{"id":"https://openalex.org/W2781420319","doi":"https://doi.org/10.1109/ldav.2017.8231856","title":"Optimal viewpoint finding for space time cube to explore spatio-temporal characteristics of vehicle trajectories on crossroads","display_name":"Optimal viewpoint finding for space time cube to explore spatio-temporal characteristics of vehicle trajectories on crossroads","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2781420319","doi":"https://doi.org/10.1109/ldav.2017.8231856","mag":"2781420319"},"language":"en","primary_location":{"id":"doi:10.1109/ldav.2017.8231856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ldav.2017.8231856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 7th Symposium on Large Data Analysis and Visualization (LDAV)","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/A5072400997","display_name":"Masahiko Itoh","orcid":"https://orcid.org/0000-0002-1604-0715"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]},{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masahiko Itoh","raw_affiliation_strings":["The University of Tokyo, National Institute of Information and Communications Technology"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, National Institute of Information and Communications Technology","institution_ids":["https://openalex.org/I90023481","https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109280433","display_name":"Daisaku Yokoyama","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daisaku Yokoyama","raw_affiliation_strings":["The University of Tokyo"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005790090","display_name":"Masashi Toyoda","orcid":"https://orcid.org/0000-0001-9473-5531"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masashi Toyoda","raw_affiliation_strings":["The University of Tokyo"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056438865","display_name":"Masaru Kitsuregawa","orcid":"https://orcid.org/0000-0003-4027-2994"},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaru Kitsuregawa","raw_affiliation_strings":["The University of Tokyo, National Institute of Information and Communications Technology"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, National Institute of Information and Communications Technology","institution_ids":["https://openalex.org/I90023481","https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072400997"],"corresponding_institution_ids":["https://openalex.org/I74801974","https://openalex.org/I90023481"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19577375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"94","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9991000294685364,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9724000096321106,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.8106982707977295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7226296663284302},{"id":"https://openalex.org/keywords/cube","display_name":"Cube (algebra)","score":0.6743240356445312},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.638815701007843},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6154438257217407},{"id":"https://openalex.org/keywords/spacetime","display_name":"Spacetime","score":0.5720089673995972},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5441582798957825},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5147476196289062},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5107674598693848},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.47567740082740784},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46101298928260803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45778408646583557},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2735633850097656},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20660674571990967},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.070677250623703}],"concepts":[{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.8106982707977295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7226296663284302},{"id":"https://openalex.org/C53051483","wikidata":"https://www.wikidata.org/wiki/Q861555","display_name":"Cube (algebra)","level":2,"score":0.6743240356445312},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.638815701007843},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6154438257217407},{"id":"https://openalex.org/C130187892","wikidata":"https://www.wikidata.org/wiki/Q133327","display_name":"Spacetime","level":2,"score":0.5720089673995972},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5441582798957825},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5147476196289062},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5107674598693848},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.47567740082740784},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46101298928260803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45778408646583557},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2735633850097656},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20660674571990967},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.070677250623703},{"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/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},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ldav.2017.8231856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ldav.2017.8231856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 7th Symposium on Large Data Analysis and Visualization (LDAV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1527768716","https://openalex.org/W2027444103","https://openalex.org/W2128769229","https://openalex.org/W2141834649","https://openalex.org/W2147545324","https://openalex.org/W2151412512","https://openalex.org/W2152935971","https://openalex.org/W2210119327","https://openalex.org/W4210813334","https://openalex.org/W4237453232","https://openalex.org/W6678755304"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W2619807045","https://openalex.org/W2388758053","https://openalex.org/W93537448","https://openalex.org/W2949734191","https://openalex.org/W2017333877","https://openalex.org/W2048332520","https://openalex.org/W4233821346"],"abstract_inverted_index":{"Visualization":[0],"combining":[1],"space":[2],"and":[3,30],"time":[4,11],"in":[5],"a":[6,76,101,105,111],"single":[7],"display":[8],"called":[9],"\u201cspace":[10],"cube":[12],"(STC)\u201d":[13],"is":[14,42],"used":[15],"for":[16,44,51,67],"visualizing":[17,68],"spatio-temporal":[18,70],"movement":[19],"data.":[20],"An":[21],"STC":[22],"enables":[23],"us":[24],"to":[25,46,124],"explore":[26],"not":[27],"only":[28],"shapes":[29],"positions":[31],"of":[32,55,72,79,98,107],"vehicle":[33,73],"trajectories":[34,74,99],"but":[35],"also":[36],"their":[37],"temporal":[38],"distributions.":[39],"However,":[40],"it":[41],"difficult":[43],"users":[45],"manually":[47],"find":[48],"optimal":[49,63],"viewpoints":[50,64],"understanding":[52],"such":[53],"characteristics":[54,71],"trajectories.":[56],"In":[57],"this":[58,85],"paper,":[59],"we":[60,87],"propose":[61],"an":[62,82,89],"selection":[65],"method":[66,120],"the":[69],"on":[75,92,110],"large":[77],"set":[78],"crossroads":[80,125],"using":[81],"STC.":[83],"For":[84],"purpose,":[86],"provide":[88],"algorithm":[90],"based":[91],"viewpoint":[93,108],"entropy":[94],"weighted":[95],"by":[96],"angles":[97],"with":[100,126],"horizontal":[102],"line":[103],"as":[104],"measure":[106],"quality":[109],"projected":[112],"2D":[113],"image.":[114],"We":[115],"then":[116],"argue":[117],"that":[118],"our":[119],"can":[121],"be":[122],"adapted":[123],"different":[127],"trajectory":[128],"shapes.":[129]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
