{"id":"https://openalex.org/W2509460318","doi":"https://doi.org/10.1109/icip.2016.7532632","title":"How scenes imply actions in realistic videos?","display_name":"How scenes imply actions in realistic videos?","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2509460318","doi":"https://doi.org/10.1109/icip.2016.7532632","mag":"2509460318"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5014269015","display_name":"Hongsong Wang","orcid":"https://orcid.org/0000-0002-9464-1778"},"institutions":[{"id":"https://openalex.org/I4210142635","display_name":"PATH To Reading","ror":"https://ror.org/0482xmh13","country_code":"US","type":"other","lineage":["https://openalex.org/I4210142635"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongsong Wang","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210142635"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115695506","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-5750-6980"},"institutions":[{"id":"https://openalex.org/I4210142635","display_name":"PATH To Reading","ror":"https://ror.org/0482xmh13","country_code":"US","type":"other","lineage":["https://openalex.org/I4210142635"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210142635"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115602506","display_name":"Liang Wang","orcid":"https://orcid.org/0000-0001-5224-8647"},"institutions":[{"id":"https://openalex.org/I4210142635","display_name":"PATH To Reading","ror":"https://ror.org/0482xmh13","country_code":"US","type":"other","lineage":["https://openalex.org/I4210142635"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Wang","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210142635"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6761,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77328528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2016","issue":null,"first_page":"1619","last_page":"1623"},"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/T12290","display_name":"Human Motion and Animation","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11439","display_name":"Video Analysis and Summarization","score":0.9876000285148621,"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":0.8193442821502686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7423492670059204},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.683928906917572},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6513277888298035},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6302523612976074},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5868754982948303},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.575221061706543},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5536511540412903},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5444560647010803},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5241416096687317},{"id":"https://openalex.org/keywords/scene-statistics","display_name":"Scene statistics","score":0.4915827214717865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36348670721054077},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.1106376051902771}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8193442821502686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7423492670059204},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.683928906917572},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6513277888298035},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6302523612976074},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5868754982948303},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.575221061706543},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5536511540412903},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5444560647010803},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5241416096687317},{"id":"https://openalex.org/C197654239","wikidata":"https://www.wikidata.org/wiki/Q7430757","display_name":"Scene statistics","level":3,"score":0.4915827214717865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36348670721054077},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.1106376051902771},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"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:10.1109/icip.2016.7532632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"mag:3161912660","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201602213158332359","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W136504859","https://openalex.org/W1489737693","https://openalex.org/W1686810756","https://openalex.org/W1905722737","https://openalex.org/W1920196880","https://openalex.org/W1926645898","https://openalex.org/W1932274155","https://openalex.org/W2010399676","https://openalex.org/W2034328688","https://openalex.org/W2095242101","https://openalex.org/W2105101328","https://openalex.org/W2126574503","https://openalex.org/W2126579184","https://openalex.org/W2128305246","https://openalex.org/W2131042978","https://openalex.org/W2131590007","https://openalex.org/W2134670479","https://openalex.org/W2139893168","https://openalex.org/W2153635508","https://openalex.org/W2155983176","https://openalex.org/W2163292664","https://openalex.org/W2216949779","https://openalex.org/W4249279051","https://openalex.org/W6600983433","https://openalex.org/W6605536666","https://openalex.org/W6637373629","https://openalex.org/W6640153615","https://openalex.org/W6640416349","https://openalex.org/W6674853044","https://openalex.org/W6679512744","https://openalex.org/W6679792166","https://openalex.org/W6688365552"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W1990584060","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W2811106690","https://openalex.org/W2590798552","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W1991963900"],"abstract_inverted_index":{"People":[0],"drive":[1],"on":[2,65,79,95],"the":[3,8,11,16,28,70,111,120],"road":[4,12],"and":[5,32,72,84,86,124,135],"eat":[6],"in":[7],"kitchen.":[9],"Can":[10],"imply":[13,18],"driving":[14],"or":[15],"kitchen":[17],"eating?":[19],"This":[20],"paper":[21],"addresses":[22],"such":[23],"a":[24,41,50,131],"problem":[25],"by":[26,126],"studying":[27],"relations":[29],"between":[30,122],"actions":[31,123],"scenes.":[33],"To":[34],"get":[35],"effective":[36],"scene":[37,55,71,97,103,128],"representation,":[38],"we":[39,118],"use":[40],"deep":[42],"convolutional":[43],"neural":[44],"networks":[45],"(CNN)":[46],"model":[47],"trained":[48],"from":[49],"scene-centric":[51],"database":[52],"to":[53,68,130],"predict":[54],"responses":[56],"for":[57,114],"videos.":[58],"We":[59,76],"employ":[60],"two":[61,80],"encoding":[62],"schemes":[63],"based":[64,94],"frame":[66],"features":[67],"represent":[69],"its":[73],"changes,":[74],"respectively.":[75],"conduct":[77],"experiments":[78],"challenging":[81],"datasets,":[82],"HMDB51":[83],"Hollywood2,":[85],"compare":[87],"action":[88,115,133],"recognition":[89],"results":[90,100,113],"of":[91],"different":[92,96],"encodings":[93],"features.":[98],"Our":[99],"demonstrate":[101],"that":[102],"features,":[104,109],"when":[105],"combined":[106],"with":[107],"motion":[108],"improve":[110],"state-of-the-art":[112],"recognition.":[116],"Finally,":[117],"explore":[119],"relationship":[121],"scenes":[125],"analyzing":[127],"preferences":[129],"particular":[132],"qualitatively":[134],"quantitatively.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
