842051","https://openalex.org/W2902924992","https://openalex.org/W2626642044"],"abstract_inverted_index":{"The":[0],"widespread":[1],"availability":[2],"of":[3,16,23,77,89,96,126,149,163,181],"indoor":[4,43],"and":[5,85,134],"outdoor":[6],"3D":[7],"models":[8],"enables":[9],"us":[10],"to":[11,137,170],"answer":[12],"a":[13,38,52,56,60,63,66,90,106,119,131,141],"wide":[14],"range":[15],"spatial":[17],"visibility":[18,88,107,124,148],"queries":[19,29,82],"in":[20,41,55,62,114],"the":[21,33,47,74,78,87,97,115,123,127,146,150,157,164,167],"presence":[22],"obstacles":[24],"(e.g.,":[25],"buildings,":[26],"furniture).":[27],"Example":[28],"include":[30],"\"what":[31,45],"is":[32,46,117,130],"best":[34,48,75],"position":[35,49],"for":[36,50,65,140,156],"placing":[37,51],"surveillance":[39],"camera":[40],"an":[42],"space?\"":[44],"notice":[53],"board":[54],"doctor's":[57],"station":[58],"or":[59,70],"billboard":[61],"city":[64,79],"particular":[67],"font":[68],"size?\"":[69],"\"which":[71],"hotel":[72],"gives":[73],"view":[76],"skyline?\".":[80],"These":[81],"require":[83],"computing":[84],"differentiating":[86],"target":[91,143,151,159,168],"object":[92],"from":[93,152],"each":[94,112],"viewpoint":[95],"surrounding":[98],"space.":[99],"This":[100],"paper":[101],"presents":[102],"IndVizCMap":[103,129,175],"that":[104,144],"constructs":[105],"color":[108,120],"map":[109],"(VCM),":[110],"where":[111],"point":[113],"space":[116],"assigned":[118],"value":[121],"denoting":[122],"measure":[125],"target.":[128,186],"scalable,":[132],"efficient":[133],"comprehensive":[135],"solution":[136],"construct":[138],"VCM":[139,165,178],"fixed":[142,158],"considers":[145],"partial":[147],"viewpoints.":[153],"Data":[154],"structures":[155],"support":[160],"incremental":[161],"updates":[162],"if":[166],"moves":[169],"near-by":[171],"positions.":[172],"More":[173],"importantly,":[174],"can":[176],"output":[177],"considering":[179],"readability":[180],"text":[182],"data":[183],"displayed":[184],"on":[185]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-11-30T00:00:00"}
