{"id":"https://openalex.org/W4210489963","doi":"https://doi.org/10.1145/3462218","title":"A Novel Multi-Modal Network-Based Dynamic Scene Understanding","display_name":"A Novel Multi-Modal Network-Based Dynamic Scene Understanding","publication_year":2022,"publication_date":"2022-01-27","ids":{"openalex":"https://openalex.org/W4210489963","doi":"https://doi.org/10.1145/3462218"},"language":"en","primary_location":{"id":"doi:10.1145/3462218","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3462218","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-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/A5030176158","display_name":"Md Azher Uddin","orcid":"https://orcid.org/0000-0002-7718-5627"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Md Azher Uddin","raw_affiliation_strings":["Department of Artificial Intelligence, Ajou University, Suwon-si, Gyeonggi-do, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Ajou University, Suwon-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043017939","display_name":"Joolekha Bibi Joolee","orcid":"https://orcid.org/0000-0001-5037-7672"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joolekha Bibi Joolee","raw_affiliation_strings":["Department of Computer Scienceand Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Scienceand Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039165136","display_name":"Young-Koo Lee","orcid":"https://orcid.org/0000-0003-2314-5395"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Koo Lee","raw_affiliation_strings":["Department of Computer Scienceand Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Scienceand Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068333871","display_name":"Kyung-Ah Sohn","orcid":"https://orcid.org/0000-0001-8941-1188"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyung-Ah Sohn","raw_affiliation_strings":["Department of Software and Computer Engineering, and Department of Artificial Intelligence, Ajou University, Suwon-si, Gyeonggi-do, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Software and Computer Engineering, and Department of Artificial Intelligence, Ajou University, Suwon-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I57664883"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030176158"],"corresponding_institution_ids":["https://openalex.org/I57664883"],"apc_list":null,"apc_paid":null,"fwci":0.3017,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51387414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"18","issue":"1","first_page":"1","last_page":"19"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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":0.9994000196456909,"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":0.8218305110931396},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6672935485839844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6095404624938965},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5436006188392639},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5250634551048279},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5170312523841858},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4276474118232727},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4059240221977234},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4051368236541748},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18708714842796326},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.171655535697937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8218305110931396},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6672935485839844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6095404624938965},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5436006188392639},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5250634551048279},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5170312523841858},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4276474118232727},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4059240221977234},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4051368236541748},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18708714842796326},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.171655535697937},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3462218","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3462218","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G1660340862","display_name":null,"funder_award_id":"NRF-2019R1A2C1006608","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G805834049","display_name":null,"funder_award_id":"2016-0-00406","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1628899544","https://openalex.org/W1648145179","https://openalex.org/W2006644697","https://openalex.org/W2006656585","https://openalex.org/W2027756614","https://openalex.org/W2048790245","https://openalex.org/W2058879167","https://openalex.org/W2063492238","https://openalex.org/W2064675550","https://openalex.org/W2130913433","https://openalex.org/W2139916508","https://openalex.org/W2146444479","https://openalex.org/W2162915993","https://openalex.org/W2259677467","https://openalex.org/W2342726332","https://openalex.org/W2479639417","https://openalex.org/W2512115693","https://openalex.org/W2554078916","https://openalex.org/W2570412145","https://openalex.org/W2592658867","https://openalex.org/W2747141180","https://openalex.org/W2765355371","https://openalex.org/W2796196973","https://openalex.org/W2889847952","https://openalex.org/W2898736742","https://openalex.org/W2900471873","https://openalex.org/W2904666201","https://openalex.org/W2913467217","https://openalex.org/W2995695921","https://openalex.org/W3011593554","https://openalex.org/W3016750620","https://openalex.org/W3021538729","https://openalex.org/W3044867770"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W147410782","https://openalex.org/W3022252430","https://openalex.org/W3103989898","https://openalex.org/W4287804464","https://openalex.org/W803346624","https://openalex.org/W3015684221"],"abstract_inverted_index":{"In":[0,60,109],"recent":[1],"years,":[2],"dynamic":[3,24,47,70,120,201,223],"scene":[4,48,71,224],"understanding":[5,22,72],"has":[6],"gained":[7],"attention":[8],"from":[9,73],"researchers":[10],"because":[11],"of":[12,148,218],"its":[13],"widespread":[14],"applications.":[15],"The":[16,206],"main":[17],"important":[18],"factor":[19],"in":[20,27],"successfully":[21],"the":[23,30,94,113,146,171,200,212,219],"scenes":[25],"lies":[26],"jointly":[28],"representing":[29],"appearance":[31,80],"and":[32,81,96,104],"motion":[33],"features":[34,99],"to":[35,45,57,92,111,138,198],"obtain":[36],"an":[37],"informative":[38],"description.":[39],"Numerous":[40],"methods":[41],"have":[42],"been":[43],"introduced":[44],"solve":[46],"recognition":[49],"problem,":[50],"nevertheless,":[51],"a":[52,65,118,179,191],"few":[53],"concerns":[54],"still":[55],"need":[56],"be":[58],"investigated.":[59],"this":[61,143],"article,":[62],"we":[63,116],"introduce":[64],"novel":[66,119],"multi-modal":[67,214],"network":[68,188,215],"for":[69,222],"video":[74],"data,":[75],"which":[76,132,169],"captures":[77],"both":[78],"spatial":[79,98,103],"temporal":[82,105,114,134,192],"dynamics":[83],"effectively.":[84],"Furthermore,":[85],"two-level":[86],"joint":[87],"tuning":[88],"layers":[89],"are":[90],"proposed":[91,213],"integrate":[93],"global":[95],"local":[97],"as":[100,102],"well":[101],"stream":[106],"deep":[107],"features.":[108],"order":[110],"extract":[112],"information,":[115],"present":[117],"descriptor,":[121],"namely,":[122],"Volume":[123,153],"Symmetric":[124],"Gradient":[125],"Local":[126,154],"Graph":[127],"Structure":[128],"(":[129,158,185],"VSGLGS":[130],"),":[131],"generates":[133],"feature":[135,164],"maps":[136],"similar":[137],"optical":[139,149],"flow":[140,150],"maps.":[141,151],"However,":[142],"approach":[144],"overcomes":[145],"issues":[147],"Additionally,":[152],"Directional":[155],"Transition":[156],"Pattern":[157],"VLDTP":[159],")":[160,187],"based":[161],"handcrafted":[162],"spatiotemporal":[163],"descriptor":[165],"is":[166,196],"also":[167],"introduced,":[168],"extracts":[170],"directional":[172],"information":[173,202],"through":[174],"exploiting":[175],"edge":[176],"responses.":[177],"Lastly,":[178],"stacked":[180],"Bidirectional":[181],"Long":[182],"Short-Term":[183],"Memory":[184],"Bi-LSTM":[186],"along":[189],"with":[190],"mixed":[193],"pooling":[194],"scheme":[195],"designed":[197],"achieve":[199],"without":[203],"noise":[204],"interference.":[205],"extensive":[207],"experimental":[208],"investigation":[209],"proves":[210],"that":[211],"outperforms":[216],"most":[217],"state-of-the-art":[220],"approaches":[221],"understanding.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}