{"id":"https://openalex.org/W7155528207","doi":"https://doi.org/10.1016/j.knosys.2026.116048","title":"Unsupervised video stitching via spatiotemporal coupling with temporal propagation and dynamic memory","display_name":"Unsupervised video stitching via spatiotemporal coupling with temporal propagation and dynamic memory","publication_year":2026,"publication_date":"2026-04-24","ids":{"openalex":"https://openalex.org/W7155528207","doi":"https://doi.org/10.1016/j.knosys.2026.116048"},"language":"en","primary_location":{"id":"doi:10.1016/j.knosys.2026.116048","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.knosys.2026.116048","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.knosys.2026.116048","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088681939","display_name":"Xiao Yun","orcid":"https://orcid.org/0000-0002-1538-5279"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Yun","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China"],"raw_orcid":"https://orcid.org/0000-0002-1538-5279","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112606626","display_name":"Fanfei Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanfei Yu","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103050304","display_name":"Kaiwen Dong","orcid":"https://orcid.org/0000-0003-3580-2452"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiwen Dong","raw_affiliation_strings":["IoT Perception Mine Research Center, China University of Mining and Technology, Xuzhou, 221116, China"],"raw_orcid":"https://orcid.org/0000-0003-3580-2452","affiliations":[{"raw_affiliation_string":"IoT Perception Mine Research Center, China University of Mining and Technology, Xuzhou, 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5134501944","display_name":"Yanjing Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanjing Sun","raw_affiliation_strings":["School of Computer Science and Technology/School of Artificial Intelligence, China University of Mining and Technology, Xuzhou, 221116, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology/School of Artificial Intelligence, China University of Mining and Technology, Xuzhou, 221116, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5134501944"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":{"value":3130,"currency":"USD","value_usd":3130},"apc_paid":{"value":3130,"currency":"USD","value_usd":3130},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.48671818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"344","issue":null,"first_page":"116048","last_page":"116048"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.24279999732971191,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.24279999732971191,"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":0.10320000350475311,"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/T11439","display_name":"Video Analysis and Summarization","score":0.10090000182390213,"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/image-stitching","display_name":"Image stitching","score":0.6276999711990356},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.5605999827384949},{"id":"https://openalex.org/keywords/dynamic-random-access-memory","display_name":"Dynamic random-access memory","score":0.43950000405311584},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3903000056743622},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.29760000109672546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6898999810218811},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6407999992370605},{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.6276999711990356},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6086999773979187},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.5605999827384949},{"id":"https://openalex.org/C118702147","wikidata":"https://www.wikidata.org/wiki/Q189396","display_name":"Dynamic random-access