{"id":"https://openalex.org/W4413318913","doi":"https://doi.org/10.1109/access.2025.3600178","title":"ActionSync Video Transformation: Automated Object Removal and Responsive Effects in Motion Videos Using Hybrid CNN and GRU","display_name":"ActionSync Video Transformation: Automated Object Removal and Responsive Effects in Motion Videos Using Hybrid CNN and GRU","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413318913","doi":"https://doi.org/10.1109/access.2025.3600178"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3600178","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3600178","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3600178","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089348789","display_name":"Muhammad Asif Habib","orcid":"https://orcid.org/0000-0002-2675-1975"},"institutions":[{"id":"https://openalex.org/I240666556","display_name":"Imam Mohammad ibn Saud Islamic University","ror":"https://ror.org/05gxjyb39","country_code":"SA","type":"education","lineage":["https://openalex.org/I240666556"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Muhammad Asif Habib","raw_affiliation_strings":["College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-2675-1975","affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I240666556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039128929","display_name":"Umar Raza","orcid":"https://orcid.org/0000-0002-9810-1285"},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Umar Raza","raw_affiliation_strings":["Department of Engineering, Manchester Metropolitan University, Manchester, U.K","Department of Engineering, Manchester Metropolitan University, Manchester, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-9810-1285","affiliations":[{"raw_affiliation_string":"Department of Engineering, Manchester Metropolitan University, Manchester, U.K","institution_ids":["https://openalex.org/I11983389"]},{"raw_affiliation_string":"Department of Engineering, Manchester Metropolitan University, Manchester, United Kingdom","institution_ids":["https://openalex.org/I11983389"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089648638","display_name":"Sohail Jabbar","orcid":"https://orcid.org/0009-0007-5805-0659"},"institutions":[{"id":"https://openalex.org/I240666556","display_name":"Imam Mohammad ibn Saud Islamic University","ror":"https://ror.org/05gxjyb39","country_code":"SA","type":"education","lineage":["https://openalex.org/I240666556"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Sohail Jabbar","raw_affiliation_strings":["College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0009-0007-5805-0659","affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I240666556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075242305","display_name":"Muhammad Farhan","orcid":"https://orcid.org/0000-0002-3649-5717"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Farhan","raw_affiliation_strings":["Department of Computer Science, COMSATS University Islamabad, Sahiwal Campus, Sahiwal, Pakistan","Department of Computer Science, COMSATS University Islamabad, Sahiwal Campus, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-3649-5717","affiliations":[{"raw_affiliation_string":"Department of Computer Science, COMSATS University Islamabad, Sahiwal Campus, Sahiwal, Pakistan","institution_ids":["https://openalex.org/I16076960"]},{"raw_affiliation_string":"Department of Computer Science, COMSATS University Islamabad, Sahiwal Campus, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050849175","display_name":"Farhan Ullah","orcid":"https://orcid.org/0000-0002-1030-1275"},"institutions":[{"id":"https://openalex.org/I138564716","display_name":"Prince Mohammad bin Fahd University","ror":"https://ror.org/03d64na34","country_code":"SA","type":"education","lineage":["https://openalex.org/I138564716"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Farhan Ullah","raw_affiliation_strings":["Cybersecurity Center, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia","Associate Research Professor, Cybersecurity Center of Prince Mohammad Bin Fahd University, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-1030-1275","affiliations":[{"raw_affiliation_string":"Cybersecurity Center, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia","institution_ids":["https://openalex.org/I138564716"]},{"raw_affiliation_string":"Associate Research Professor, Cybersecurity Center of Prince Mohammad Bin Fahd University, Saudi Arabia","institution_ids":["https://openalex.org/I138564716"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17700592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"149834","last_page":"149852"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9969000220298767,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9969000220298767,"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":0.9886000156402588,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9879000186920166,"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-vision","display_name":"Computer vision","score":0.797588586807251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7811902761459351},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7494926452636719},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5559273362159729},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5504485368728638},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5278672575950623},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.47750920057296753},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4445471167564392}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.797588586807251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7811902761459351},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7494926452636719},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5559273362159729},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5504485368728638},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5278672575950623},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.47750920057296753},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4445471167564392},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2025.3600178","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3600178","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:e-space.mmu.ac.uk:641629","is_oa":false,"landing_page_url":"https://orcid.org/0000-0002-2675-1975","pdf_url":null,"source":{"id":"https://openalex.org/S4306401617","display_name":"e-space (Manchester Metropolitan University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11983389","host_organization_name":"Manchester Metropolitan University","host_organization_lineage":["https://openalex.org/I11983389"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:455a388e362e47a28374ada8b733d7f2","is_oa":true,"landing_page_url":"https://doaj.org/article/455a388e362e47a28374ada8b733d7f2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 149834-149852 (2025)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/32549529","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/ActionSync_Video_Transformation_Automated_Object_Removal_and_Responsive_Effects_in_Motion_Videos_using_Hybrid_CNN_and_GRU/32549529","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3600178","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3600178","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1777628566","https://openalex.org/W2050579439","https://openalex.org/W2411063280","https://openalex.org/W2739465613","https://openalex.org/W2752236330","https://openalex.org/W2791961641","https://openalex.org/W2795087793","https://openalex.org/W2796830519","https://openalex.org/W2806175674","https://openalex.org/W2904835235","https://openalex.org/W2950579554","https://openalex.org/W2964942120","https://openalex.org/W2966421984","https://openalex.org/W2972189363","https://openalex.org/W2973673960","https://openalex.org/W3004489678","https://openalex.org/W3007605881","https://openalex.org/W3020985685","https://openalex.org/W3038413136","https://openalex.org/W3040552910","https://openalex.org/W3080642835","https://openalex.org/W3094270153","https://openalex.org/W3098774131","https://openalex.org/W3101308812","https://openalex.org/W3110984360","https://openalex.org/W3137167006","https://openalex.org/W3160886270","https://openalex.org/W3163658555","https://openalex.org/W3172374794","https://openalex.org/W3197716485","https://openalex.org/W3200663463","https://openalex.org/W4289209550","https://openalex.org/W4293663458","https://openalex.org/W4322012185","https://openalex.org/W4360596244","https://openalex.org/W4386498973","https://openalex.org/W4411869214"],"related_works":["https://openalex.org/W2353644209","https://openalex.org/W2737719445","https://openalex.org/W2898210368","https://openalex.org/W4239098401","https://openalex.org/W2593663830","https://openalex.org/W2348743188","https://openalex.org/W2902317490","https://openalex.org/W2463239216","https://openalex.org/W4387423451","https://openalex.org/W4205448459"],"abstract_inverted_index":{"Large":[0],"data":[1],"volumes,":[2],"dynamic":[3],"scenes,":[4],"and":[5,32,97,118,129,134,150,168,192,206,218,236],"intricate":[6],"object":[7,95,127,151,190],"motions":[8,96],"make":[9],"video":[10,34,44,125,173,186,227],"analysis":[11],"extremely":[12],"difficult.":[13],"Traditional":[14],"methods":[15],"depend":[16],"on":[17,155,182,208],"human-crafted":[18],"features":[19,68],"that":[20,53,213],"are":[21,54,79],"not":[22],"scalable.":[23],"This":[24],"work":[25],"develops":[26],"a":[27,82,142,160,183],"deep":[28],"neural":[29,50],"network-powered":[30],"automated":[31,43],"controllable":[33],"transformation":[35,45],"system.":[36],"The":[37,76,138,200],"main":[38],"technique":[39],"consists":[40],"of":[41,94,101,115],"an":[42,108],"pipeline":[46],"driven":[47],"by":[48],"spatial-temporal":[49],"network":[51],"components":[52,220],"systematically":[55],"connected.":[56],"A":[57],"16-layer":[58],"Convolutional":[59],"Neural":[60],"Network":[61],"(CNN)":[62],"encoder":[63],"first":[64],"extracts":[65],"hierarchical":[66],"visual":[67],"from":[69],"individual":[70,113],"frames":[71,102],"to":[72,103,178,230],"achieve":[73],"spatial":[74,133],"understanding.":[75],"CNN":[77,117],"encodings":[78],"fed":[80],"into":[81,120,171],"512-unit":[83],"Gated":[84],"Recurrent":[85],"Unit":[86],"(GRU)":[87],"sequencer,":[88],"which":[89,146],"models":[90],"long-range":[91],"sequential":[92],"dynamics":[93],"interactions":[98,130],"spanning":[99],"thousands":[100],"gain":[104],"temporal":[105,135],"context.":[106],"Subsequently,":[107],"attentional":[109],"transformer":[110,219],"integrates":[111],"the":[112,116,165,214,231,240],"strengths":[114],"GRU":[119],"unified":[121],"space-time":[122],"representations":[123,140],"reflecting":[124],"contents,":[126],"relationships,":[128],"over":[131],"both":[132],"dimensions":[136],"simultaneously.":[137],"context-aware":[139],"inform":[141],"specialized":[143],"controller":[144],"module,":[145],"deliberately":[147],"adjusts":[148],"backgrounds":[149,167],"foreground":[152],"layers":[153],"based":[154],"their":[156],"modeled":[157],"connections.":[158],"Finally,":[159],"flexible":[161],"effects":[162,176,195,246],"renderer":[163],"composites":[164],"transformed":[166],"adjusted":[169],"objects":[170],"novel":[172],"sequences":[174],"with":[175,196],"synchronized":[177],"original":[179,232],"timelines.":[180],"Evaluations":[181],"large":[184],"51-category":[185],"benchmark":[187],"demonstrate":[188],"responsive":[189],"removal":[191],"background":[193],"substitution":[194],"strong":[197],"system":[198],"accuracy.":[199],"framework":[201],"achieves":[202],"high":[203],"precision,":[204],"recall,":[205],"performance":[207],"error":[209],"metrics.":[210],"Ablations":[211],"confirm":[212],"fused":[215],"CNN,":[216],"GRU,":[217],"enable":[221],"effective":[222],"context":[223],"modeling":[224],"for":[225,243],"deliberate":[226],"manipulations":[228],"aligned":[229],"footage.":[233],"Both":[234],"quantitative":[235],"qualitative":[237],"outcomes":[238],"evidence":[239],"system\u2019s":[241],"capacity":[242],"automated,":[244],"adaptive":[245],"generation":[247],"via":[248],"joint":[249],"spatio-temporal":[250],"reasoning.":[251]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}