{"id":"https://openalex.org/W1975723154","doi":"https://doi.org/10.1109/cvpr.2010.5539871","title":"Temporal causality for the analysis of visual events","display_name":"Temporal causality for the analysis of visual events","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W1975723154","doi":"https://doi.org/10.1109/cvpr.2010.5539871","mag":"1975723154"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5539871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","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/A5091554460","display_name":"K. Prabhakar","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Karthir Prabhakar","raw_affiliation_strings":["School of Interactive Computing, Georgia Institute of Technology, USA","Health Systems Institute and RIM@GT School of Interactive Computing, Georgia Institute of Technology"],"affiliations":[{"raw_affiliation_string":"School of Interactive Computing, Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Health Systems Institute and RIM@GT School of Interactive Computing, Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101539621","display_name":"Sangmin Oh","orcid":"https://orcid.org/0000-0001-7019-3117"},"institutions":[{"id":"https://openalex.org/I74786994","display_name":"Kitware (United States)","ror":"https://ror.org/02s2acn37","country_code":"US","type":"company","lineage":["https://openalex.org/I74786994"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sangmin Oh","raw_affiliation_strings":["Kitware, Inc., USA","Kitware Incorporated#TAB#"],"affiliations":[{"raw_affiliation_string":"Kitware, Inc., USA","institution_ids":["https://openalex.org/I74786994"]},{"raw_affiliation_string":"Kitware Incorporated#TAB#","institution_ids":["https://openalex.org/I74786994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338593","display_name":"Ping Wang","orcid":"https://orcid.org/0000-0001-5759-8283"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ping Wang","raw_affiliation_strings":["School of Interactive Computing, Georgia Institute of Technology, USA","Health Systems Institute and RIM@GT School of Interactive Computing, Georgia Institute of Technology"],"affiliations":[{"raw_affiliation_string":"School of Interactive Computing, Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Health Systems Institute and RIM@GT School of Interactive Computing, Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017564609","display_name":"Gregory D. Abowd","orcid":"https://orcid.org/0000-0002-3408-587X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory D. Abowd","raw_affiliation_strings":["School of Interactive Computing, Georgia Institute of Technology, USA","Health Systems Institute and RIM@GT School of Interactive Computing, Georgia Institute of Technology"],"affiliations":[{"raw_affiliation_string":"School of Interactive Computing, Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Health Systems Institute and RIM@GT School of Interactive Computing, Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002228469","display_name":"James M. Rehg","orcid":"https://orcid.org/0000-0003-1793-5462"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James M. Rehg","raw_affiliation_strings":["School of Interactive Computing, Georgia Institute of Technology, USA","Health Systems Institute and RIM@GT School of Interactive Computing, Georgia Institute of Technology"],"affiliations":[{"raw_affiliation_string":"School of Interactive Computing, Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Health Systems Institute and RIM@GT School of Interactive Computing, Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091554460"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":10.6672,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.98684722,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1967","last_page":"1974"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9954000115394592,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9954000115394592,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9929999709129333,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/causality","display_name":"Causality (physics)","score":0.7749393582344055},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.700539767742157},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6925581097602844},{"id":"https://openalex.org/keywords/granger-causality","display_name":"Granger causality","score":0.677153468132019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6004780530929565},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5980895757675171},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.592746913433075},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5793290138244629},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5384580492973328},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5150394439697266},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47603917121887207},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.469643771648407},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4549212157726288},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3707647919654846},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2770867347717285},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18441009521484375}],"concepts":[{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.7749393582344055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.700539767742157},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6925581097602844},{"id":"https://openalex.org/C129824826","wikidata":"https://www.wikidata.org/wiki/Q2630107","display_name":"Granger causality","level":2,"score":0.677153468132019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6004780530929565},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5980895757675171},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.592746913433075},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5793290138244629},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5384580492973328},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5150394439697266},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47603917121887207},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.469643771648407},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4549212157726288},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3707647919654846},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2770867347717285},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18441009521484375},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2010.5539871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.227.7190","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.227.7190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cc.gatech.edu/%7Ekprabhak/publications/cvpr2010.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W42443960","https://openalex.org/W152533846","https://openalex.org/W1636081627","https://openalex.org/W1964769652","https://openalex.org/W1966220926","https://openalex.org/W1966965607","https://openalex.org/W1975862670","https://openalex.org/W1976727013","https://openalex.org/W1986517740","https://openalex.org/W1996592975","https://openalex.org/W2020163092","https://openalex.org/W2025371899","https://openalex.org/W2052197092","https://openalex.org/W2095787854","https://openalex.org/W2100916003","https://openalex.org/W2101567517","https://openalex.org/W2122243179","https://openalex.org/W2127784071","https://openalex.org/W2139117248","https://openalex.org/W2142194269","https://openalex.org/W2143023146","https://openalex.org/W2153030065","https://openalex.org/W2171352244","https://openalex.org/W2178225550","https://openalex.org/W2294116008","https://openalex.org/W2479761636","https://openalex.org/W2533739470","https://openalex.org/W2543747381","https://openalex.org/W2546643512","https://openalex.org/W2901391803","https://openalex.org/W4243109437","https://openalex.org/W4246750223","https://openalex.org/W6674589688","https://openalex.org/W6678807541"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W2035792466","https://openalex.org/W2977645287","https://openalex.org/W4251418261","https://openalex.org/W2118326920","https://openalex.org/W1972675643","https://openalex.org/W2056895937","https://openalex.org/W2154758532"],"abstract_inverted_index":{"We":[0,70],"present":[1],"a":[2,28,33,40,45],"novel":[3],"approach":[4],"to":[5,86],"the":[6,21,49],"causal":[7,68],"temporal":[8],"analysis":[9],"of":[10,23,32,48,59],"event":[11],"data":[12],"from":[13,95],"video":[14,34],"content.":[15],"Our":[16],"key":[17],"observation":[18],"is":[19],"that":[20,73,82],"sequence":[22,35],"visual":[24],"words":[25,62],"produced":[26],"by":[27],"space-time":[29],"dictionary":[30],"representation":[31],"can":[36,56],"be":[37],"interpreted":[38],"as":[39],"multivariate":[41],"point-process.":[42],"By":[43],"using":[44],"spectral":[46],"version":[47],"pairwise":[50],"test":[51],"for":[52],"Granger":[53],"causality,":[54],"we":[55,79],"identify":[57],"patterns":[58],"interactions":[60],"between":[61],"and":[63,78,91],"group":[64],"them":[65],"into":[66],"independent":[67],"sets.":[69],"demonstrate":[71,80],"qualitatively":[72],"this":[74],"produces":[75],"semantically-meaningful":[76],"groupings,":[77],"quantitatively":[81],"these":[83],"groupings":[84],"lead":[85],"improved":[87],"performance":[88],"in":[89],"retrieving":[90],"classifying":[92],"social":[93],"games":[94],"unstructured":[96],"videos.":[97]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":12}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
