{"id":"https://openalex.org/W1974714405","doi":"https://doi.org/10.1109/icip.2013.6738735","title":"Multi-class action recognition based on inverted index of action states","display_name":"Multi-class action recognition based on inverted index of action states","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W1974714405","doi":"https://doi.org/10.1109/icip.2013.6738735","mag":"1974714405"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738735","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 Image Processing","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/A5040382897","display_name":"Lishen Pei","orcid":"https://orcid.org/0000-0002-4663-870X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lishen Pei","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China","Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682790","display_name":"Mao Ye","orcid":"https://orcid.org/0000-0003-4760-8702"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mao Ye","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China","Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060753420","display_name":"Pei Xu","orcid":"https://orcid.org/0000-0001-7851-3971"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pei Xu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China","Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080443864","display_name":"Xuezhuan Zhao","orcid":"https://orcid.org/0000-0001-9523-9679"},"institutions":[{"id":"https://openalex.org/I4210089192","display_name":"Chengdu Institute of Information Technology (China)","ror":"https://ror.org/00bwfrq04","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210089192"]},{"id":"https://openalex.org/I4210152908","display_name":"Chengdu Institute of Biology","ror":"https://ror.org/04w5etv87","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210152908"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuezhuan Zhao","raw_affiliation_strings":["Chinese Academy of Science, Chengdu Institute of Computer Application, Chengdu 611731, P. R. China","Chengdu Inst. of Comput. Applic., Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Science, Chengdu Institute of Computer Application, Chengdu 611731, P. R. China","institution_ids":["https://openalex.org/I4210152908"]},{"raw_affiliation_string":"Chengdu Inst. of Comput. Applic., Chengdu, China","institution_ids":["https://openalex.org/I4210089192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100455227","display_name":"Tao Li","orcid":"https://orcid.org/0000-0001-5873-0952"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Li","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China","Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8288,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75236318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3562","last_page":"3566"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9984999895095825,"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/cluster-analysis","display_name":"Cluster analysis","score":0.6656646728515625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6494657397270203},{"id":"https://openalex.org/keywords/inverted-index","display_name":"Inverted index","score":0.6285076141357422},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5912423133850098},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5749844908714294},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5706194639205933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5662197470664978},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.5356523394584656},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5166035890579224},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5074493288993835},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.48818737268447876},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4672510623931885},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3675999045372009},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33406180143356323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2480480968952179},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.2066831886768341},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10999003052711487}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6656646728515625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6494657397270203},{"id":"https://openalex.org/C130590232","wikidata":"https://www.wikidata.org/wiki/Q1671754","display_name":"Inverted index","level":3,"score":0.6285076141357422},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5912423133850098},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5749844908714294},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5706194639205933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5662197470664978},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.5356523394584656},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5166035890579224},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5074493288993835},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.48818737268447876},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4672510623931885},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3675999045372009},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33406180143356323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2480480968952179},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.2066831886768341},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10999003052711487},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2013.6738735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738735","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 Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1590012787","https://openalex.org/W2010399676","https://openalex.org/W2025632878","https://openalex.org/W2055753778","https://openalex.org/W2103822353","https://openalex.org/W2123477621","https://openalex.org/W2129496455","https://openalex.org/W2132103241","https://openalex.org/W2158169396","https://openalex.org/W2168356304","https://openalex.org/W2317002898","https://openalex.org/W2547599103","https://openalex.org/W6635302267","https://openalex.org/W6679065380","https://openalex.org/W6729213900"],"related_works":["https://openalex.org/W2124379162","https://openalex.org/W2805651586","https://openalex.org/W2902549273","https://openalex.org/W2981001626","https://openalex.org/W2357738827","https://openalex.org/W1966383678","https://openalex.org/W2486717996","https://openalex.org/W3107197685","https://openalex.org/W33990053","https://openalex.org/W2790184291"],"abstract_inverted_index":{"A":[0],"fast":[1,119],"inverted":[2,68,85,120],"index":[3,69,86,105,121],"based":[4,122],"algorithm":[5],"is":[6,29,103,114],"introduced":[7],"for":[8],"multi-class":[9,123],"action":[10,40,95,101,124],"recognition.":[11],"At":[12],"first,":[13],"we":[14,65,92,116],"compute":[15,93],"the":[16,20,35,39,43,56,61,67,73,76,84,89,104,107,134],"shape-motion":[17],"features":[18],"of":[19,34,52,106,136],"automatically":[21],"localized":[22],"actor.":[23],"Secondly,":[24],"a":[25,118],"binary":[26,58],"state":[27,57,63,74,77],"tree":[28],"built":[30],"by":[31,54,82],"hierarchically":[32],"clustering":[33],"extracted":[36],"features,":[37],"and":[38,75],"states":[41,53],"are":[42,48,80],"cluster":[44],"centers.":[45],"Then":[46],"videos":[47],"represented":[49],"as":[50],"sequences":[51],"searching":[55],"tree.":[59],"With":[60,88],"labeled":[62],"sequences,":[64],"create":[66],"tables.":[70,87],"During":[71],"testing,":[72],"transition":[78],"scores":[79],"computed":[81],"querying":[83],"learned":[90],"weight,":[91],"an":[94],"recognition":[96,125],"score":[97,109],"vector.":[98],"The":[99],"recognized":[100],"class":[102],"maximum":[108],"element.":[110],"Our":[111],"key":[112],"contribution":[113],"that":[115],"propose":[117],"approach.":[126,138],"Experiments":[127],"on":[128],"several":[129],"challenging":[130],"data":[131],"sets":[132],"confirm":[133],"performance":[135],"this":[137]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}