{"id":"https://openalex.org/W1988281878","doi":"https://doi.org/10.1145/2647868.2654992","title":"What Can We Learn about Motion Videos from Still Images?","display_name":"What Can We Learn about Motion Videos from Still Images?","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W1988281878","doi":"https://doi.org/10.1145/2647868.2654992","mag":"1988281878"},"language":"en","primary_location":{"id":"doi:10.1145/2647868.2654992","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2647868.2654992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM international conference on Multimedia","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/A5067706427","display_name":"Jianguang Zhang","orcid":"https://orcid.org/0000-0001-7225-4649"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jianguang Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031819155","display_name":"Yahong Han","orcid":"https://orcid.org/0000-0003-2768-1398"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yahong Han","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University&Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University&Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035112538","display_name":"Jinhui Tang","orcid":"https://orcid.org/0000-0001-9008-222X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhui Tang","raw_affiliation_strings":["School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China","School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China#TAB#","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056686459","display_name":"Qinghua Hu","orcid":"https://orcid.org/0000-0001-7765-8095"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Hu","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University&Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University&Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005727907","display_name":"Jianmin Jiang","orcid":"https://orcid.org/0000-0002-7576-3999"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianmin Jiang","raw_affiliation_strings":["School of Computer Science & Software Engineering, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Software Engineering, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5067706427"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9755,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78958239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"973","last_page":"976"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9955000281333923,"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":0.8364517688751221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7612816095352173},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.7587968111038208},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6192410588264465},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6144231557846069},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6066359281539917},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6014463305473328},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5923299789428711},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5779995322227478},{"id":"https://openalex.org/keywords/motion-analysis","display_name":"Motion analysis","score":0.445436954498291},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4273897409439087},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3551408350467682}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8364517688751221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7612816095352173},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.7587968111038208},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6192410588264465},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6144231557846069},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6066359281539917},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6014463305473328},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5923299789428711},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5779995322227478},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.445436954498291},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4273897409439087},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3551408350467682},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2647868.2654992","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2647868.2654992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G1643591632","display_name":null,"funder_award_id":"61222210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2267401065","display_name":null,"funder_award_id":"61202166","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6082254728","display_name":null,"funder_award_id":"2.01E+13","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"},{"id":"https://openalex.org/G8425278960","display_name":null,"funder_award_id":"2013CB329304","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W1971695614","https://openalex.org/W1989666518","https://openalex.org/W1993229407","https://openalex.org/W2002686055","https://openalex.org/W2038765747","https://openalex.org/W2050964073","https://openalex.org/W2055600015","https://openalex.org/W2132551672","https://openalex.org/W2169393274","https://openalex.org/W2953265577","https://openalex.org/W4243260297","https://openalex.org/W4386207016"],"related_works":["https://openalex.org/W2055991023","https://openalex.org/W2104332279","https://openalex.org/W1978569796","https://openalex.org/W176798505","https://openalex.org/W2046491844","https://openalex.org/W2144481990","https://openalex.org/W1969019224","https://openalex.org/W2377635007","https://openalex.org/W2108395053","https://openalex.org/W2020434089"],"abstract_inverted_index":{"Human":[0],"action":[1,19,41,68,83,134,167],"recognition":[2,168,181],"from":[3,14,31,91,136,189],"motion":[4,22,25,54,140],"videos":[5,108,117,185],"plays":[6],"an":[7],"important":[8],"role":[9],"in":[10,21,43,118],"multimedia":[11],"analysis.":[12],"Different":[13],"the":[15,24,32,40,52,64,92,102,114,131,144,155,158,163,171,177,180],"temporal":[16],"cues":[17],"of":[18,66,77,133,157,166,183],"series":[20],"videos,":[23,55],"tendency":[26],"can":[27,47],"also":[28,175],"be":[29,48],"revealed":[30],"still":[33,45,105,137,190],"images":[34,46,94,106],"or":[35],"key":[36,98],"frames.":[37],"Thus,":[38],"if":[39],"knowledge":[42,187],"related":[44,93],"well":[49],"adapted":[50],"to":[51,62,112],"target":[53,96,119,184],"we":[56,73,121,142],"would":[57],"have":[58],"a":[59,75,123,148],"great":[60],"chance":[61],"improve":[63],"performance":[65,165],"video":[67],"recognition.":[69,84],"In":[70],"this":[71],"paper,":[72],"propose":[74],"framework":[76,160],"Still-to-Motion":[78],"Adaptation":[79],"(SMA)":[80],"for":[81],"human":[82],"Common":[85],"visual":[86],"features":[87,138],"are":[88,109],"extracted":[89],"both":[90],"and":[95,107,139,161],"videos'":[97],"frames,":[99],"by":[100,186],"which":[101],"gap":[103],"between":[104],"bridged.":[110],"Meanwhile,":[111],"utilize":[113],"unlabeled":[115],"training":[116],"domain,":[120],"incorporate":[122],"semi-supervised":[124],"process":[125],"into":[126,147],"our":[127],"framework.":[128],"By":[129],"minimizing":[130],"difference":[132],"prediction":[135],"features,":[141],"formulate":[143],"still-to-motion":[145],"adaptation":[146,188],"joint":[149],"optimization":[150],"process.":[151],"Experiments":[152],"successfully":[153],"demonstrate":[154],"effectiveness":[156],"proposed":[159],"show":[162],"better":[164],"compared":[169],"with":[170],"state-of-the-art":[172],"methods.":[173],"We":[174],"analyze":[176],"impact":[178],"on":[179],"results":[182],"images.":[191]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}