{"id":"https://openalex.org/W2472052212","doi":"https://doi.org/10.1109/tcsvt.2015.2437091","title":"Pattern Matching Using Partial Fourier Spectrum","display_name":"Pattern Matching Using Partial Fourier Spectrum","publication_year":2015,"publication_date":"2015-05-22","ids":{"openalex":"https://openalex.org/W2472052212","doi":"https://doi.org/10.1109/tcsvt.2015.2437091","mag":"2472052212"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2015.2437091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2015.2437091","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","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/A5046059871","display_name":"Saeid Shahhosseini","orcid":null},"institutions":[{"id":"https://openalex.org/I189060766","display_name":"St. Mary's University, Texas","ror":"https://ror.org/03fvnza37","country_code":"US","type":"education","lineage":["https://openalex.org/I189060766"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Saeid Shahhosseini","raw_affiliation_strings":["Department of Electrical Engineering, St. Mary\u2019s University of San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, St. Mary\u2019s University of San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I189060766"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043626565","display_name":"Bahman Rezaie","orcid":null},"institutions":[{"id":"https://openalex.org/I189060766","display_name":"St. Mary's University, Texas","ror":"https://ror.org/03fvnza37","country_code":"US","type":"education","lineage":["https://openalex.org/I189060766"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bahman Rezaie","raw_affiliation_strings":["Department of Electrical Engineering, St. Mary\u2019s University of San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, St. Mary\u2019s University of San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I189060766"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046059871"],"corresponding_institution_ids":["https://openalex.org/I189060766"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.22602258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"26","issue":"7","first_page":"1229","last_page":"1240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9937000274658203,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9937000274658203,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9932000041007996,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9886999726295471,"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/fourier-transform","display_name":"Fourier transform","score":0.5019288063049316},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48439961671829224},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.482311487197876},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.44664958119392395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33426976203918457},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33388110995292664},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3282434046268463},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.20953315496444702},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.12623175978660583}],"concepts":[{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5019288063049316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48439961671829224},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.482311487197876},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.44664958119392395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33426976203918457},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33388110995292664},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3282434046268463},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.20953315496444702},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.12623175978660583},{"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:10.1109/tcsvt.2015.2437091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2015.2437091","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322170","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86"},{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"},{"id":"https://openalex.org/F4320323553","display_name":"Universit\u00e0 di Bologna","ror":"https://ror.org/01111rn36"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W51240228","https://openalex.org/W1546211452","https://openalex.org/W2011807137","https://openalex.org/W2042000231","https://openalex.org/W2043215947","https://openalex.org/W2054484909","https://openalex.org/W2056370875","https://openalex.org/W2069797735","https://openalex.org/W2071866686","https://openalex.org/W2090690379","https://openalex.org/W2106237508","https://openalex.org/W2114129404","https://openalex.org/W2116761848","https://openalex.org/W2125031108","https://openalex.org/W2125186487","https://openalex.org/W2126391637","https://openalex.org/W2136162648","https://openalex.org/W2137796516","https://openalex.org/W2148035750","https://openalex.org/W2148044735","https://openalex.org/W2150137371","https://openalex.org/W2163384417","https://openalex.org/W2168434186","https://openalex.org/W3081727571","https://openalex.org/W3097096317","https://openalex.org/W6668729533","https://openalex.org/W6677574828"],"related_works":["https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W1984031140","https://openalex.org/W2034082304","https://openalex.org/W81470468","https://openalex.org/W1964268922","https://openalex.org/W1968864649","https://openalex.org/W2066908446","https://openalex.org/W3045775115","https://openalex.org/W2768366820"],"abstract_inverted_index":{"Pattern":[0],"matching":[1],"is":[2,49,71,118,135,159],"a":[3,38,56,95,125],"fundamental":[4],"technique":[5],"in":[6,17,81,85,94,190],"image":[7],"processing.":[8],"The":[9,29,43,168],"majority":[10],"of":[11,35,46,75,78,83,90,103,106,139,142,156,197],"improvements":[12],"that":[13,73,121,179],"have":[14],"been":[15],"proposed":[16,181],"the":[18,76,79,88,101,104,110,114,131,137,140,143,154,157,180,184,191],"literature":[19,192],"are":[20,151],"geared":[21],"toward":[22],"small-":[23],"to":[24,50],"mid-size":[25],"templates":[26],"and":[27,33,153,165],"images.":[28],"rapidly":[30],"increasing":[31],"resolution":[32],"size":[34,141],"images":[36],"demand":[37],"more":[39],"efficient":[40,186],"template-matching":[41,58],"algorithm.":[42],"main":[44],"focus":[45],"this":[47,52,122],"paper":[48],"address":[51],"problem":[53],"by":[54,108,193],"proposing":[55],"novel":[57],"algorithm":[59],"using":[60,172],"partial":[61],"Fourier":[62],"spectrum":[63],"(PFS)":[64],"components":[65,92],"as":[66],"its":[67],"feature":[68],"set.":[69],"It":[70,117],"shown":[72,120],"regardless":[74],"content":[77],"template":[80],"terms":[82],"correlation":[84],"spatial":[86],"domain,":[87],"use":[89],"PFS":[91],"results":[93],"smooth":[96],"error":[97,111],"surface,":[98],"which":[99,134],"facilitates":[100],"evaluation":[102],"region":[105],"interest":[107],"predicting":[109],"change":[112],"within":[113],"foreseeable":[115],"distance.":[116],"also":[119],"approach":[123],"generates":[124],"broad":[126],"global":[127],"minimum":[128],"area":[129],"around":[130],"best":[132],"match,":[133],"on":[136,146],"order":[138,196],"template.":[144],"Based":[145],"these":[147],"characteristics,":[148],"three":[149],"algorithms":[150,158,182,187],"developed":[152],"performance":[155],"analyzed":[160],"through":[161],"extensive":[162],"mathematical":[163],"analysis":[164],"experimental":[166,169],"simulations.":[167],"results,":[170],"generated":[171],"over":[173,194],"13":[174],"000":[175],"image/template":[176],"pairs,":[177],"indicate":[178],"outperform":[183],"most":[185],"currently":[188],"available":[189],"an":[195],"magnitude.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}