{"id":"https://openalex.org/W2920491596","doi":"https://doi.org/10.3233/978-1-61499-929-4-290","title":"Optical Flow Group-Parameter Reconstruction from Multi-Channel Image Sequences","display_name":"Optical Flow Group-Parameter Reconstruction from Multi-Channel Image Sequences","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2920491596","doi":"https://doi.org/10.3233/978-1-61499-929-4-290","mag":"2920491596"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-929-4-290","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-929-4-290","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5116360333","display_name":"Kalitzin Stiliyan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kalitzin Stiliyan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116396040","display_name":"Geertsema Evelien","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Geertsema Evelien","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5059805289","display_name":"George Petkov","orcid":"https://orcid.org/0000-0003-0205-585X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Petkov George","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5116360333"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7916,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79603087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.8967999815940857,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.8967999815940857,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.775600016117096,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.732200026512146,"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/group","display_name":"Group (periodic table)","score":0.6229273676872253},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5485268235206604},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5259925127029419},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4827377200126648},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4645303189754486},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.45977577567100525},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2971007823944092},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26548266410827637},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.23754674196243286},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.14524224400520325},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13432416319847107}],"concepts":[{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.6229273676872253},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5485268235206604},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5259925127029419},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4827377200126648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4645303189754486},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.45977577567100525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2971007823944092},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26548266410827637},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.23754674196243286},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14524224400520325},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13432416319847107},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-929-4-290","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-929-4-290","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2023355163","https://openalex.org/W4386083130","https://openalex.org/W3111737715","https://openalex.org/W2069571255","https://openalex.org/W2117442182","https://openalex.org/W2081707527","https://openalex.org/W1975907365","https://openalex.org/W3125517176","https://openalex.org/W4367623556","https://openalex.org/W4385998088"],"abstract_inverted_index":{"We":[0,147],"propose":[1],"a":[2,98],"novel":[3],"algorithm":[4,104],"for":[5],"reconstruction":[6,128],"of":[7,15,28,38,59,75,91,101,127,134,140,152,159,162],"optical":[8,123,177],"flow":[9,47,178],"group":[10,41,86],"transformation":[11,40,87],"parameters":[12,133],"from":[13],"sequences":[14],"multi-channel":[16],"images.":[17],"Our":[18],"method":[19,67,154],"is":[20,63,95,105,145],"based":[21],"on":[22,130],"&amp;ldquo;early":[23],"integration&amp;rdquo;":[24],"paradigm":[25],"using":[26,175],"all":[27],"the":[29,34,39,45,49,54,57,60,69,78,85,92,121,132,135,138,141,150,153,156,168,171],"available":[30],"spectral":[31],"components":[32],"and":[33,56,72,82,137,166],"vector":[35,80,114,142],"field":[36,81],"representation":[37],"generators.":[42],"This":[43],"way":[44],"reconstructed":[46,122],"carries":[48],"total":[50],"information":[51],"contained":[52],"in":[53],"images":[55,110,136],"singularity":[58,90],"inverse":[61],"problem":[62],"potentially":[64],"reduced.":[65],"The":[66,103,125],"avoids":[68],"more":[70],"complex":[71],"ambiguous":[73],"task":[74,158],"first":[76],"reconstructing":[77],"local":[79],"subsequently":[83],"fitting":[84],"templates.":[88],"Remaining":[89],"structural":[93],"tensor":[94],"removed":[96],"by":[97],"modified":[99],"Tikhonov-type":[100],"regularization.":[102],"quantitatively":[106],"validated":[107],"with":[108,112,120],"recorded":[109],"transformed":[111],"generated":[113],"fields":[115,144],"that":[116],"are":[117],"then":[118],"compared":[119],"flow.":[124],"dependence":[126],"accuracy":[129],"both":[131],"magnitudes":[139],"deformation":[143],"presented.":[146],"also":[148],"show":[149],"application":[151],"to":[155,170],"real-world":[157],"video-based":[160],"detection":[161],"convulsive":[163],"epileptic":[164],"seizures":[165],"compare":[167],"output":[169],"previously":[172],"published":[173],"results":[174],"standard":[176],"algorithm.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
