{"id":"https://openalex.org/W2981774933","doi":"https://doi.org/10.1145/3343031.3351040","title":"Explainable Video Action Reasoning via Prior Knowledge and State Transitions","display_name":"Explainable Video Action Reasoning via Prior Knowledge and State Transitions","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2981774933","doi":"https://doi.org/10.1145/3343031.3351040","mag":"2981774933"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3351040","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3351040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5042406159","display_name":"Tao Zhuo","orcid":"https://orcid.org/0000-0001-8860-1887"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tao Zhuo","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068843001","display_name":"Zhiyong Cheng","orcid":"https://orcid.org/0000-0003-1109-5028"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Cheng","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364049","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-8345-1736"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020006712","display_name":"Yongkang Wong","orcid":"https://orcid.org/0000-0002-1239-4428"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yongkang Wong","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016415049","display_name":"Mohan Kankanhalli","orcid":"https://orcid.org/0000-0002-4846-2015"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Mohan Kankanhalli","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"521","last_page":"529"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998000264167786,"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":0.9948999881744385,"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":0.7836298942565918},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5880403518676758},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5818333625793457},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5208576321601868},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4706380069255829},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4523022770881653},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4305300712585449},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42978808283805847},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42636987566947937},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.41444656252861023},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36463019251823425},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3225770592689514},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21150413155555725}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836298942565918},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5880403518676758},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5818333625793457},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5208576321601868},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4706380069255829},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4523022770881653},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4305300712585449},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42978808283805847},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42636987566947937},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.41444656252861023},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36463019251823425},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3225770592689514},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21150413155555725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3343031.3351040","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3351040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/167786","is_oa":false,"landing_page_url":"https://scholarbank.nus.edu.sg/handle/10635/167786","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":null,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1498185956","https://openalex.org/W1498502445","https://openalex.org/W1582487692","https://openalex.org/W1815494026","https://openalex.org/W2024868105","https://openalex.org/W2032905890","https://openalex.org/W2095536970","https://openalex.org/W2098106399","https://openalex.org/W2105101328","https://openalex.org/W2122410182","https://openalex.org/W2123737024","https://openalex.org/W2137126099","https://openalex.org/W2137444342","https://openalex.org/W2142194269","https://openalex.org/W2144499799","https://openalex.org/W2145002876","https://openalex.org/W2146055337","https://openalex.org/W2156303437","https://openalex.org/W2172156083","https://openalex.org/W2194775991","https://openalex.org/W2263753396","https://openalex.org/W2277195237","https://openalex.org/W2322020277","https://openalex.org/W2479423890","https://openalex.org/W2519887557","https://openalex.org/W2558899534","https://openalex.org/W2563717578","https://openalex.org/W2579549467","https://openalex.org/W2607855566","https://openalex.org/W2625022521","https://openalex.org/W2746726611","https://openalex.org/W2777926144","https://openalex.org/W2778523960","https://openalex.org/W2795378892","https://openalex.org/W2806331055","https://openalex.org/W2888096830","https://openalex.org/W2889418103","https://openalex.org/W2894982307","https://openalex.org/W2963155035","https://openalex.org/W2963315828","https://openalex.org/W2963447367","https://openalex.org/W2963524571","https://openalex.org/W2963645879","https://openalex.org/W2964350391","https://openalex.org/W4300200438","https://openalex.org/W4302571916","https://openalex.org/W6685949537"],"related_works":["https://openalex.org/W1583422155","https://openalex.org/W4292070284","https://openalex.org/W2158321484","https://openalex.org/W4312933959","https://openalex.org/W4386298164","https://openalex.org/W3213252596","https://openalex.org/W1649619740","https://openalex.org/W1534006406","https://openalex.org/W4229080059","https://openalex.org/W4286257253"],"abstract_inverted_index":{"Human":[0],"action":[1,37,191],"analysis":[2],"and":[3,10,60,84,101,125,167,204,236],"understanding":[4],"in":[5,19,86,159],"videos":[6],"is":[7,27,68],"an":[8],"important":[9],"challenging":[11],"task.":[12],"Although":[13],"substantial":[14],"progress":[15],"has":[16],"been":[17],"made":[18],"past":[20],"years,":[21],"the":[22,71,87,98,160,179,190,212,249],"explainability":[23],"of":[24,48,56,73,81,182,194,207,240,251],"existing":[25],"methods":[26],"still":[28],"limited.":[29],"In":[30],"this":[31],"work,":[32],"we":[33,111],"propose":[34],"a":[35,74,79,108,114,140,244],"novel":[36],"reasoning":[38,59,192],"framework":[39],"that":[40],"uses":[41],"prior":[42,66,175],"knowledge":[43,67],"to":[44,120,138,187,218],"explain":[45,168],"semantic-level":[46,149,205],"observations":[47,206],"video":[49,76,89,109,145,150,161,208],"state":[50,105,157],"changes.":[51,210],"Our":[52],"method":[53,164,196,214],"takes":[54],"advantage":[55],"both":[57,201],"classical":[58],"modern":[61],"deep":[62],"learning":[63],"approaches.":[64],"Specifically,":[65],"defined":[69,96],"as":[70,91,93,227],"information":[72],"target":[75,88],"domain,":[77,90],"including":[78],"set":[80],"objects,":[82,123],"attributes":[83,124],"relationships":[85],"well":[92],"relevant":[94],"actions":[95,171,222],"by":[97,133,153,184,200],"temporal":[99],"attribute":[100],"relationship":[102],"changes":[103],"(i.e.":[104],"transitions).":[106],"Given":[107],"sequence,":[110],"first":[112],"generate":[113],"scene":[115,129],"graph":[116,142],"on":[117,243],"each":[118,156],"frame":[119],"represent":[121],"concerned":[122],"relationships.":[126],"Then":[127],"those":[128,170],"graphs":[130],"are":[131,172],"associated":[132],"tracking":[134],"objects":[135],"across":[136],"frames":[137],"form":[139],"spatio-temporal":[141],"(also":[143],"called":[144],"graph),":[146],"which":[147],"represents":[148],"states.":[151],"Finally,":[152],"sequentially":[154],"examining":[155],"transition":[158],"graph,":[162],"our":[163,195,252],"can":[165,197,215],"detect":[166,219],"how":[169,237],"executed":[173],"with":[174,223],"knowledge,":[176],"just":[177],"like":[178],"logical":[180,202],"manner":[181],"thinking":[183],"humans.":[185],"Compared":[186],"previous":[188],"works,":[189],"results":[193],"be":[198,216],"explained":[199],"rules":[203],"content":[209],"Besides,":[211],"proposed":[213],"used":[217],"multiple":[220],"concurrent":[221],"detailed":[224],"information,":[225],"such":[226],"who":[228],"(particular":[229],"objects),":[230],"when":[231],"(time),":[232],"where":[233],"(object":[234],"locations)":[235],"(what":[238],"kind":[239],"changes).":[241],"Experiments":[242],"re-annotated":[245],"dataset":[246],"CAD-120":[247],"show":[248],"effectiveness":[250],"method.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
