{"id":"https://openalex.org/W1991963900","doi":"https://doi.org/10.1109/vcip.2013.6706382","title":"Seeing actions through scene context","display_name":"Seeing actions through scene context","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W1991963900","doi":"https://doi.org/10.1109/vcip.2013.6706382","mag":"1991963900"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2013.6706382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2013.6706382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Visual Communications and Image Processing (VCIP)","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/A5100461083","display_name":"Hongbo Zhang","orcid":"https://orcid.org/0000-0001-5536-5224"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong-Bo Zhang","raw_affiliation_strings":["Fujian Key lab of brain-like intelligent system, Xiamen, Fujian, China","Department of Cognitive Science, Xiamen University, Xiamen\u00a0, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key lab of brain-like intelligent system, Xiamen, Fujian, China","institution_ids":[]},{"raw_affiliation_string":"Department of Cognitive Science, Xiamen University, Xiamen\u00a0, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066468110","display_name":"Songzhi Su","orcid":"https://orcid.org/0000-0001-8961-9405"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song-Zhi Su","raw_affiliation_strings":["Fujian Key lab of brain-like intelligent system, Xiamen, Fujian, China","Department of Cognitive Science, Xiamen University, Xiamen\u00a0, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key lab of brain-like intelligent system, Xiamen, Fujian, China","institution_ids":[]},{"raw_affiliation_string":"Department of Cognitive Science, Xiamen University, Xiamen\u00a0, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081767617","display_name":"Shaozi Li","orcid":"https://orcid.org/0000-0001-5403-9945"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shao-Zi Li","raw_affiliation_strings":["Fujian Key lab of brain-like intelligent system, Xiamen, Fujian, China","Department of Cognitive Science, Xiamen University, Xiamen\u00a0, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key lab of brain-like intelligent system, Xiamen, Fujian, China","institution_ids":[]},{"raw_affiliation_string":"Department of Cognitive Science, Xiamen University, Xiamen\u00a0, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107832883","display_name":"Duansheng Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duan-Sheng Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, Huaqiao University, Fujian, China","Dept. of Comput. Sci. & Eng., Huaqiao Univ., Huaqiao, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Huaqiao University, Fujian, China","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Huaqiao Univ., Huaqiao, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058101262","display_name":"Bineng Zhong","orcid":"https://orcid.org/0000-0003-3423-1539"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bineng Zhong","raw_affiliation_strings":["Department of Computer Science and Engineering, Huaqiao University, Fujian, China","Dept. of Comput. Sci. & Eng., Huaqiao Univ., Huaqiao, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Huaqiao University, Fujian, China","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Huaqiao Univ., Huaqiao, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016080094","display_name":"Rongrong Ji","orcid":"https://orcid.org/0000-0001-9163-2932"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongrong Ji","raw_affiliation_strings":["Fujian Key lab of brain-like intelligent system, Xiamen, Fujian, China","Department of Cognitive Science, Xiamen University, Xiamen\u00a0, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key lab of brain-like intelligent system, Xiamen, Fujian, China","institution_ids":[]},{"raw_affiliation_string":"Department of Cognitive Science, Xiamen University, Xiamen\u00a0, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100461083"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0662459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"6"},"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":0.9970999956130981,"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":0.9934999942779541,"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":0.8134888410568237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7095390558242798},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6926204562187195},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6692026853561401},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6614711284637451},{"id":"https://openalex.org/keywords/scene-statistics","display_name":"Scene statistics","score":0.5420598983764648},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.5154741406440735},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5001516342163086},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.44855839014053345},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4440954923629761},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4258129596710205},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39008980989456177},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3242095112800598},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.15130862593650818},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.12189656496047974},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.08948689699172974}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8134888410568237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7095390558242798},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6926204562187195},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6692026853561401},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6614711284637451},{"id":"https://openalex.org/C197654239","wikidata":"https://www.wikidata.org/wiki/Q7430757","display_name":"Scene statistics","level":3,"score":0.5420598983764648},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.5154741406440735},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5001516342163086},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.44855839014053345},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4440954923629761},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4258129596710205},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39008980989456177},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3242095112800598},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.15130862593650818},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.12189656496047974},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.08948689699172974},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2013.6706382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2013.6706382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1864907493","https://openalex.org/W1972868332","https://openalex.org/W1983705368","https://openalex.org/W1993229407","https://openalex.org/W2002706836","https://openalex.org/W2040381230","https://openalex.org/W2062634420","https://openalex.org/W2099339725","https://openalex.org/W2100916003","https://openalex.org/W2106996050","https://openalex.org/W2108333036","https://openalex.org/W2120287021","https://openalex.org/W2123477621","https://openalex.org/W2130843763","https://openalex.org/W2142194269","https://openalex.org/W2154683974","https://openalex.org/W2158169396","https://openalex.org/W2162915993","https://openalex.org/W2376762032","https://openalex.org/W4253314985"],"related_works":["https://openalex.org/W1501776718","https://openalex.org/W2615136228","https://openalex.org/W657108774","https://openalex.org/W2390192952","https://openalex.org/W2480620430","https://openalex.org/W2373296418","https://openalex.org/W1515761309","https://openalex.org/W1991963900","https://openalex.org/W2145315825","https://openalex.org/W2024163894"],"abstract_inverted_index":{"Recognizing":[0],"human":[1],"actions":[2],"is":[3,51,96],"not":[4],"alone,":[5],"as":[6,38],"hinted":[7],"by":[8,25,88,105,115],"the":[9,17,21,36,74,101],"scene":[10,28,37,55,68,85],"herein.":[11],"In":[12],"this":[13,32],"paper,":[14],"we":[15,34,78],"investigate":[16],"possibility":[18],"to":[19,43,98,117],"boost":[20],"action":[22,45,48,65,87,102,108,121],"recognition":[23,109,122],"performance":[24],"exploiting":[26],"their":[27],"context":[29],"associated.":[30],"To":[31],"end,":[33],"model":[35],"a":[39,54,80,89],"mid-level":[40],"&#x201C;hidden":[41],"layer&#x201D;":[42],"bridge":[44],"descriptors":[46,62,69],"and":[47,67,86],"categories.":[49],"This":[50],"achieved":[52],"via":[53],"topic":[56],"model,":[57],"in":[58,119],"which":[59,95],"hybrid":[60],"visual":[61],"including":[63],"spatiotemporal":[64],"features":[66],"are":[70],"first":[71],"extracted":[72],"from":[73],"video":[75],"sequence.":[76],"Then,":[77],"learn":[79],"joint":[81],"probability":[82],"distribution":[83],"between":[84],"Naive":[90],"Bayesian":[91],"N-earest":[92],"Neighbor":[93],"algorithm,":[94],"adopted":[97],"jointly":[99],"infer":[100],"categories":[103],"online":[104],"combining":[106],"off-the-shelf":[107],"algorithms.":[110],"We":[111],"demonstrate":[112],"our":[113],"merits":[114],"comparing":[116],"state-of-the-arts":[118],"several":[120],"benchmarks.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