memory","level":3,"score":0.43950000405311584},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3903000056743622},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.knosys.2026.116048","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.knosys.2026.116048","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.knosys.2026.116048","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.knosys.2026.116048","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1563509357","https://openalex.org/W1963246386","https://openalex.org/W2049092359","https://openalex.org/W2052452567","https://openalex.org/W2085261163","https://openalex.org/W2119605622","https://openalex.org/W2120281425","https://openalex.org/W2126060993","https://openalex.org/W2136243427","https://openalex.org/W2151103935","https://openalex.org/W2169574628","https://openalex.org/W2194775991","https://openalex.org/W2742959148","https://openalex.org/W2770525750","https://openalex.org/W2896277401","https://openalex.org/W2963610939","https://openalex.org/W2963782415","https://openalex.org/W2999765114","https://openalex.org/W3000161127","https://openalex.org/W3034438849","https://openalex.org/W3034885317","https://openalex.org/W3151130473","https://openalex.org/W3174863185","https://openalex.org/W3175249881","https://openalex.org/W3214403471","https://openalex.org/W3217502861","https://openalex.org/W4213050154","https://openalex.org/W4214714189","https://openalex.org/W4249418251","https://openalex.org/W4293558662","https://openalex.org/W4303649663","https://openalex.org/W4310817950","https://openalex.org/W4312306846","https://openalex.org/W4360770819","https://openalex.org/W4385483001","https://openalex.org/W4387846988","https://openalex.org/W4387968186","https://openalex.org/W4387968625","https://openalex.org/W4390327095","https://openalex.org/W4390872094","https://openalex.org/W4397031525","https://openalex.org/W4399701062","https://openalex.org/W4399850148","https://openalex.org/W4401686180","https://openalex.org/W4404132820","https://openalex.org/W4409261583","https://openalex.org/W4410226785","https://openalex.org/W4411350223","https://openalex.org/W4412792210","https://openalex.org/W4412861972"],"related_works":[],"abstract_inverted_index":{"Video":[0],"stitching":[1,52,149],"poses":[2],"a":[3,32,37,60,71,83,123,131,156,178,187],"fundamental":[4],"challenge:":[5],"while":[6],"video":[7,51],"frames":[8],"exhibit":[9],"strong":[10],"spatiotemporal":[11,34,62,93,102,145],"coupling,":[12],"prevailing":[13],"decoupled":[14,78],"paradigms":[15],"artificially":[16],"separate":[17],"spatial":[18],"and":[19,26,70,101,110,151,174,186],"temporal":[20,68,99,108],"information,":[21],"leading":[22],"to":[23,96,147,193],"limited":[24],"precision":[25],"severe":[27],"efficiency":[28],"bottlenecks.":[29],"Consequently,":[30],"achieving":[31,177],"joint":[33,61],"optimization":[35],"remains":[36],"critical,":[38],"unresolved":[39],"objective":[40],"in":[41,172],"this":[42],"field.":[43],"To":[44,113],"overcome":[45,114],"this,":[46],"we":[47,81,121],"propose":[48],"an":[49,182],"unsupervised":[50],"framework":[53,198],"that":[54,90,166],"fundamentally":[55],"reconceptualizes":[56],"the":[57,115,162,201],"task":[58],"as":[59],"state":[63],"estimation":[64],"problem,":[65],"driven":[66],"by":[67],"propagation":[69,100],"dynamic":[72],"memory":[73,158,202],"mechanism.":[74],"Building":[75],"upon":[76],"spatiotemporally":[77],"multi-view":[79],"inputs,":[80],"design":[82],"Spatially-Aware":[84],"Gated":[85],"Recurrent":[86,125],"Unit":[87,126],"(SA-GRU)":[88],"structure":[89,128],"mines":[91],"intrinsic":[92],"feature":[94],"correlations":[95],"establish":[97],"cross-frame":[98],"mapping,":[103],"thereby":[104],"compensating":[105],"for":[106],"missing":[107],"information":[109],"improving":[111],"alignment.":[112],"perceptual":[116],"constraints":[117,146],"of":[118,180,184,190],"sliding":[119],"windows,":[120],"introduce":[122],"Temporally-Gated":[124],"(T-GRU)":[127],"integrated":[129],"with":[130,143,155],"Spatiotemporal":[132],"Attention":[133],"Fusion":[134],"(STA-Fusion)":[135],"module,":[136],"which":[137],"adaptively":[138],"integrates":[139],"long-term":[140,153],"historical":[141],"context":[142],"current":[144],"smooth":[148],"trajectories":[150],"enable":[152],"stabilization":[154],"minimal":[157],"footprint.":[159,203],"Evaluations":[160],"on":[161],"Stabstitch-D":[163],"dataset":[164],"demonstrate":[165],"our":[167,197],"method":[168],"outperforms":[169],"existing":[170],"approaches":[171],"alignment":[173],"geometric":[175],"fidelity,":[176],"PSNR":[179],"31.18,":[181],"SSIM":[183],"0.907,":[185],"distortion":[188],"measure":[189],"0.011.":[191],"Compared":[192],"traditional":[194],"sliding-window":[195],"approaches,":[196],"drastically":[199],"reduces":[200]},"counts_by_year":[],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2026-04-25T00:00:00"}
