{"id":"https://openalex.org/W4233765892","doi":"https://doi.org/10.1109/icpr.2004.1334663","title":"Seamless video editing","display_name":"Seamless video editing","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4233765892","doi":"https://doi.org/10.1109/icpr.2004.1334663"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334663","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5051931459","display_name":"Hongcheng Wang","orcid":"https://orcid.org/0000-0001-6842-4326"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongcheng Wang","raw_affiliation_strings":["Beckman Inst., Illinois Univ., USA","Beckman Institute, University of Illinois, Urbana-Champaign, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beckman Inst., Illinois Univ., USA","institution_ids":[]},{"raw_affiliation_string":"Beckman Institute, University of Illinois, Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040114791","display_name":"R. Raskar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Raskar","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Inc., USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Inc., USA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061750252","display_name":"N. Ahuja","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"N. Ahuja","raw_affiliation_strings":["Beckman Institute, University of Illinois, Urbana-Champaign, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beckman Institute, University of Illinois, Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2151,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.49352751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"858","last_page":"861 Vol.3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9994999766349792,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7366868853569031},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.6257856488227844},{"id":"https://openalex.org/keywords/poissons-equation","display_name":"Poisson's equation","score":0.6110087037086487},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5809135437011719},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5185887813568115},{"id":"https://openalex.org/keywords/vector-field","display_name":"Vector field","score":0.5005793571472168},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.43091800808906555},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.42987245321273804},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4271393120288849},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3741060495376587},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35994619131088257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32176297903060913},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18883371353149414},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10671877861022949},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08351308107376099}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7366868853569031},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.6257856488227844},{"id":"https://openalex.org/C96716743","wikidata":"https://www.wikidata.org/wiki/Q827688","display_name":"Poisson's equation","level":2,"score":0.6110087037086487},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5809135437011719},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5185887813568115},{"id":"https://openalex.org/C91188154","wikidata":"https://www.wikidata.org/wiki/Q186247","display_name":"Vector field","level":2,"score":0.5005793571472168},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.43091800808906555},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.42987245321273804},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4271393120288849},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3741060495376587},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35994619131088257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32176297903060913},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18883371353149414},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10671877861022949},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08351308107376099},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2004.1334663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334663","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320315072","display_name":"Mitsubishi Electric Research Laboratories","ror":null},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1602141105","https://openalex.org/W1704999350","https://openalex.org/W1989916062","https://openalex.org/W1996257190","https://openalex.org/W2006586145","https://openalex.org/W2153709524","https://openalex.org/W2164847484","https://openalex.org/W2165043299","https://openalex.org/W2244837655","https://openalex.org/W2295936755","https://openalex.org/W2997077506","https://openalex.org/W2997095758","https://openalex.org/W6636146345","https://openalex.org/W6637430524"],"related_works":["https://openalex.org/W2135584473","https://openalex.org/W2186864281","https://openalex.org/W4255427455","https://openalex.org/W2964223869","https://openalex.org/W2792539140","https://openalex.org/W2005808740","https://openalex.org/W1966025497","https://openalex.org/W2295130398","https://openalex.org/W68941528","https://openalex.org/W4248002887"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,27,38,45,70,76,111],"new":[4,28],"framework":[5],"for":[6,94],"seamless":[7],"video":[8,40,65,99],"editing":[9],"in":[10,58],"the":[11,54,59],"gradient":[12,16,29,49,56,90],"domain.":[13],"The":[14,64,97],"spatio-temporal":[15],"fields":[17],"of":[18,61,89,113],"target":[19],"videos":[20],"are":[21],"modified":[22],"or":[23],"mixed":[24],"to":[25,53],"generate":[26],"field,":[30],"which":[31,43],"is":[32,51,66,92],"usually":[33],"not":[34],"integrable.":[35],"We":[36,74,106],"propose":[37],"3D":[39,71,80],"integration":[41],"algorithm,":[42],"finds":[44],"potential":[46],"function,":[47],"whose":[48],"field":[50,57],"closest":[52],"resulting":[55,98],"sense":[60],"least":[62],"squares.":[63],"reconstructed":[67],"by":[68],"solving":[69],"Poisson":[72,82],"equation.":[73],"use":[75],"fast":[77],"and":[78,103],"accurate":[79],"discrete":[81],"solver":[83],"using":[84,110],"diagonal":[85],"multigrids.":[86],"A":[87],"set":[88],"operators":[91],"defined":[93],"user":[95],"interaction.":[96],"has":[100],"temporal":[101],"coherency":[102],"no":[104],"artifacts.":[105],"evaluate":[107],"our":[108],"algorithm":[109],"variety":[112],"examples.":[114]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
