{"id":"https://openalex.org/W4410949855","doi":"https://doi.org/10.1109/access.2025.3575491","title":"Video Analysis and Frame Prediction Based on Improved Object Detection and ConvGRU","display_name":"Video Analysis and Frame Prediction Based on Improved Object Detection and ConvGRU","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410949855","doi":"https://doi.org/10.1109/access.2025.3575491"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3575491","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3575491","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.2025.3575491","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Xijuan Wang","orcid":"https://orcid.org/0009-0000-2999-6815"},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Xijuan Wang","raw_affiliation_strings":["Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia"],"raw_orcid":"https://orcid.org/0009-0000-2999-6815","affiliations":[{"raw_affiliation_string":"Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078849556","display_name":"Ru Chen","orcid":"https://orcid.org/0000-0002-3201-3709"},"institutions":[{"id":"https://openalex.org/I4210146767","display_name":"Shaanxi Institute of International Trade & Commerce","ror":"https://ror.org/04re28h79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210146767"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ru Chen","raw_affiliation_strings":["Faculty of Information Engineering, Shaanxi University of International Trade and Commerce, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering, Shaanxi University of International Trade and Commerce, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210146767"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82724352"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0875,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77845854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"13","issue":null,"first_page":"96069","last_page":"96082"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9997000098228455,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9997000098228455,"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":0.9988999962806702,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9975000023841858,"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":0.7647703289985657},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6289054155349731},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5685049295425415},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5646642446517944},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5634335279464722},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4828677475452423},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35627520084381104},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0669471025466919}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7647703289985657},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6289054155349731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5685049295425415},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5646642446517944},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5634335279464722},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4828677475452423},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35627520084381104},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0669471025466919}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3575491","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3575491","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:doaj.org/article:e027901b9b20418a933842ff8e6ba37d","is_oa":true,"landing_page_url":"https://doaj.org/article/e027901b9b20418a933842ff8e6ba37d","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 96069-96082 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3575491","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3575491","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W4221002449","https://openalex.org/W4221086736","https://openalex.org/W4224212734","https://openalex.org/W4316660910","https://openalex.org/W4321445764","https://openalex.org/W4323034675","https://openalex.org/W4324125864","https://openalex.org/W4324355347","https://openalex.org/W4362523794","https://openalex.org/W4366396441","https://openalex.org/W4376481380","https://openalex.org/W4376644677","https://openalex.org/W4377235208","https://openalex.org/W4378983073","https://openalex.org/W4380356709","https://openalex.org/W4382728183","https://openalex.org/W4383551299","https://openalex.org/W4386140257","https://openalex.org/W4386322076","https://openalex.org/W4386840898","https://openalex.org/W4387948601","https://openalex.org/W4388996763","https://openalex.org/W4389670407","https://openalex.org/W4390533457","https://openalex.org/W4390535133","https://openalex.org/W4391165314","https://openalex.org/W4391956374","https://openalex.org/W4392374995","https://openalex.org/W4392450284","https://openalex.org/W4392811474","https://openalex.org/W4393159976","https://openalex.org/W4393185131","https://openalex.org/W4393241214","https://openalex.org/W4401028289","https://openalex.org/W4401358014","https://openalex.org/W4401732154"],"related_works":["https://openalex.org/W2737719445","https://openalex.org/W2898210368","https://openalex.org/W4239098401","https://openalex.org/W2382480268","https://openalex.org/W1976518449","https://openalex.org/W2732837990","https://openalex.org/W2755342338","https://openalex.org/W2363366881","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Video":[0],"analysis":[1,165,186,197],"is":[2],"of":[3,52,81,87,93,110,119,184,195,203],"crucial":[4],"importance":[5],"in":[6],"areas":[7],"such":[8],"as":[9],"information":[10],"dissemination,":[11],"understanding,":[12],"and":[13,22,57,89,98,116,150,166,173,187,193,199],"environmental":[14],"perception.":[15],"To":[16],"further":[17],"improve":[18],"video":[19,24,35,45,164,175,185,196,205],"processing":[20],"technology":[21],"increase":[23],"fluency,":[25],"this":[26],"article":[27],"innovatively":[28],"uses":[29],"improved":[30,65,69],"object":[31],"detection":[32,71,79,91,108],"algorithms":[33],"for":[34],"analysis.":[36],"The":[37,60,95,112],"study":[38,178],"also":[39],"improves":[40],"neural":[41],"networks":[42],"to":[43,126],"construct":[44],"frame":[46,121,134,167,188],"prediction":[47,122,135,144,153,168],"models":[48,131,136,154],"with":[49,77,105],"the":[50,64,120,162,182,191,201],"help":[51],"motion":[53],"perception,":[54],"synthetic":[55],"streaming,":[56],"other":[58],"technologies.":[59],"results":[61],"demonstrated":[62],"that":[63],"algorithm":[66],"has":[67],"significantly":[68],"its":[70],"performance":[72],"after":[73],"introducing":[74],"improvement":[75],"measures,":[76],"a":[78,83,90,106],"accuracy":[80,100,109],"0.988,":[82],"floating-point":[84],"calculation":[85],"count":[86],"5.732G,":[88],"speed":[92],"270.646fps.":[94],"loss":[96],"function":[97],"average":[99],"mean":[101],"have":[102,170],"been":[103],"improved,":[104],"maximum":[107],"0.947.":[111],"PSNR,":[113],"structural":[114],"similarity,":[115],"interpolation":[117],"error":[118],"model":[123],"were":[124],"superior":[125],"existing":[127],"advanced":[128],"models.":[129],"Comparative":[130],"included":[132],"future":[133],"based":[137,146,155],"on":[138,147,156],"generative":[139],"auxiliary":[140],"discrimination":[141],"networks,":[142],"multi-source":[143],"frameworks":[145],"spherical":[148],"convolution,":[149],"inverted":[151],"pyramid":[152],"cross-optical":[157],"flow":[158],"registration.":[159],"In":[160],"summary,":[161],"designed":[163],"methods":[169],"achieved":[171],"efficient":[172],"high-quality":[174],"processing.":[176],"This":[177],"can":[179],"effectively":[180],"enhance":[181],"ability":[183],"prediction,":[189],"promote":[190],"innovation":[192],"development":[194,202],"technology,":[198],"accelerate":[200],"intelligent":[204],"applications.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
