{"id":"https://openalex.org/W2157431481","doi":"https://doi.org/10.1109/icra.2013.6630567","title":"Efficient temporal consistency for streaming video scene analysis","display_name":"Efficient temporal consistency for streaming video scene analysis","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2157431481","doi":"https://doi.org/10.1109/icra.2013.6630567","mag":"2157431481"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2013.6630567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2013.6630567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Efficient_Temporal_Consistency_for_Streaming_Video_Scene_Analysis/6554702","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113872462","display_name":"Ond\u0159ej Mik\u0161\u00edk","orcid":null},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Ondrej Miksik","raw_affiliation_strings":["Center for Machine Perception, Czech Technical University in Prague, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Center for Machine Perception, Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037345774","display_name":"Daniel Urda","orcid":"https://orcid.org/0000-0003-2662-798X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Munoz","raw_affiliation_strings":["The Robotics Institute, Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"The Robotics Institute, Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112411386","display_name":"J. Andrew Bagnell","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Andrew Bagnell","raw_affiliation_strings":["The Robotics Institute, Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"The Robotics Institute, Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075246991","display_name":"Martial Hebert","orcid":"https://orcid.org/0000-0003-4566-5930"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martial Hebert","raw_affiliation_strings":["The Robotics Institute, Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"The Robotics Institute, Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113872462"],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":null,"apc_paid":null,"fwci":6.358,"has_fulltext":true,"cited_by_count":59,"citation_normalized_percentile":{"value":0.97101224,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"133","last_page":"139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9993000030517578,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8346561789512634},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.7463454008102417},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6921768188476562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5911116003990173},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5682576298713684},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5229502320289612},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4798016846179962},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47914665937423706},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3496246933937073}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8346561789512634},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.7463454008102417},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6921768188476562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5911116003990173},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5682576298713684},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5229502320289612},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4798016846179962},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47914665937423706},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3496246933937073},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/icra.2013.6630567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2013.6630567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/6554702","is_oa":true,"landing_page_url":null,"pdf_url":"https://figshare.com/articles/journal_contribution/Efficient_Temporal_Consistency_for_Streaming_Video_Scene_Analysis/6554702","source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:repository.cmu.edu:robotics-1808","is_oa":false,"landing_page_url":"http://repository.cmu.edu/robotics/815","pdf_url":null,"source":{"id":"https://openalex.org/S4306400668","display_name":"Research Showcase @ Carnegie Mellon University (Carnegie Mellon University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I74973139","host_organization_name":"Carnegie Mellon University","host_organization_lineage":["https://openalex.org/I74973139"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Robotics Institute","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.258.8568","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.258.8568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ri.cmu.edu/pub_files/2012/9/miksik_cmutr_12.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.278.4359","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.278.4359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.miksik.co.uk/papers/miksik2013icra.pdf","raw_type":"text"},{"id":"doi:10.1184/r1/6554702.v1","is_oa":true,"landing_page_url":"https://doi.org/10.1184/r1/6554702.v1","pdf_url":null,"source":{"id":"https://openalex.org/S7407050927","display_name":"KiltHub Repository","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/6554702","is_oa":true,"landing_page_url":null,"pdf_url":"https://figshare.com/articles/journal_contribution/Efficient_Temporal_Consistency_for_Streaming_Video_Scene_Analysis/6554702","source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2157431481.pdf","grobid_xml":"https://content.openalex.org/works/W2157431481.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1423339008","https://openalex.org/W1479789543","https://openalex.org/W1530781137","https://openalex.org/W1532499126","https://openalex.org/W1542723449","https://openalex.org/W1551429860","https://openalex.org/W1581592866","https://openalex.org/W1610707153","https://openalex.org/W1792316426","https://openalex.org/W1913356549","https://openalex.org/W1981283549","https://openalex.org/W1997409415","https://openalex.org/W2011953904","https://openalex.org/W2019329118","https://openalex.org/W2030346542","https://openalex.org/W2059177033","https://openalex.org/W2100799972","https://openalex.org/W2106053110","https://openalex.org/W2106707410","https://openalex.org/W2117154949","https://openalex.org/W2120042939","https://openalex.org/W2129259959","https://openalex.org/W2137275576","https://openalex.org/W2138621090","https://openalex.org/W2143884379","https://openalex.org/W2144935315","https://openalex.org/W2156598602","https://openalex.org/W2158305599","https://openalex.org/W2159213092","https://openalex.org/W2159680539","https://openalex.org/W2165737454","https://openalex.org/W2169495281","https://openalex.org/W2171815231","https://openalex.org/W2544953446","https://openalex.org/W2798909945","https://openalex.org/W4244914727","https://openalex.org/W4256017923","https://openalex.org/W6628124331","https://openalex.org/W6628729794","https://openalex.org/W6631637103","https://openalex.org/W6632547051","https://openalex.org/W6632783177","https://openalex.org/W6635091746","https://openalex.org/W6638388375","https://openalex.org/W6639824712","https://openalex.org/W6675751002","https://openalex.org/W6677328822","https://openalex.org/W6679262086","https://openalex.org/W6680962578","https://openalex.org/W6681469950","https://openalex.org/W6729542845"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W2358990940","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4323929292"],"abstract_inverted_index":{"We":[0,101],"address":[1,41],"the":[2,135,138],"problem":[3,43],"of":[4,29,137],"image-based":[5],"scene":[6,91,108],"analysis":[7,92,109],"from":[8,15],"streaming":[9],"video,":[10],"as":[11],"would":[12],"be":[13,86],"seen":[14],"a":[16,61,82,96],"moving":[17],"platform,":[18],"in":[19,44,73,130],"order":[20],"to":[21,36,68],"efficiently":[22,87],"generate":[23],"spatially":[24],"and":[25,76,132],"temporally":[26],"consistent":[27],"predictions":[28,72,139],"semantic":[30,98,118],"categories":[31],"over":[32,105,140],"time.":[33,141],"In":[34],"contrast":[35],"previous":[37],"techniques":[38,110],"which":[39],"typically":[40],"this":[42],"batch":[45],"and/or":[46],"through":[47],"graphical":[48],"models,":[49],"we":[50],"demonstrate":[51,123],"that":[52,84,94,115,124],"by":[53],"learning":[54],"visual":[55],"similarities":[56],"between":[57],"pixels":[58],"across":[59],"frames,":[60],"simple":[62],"filtering":[63],"algorithfiltering":[64],"algorithmm":[65],"is":[66,81,127],"able":[67],"achieve":[69],"high":[70],"performance":[71],"an":[74],"efficient":[75,129],"online/causal":[77],"manner.":[78],"Our":[79,121],"technique":[80,93],"meta-algorithm":[83],"can":[85],"wrapped":[88],"around":[89],"any":[90],"produces":[95],"per-pixel":[97],"category":[99],"distribution.":[100],"validate":[102],"our":[103,125],"approach":[104,126],"three":[106,112],"different":[107,113,117],"on":[111],"datasets":[114],"contain":[116],"object":[119],"categories.":[120],"experiments":[122],"very":[128],"practice":[131],"substantially":[133],"improves":[134],"consistency":[136]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":4}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}