{"id":"https://openalex.org/W2781708563","doi":"https://doi.org/10.1109/icspcc.2017.8242494","title":"Local-global mixed patch matching framework","display_name":"Local-global mixed patch matching framework","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2781708563","doi":"https://doi.org/10.1109/icspcc.2017.8242494","mag":"2781708563"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc.2017.8242494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc.2017.8242494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-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/A5057798567","display_name":"Mali Yu","orcid":"https://orcid.org/0000-0001-9911-3950"},"institutions":[{"id":"https://openalex.org/I134626604","display_name":"Jiujiang University","ror":"https://ror.org/0066vpg85","country_code":"CN","type":"education","lineage":["https://openalex.org/I134626604"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mali Yu","raw_affiliation_strings":["School of Information Science & Technology, Jiujiang University, Jiujiang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science & Technology, Jiujiang University, Jiujiang, China","institution_ids":["https://openalex.org/I134626604"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101790405","display_name":"Zhang Hai","orcid":"https://orcid.org/0009-0005-1905-4222"},"institutions":[{"id":"https://openalex.org/I134626604","display_name":"Jiujiang University","ror":"https://ror.org/0066vpg85","country_code":"CN","type":"education","lineage":["https://openalex.org/I134626604"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Zhang","raw_affiliation_strings":["School of Information Science & Technology, Jiujiang University, Jiujiang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science & Technology, Jiujiang University, Jiujiang, China","institution_ids":["https://openalex.org/I134626604"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053792340","display_name":"Caixue Zhou","orcid":"https://orcid.org/0000-0002-7924-2584"},"institutions":[{"id":"https://openalex.org/I134626604","display_name":"Jiujiang University","ror":"https://ror.org/0066vpg85","country_code":"CN","type":"education","lineage":["https://openalex.org/I134626604"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caixue Zhou","raw_affiliation_strings":["School of Information Science & Technology, Jiujiang University, Jiujiang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science & Technology, Jiujiang University, Jiujiang, China","institution_ids":["https://openalex.org/I134626604"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057798567"],"corresponding_institution_ids":["https://openalex.org/I134626604"],"apc_list":null,"apc_paid":null,"fwci":0.091,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49761016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":null,"first_page":"1","last_page":"5"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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":0.9986000061035156,"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/matching","display_name":"Matching (statistics)","score":0.8089178800582886},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5835952758789062},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5669893026351929},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5669794678688049},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5149177312850952},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.4780602753162384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47705498337745667},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4310155510902405},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.41046732664108276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38838422298431396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3256131112575531},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21777665615081787}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.8089178800582886},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5835952758789062},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5669893026351929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5669794678688049},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5149177312850952},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.4780602753162384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47705498337745667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4310155510902405},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.41046732664108276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38838422298431396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3256131112575531},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21777665615081787},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc.2017.8242494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc.2017.8242494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W134193804","https://openalex.org/W1496508106","https://openalex.org/W1763426478","https://openalex.org/W1968765829","https://openalex.org/W1993120651","https://openalex.org/W1995813543","https://openalex.org/W2010316810","https://openalex.org/W2024668293","https://openalex.org/W2040277449","https://openalex.org/W2090398718","https://openalex.org/W2097073572","https://openalex.org/W2097921974","https://openalex.org/W2128017662","https://openalex.org/W2129139050","https://openalex.org/W2145940484","https://openalex.org/W2147253850","https://openalex.org/W2163168659","https://openalex.org/W2165428671","https://openalex.org/W2165558283","https://openalex.org/W6637776403","https://openalex.org/W6674878074"],"related_works":["https://openalex.org/W2384918310","https://openalex.org/W2383808867","https://openalex.org/W2107893065","https://openalex.org/W2372581239","https://openalex.org/W2544012655","https://openalex.org/W2617958085","https://openalex.org/W2383010795","https://openalex.org/W1509862229","https://openalex.org/W1519745258","https://openalex.org/W2050706403"],"abstract_inverted_index":{"Patch":[0],"matching":[1,11,17,33,57,94,127,142,192],"is":[2,25,59,113,120],"the":[3,22,29,31,35,41,45,50,71,79,88,99,103,106,110,116,130,139,148,152,159,177,186,191],"key":[4],"step":[5],"in":[6,109,199],"patch-based":[7],"methods,":[8,143],"including":[9],"local":[10,32],"and":[12,48,175,180,195],"global":[13,16,141],"matching.":[14],"The":[15],"achieves":[18],"high":[19],"accuracy,":[20,51],"but":[21,38,78],"running":[23,36,46],"time":[24,47],"relatively":[26],"long;":[27],"on":[28],"contrary,":[30],"reduces":[34],"time,":[37],"also":[39],"decreases":[40],"accuracy.":[42],"To":[43],"reduce":[44],"preserve":[49],"a":[52],"new":[53],"local-global":[54],"mixed":[55],"patch":[56,93,126,157,205],"framework":[58],"proposed.":[60],"Within":[61],"this":[62],"framework,":[63,179,188],"we":[64,189],"first":[65],"introduce":[66],"an":[67],"image":[68,104,111],"pseudo-pyramid,":[69],"where":[70],"down-sampled":[72],"images":[73],"are":[74,85,96,162],"not":[75],"really":[76],"generated,":[77],"pixel":[80],"coordinates":[81],"at":[82,98,105,129,147,158,167],"all":[83],"levels":[84,161],"mapped":[86],"to":[87,122,144],"original":[89,117],"image.":[90],"Then,":[91,151],"different":[92,100],"methods":[95,128],"used":[97],"levels.":[101],"Because":[102],"highest":[107,131,149],"level":[108],"pseudopyramid":[112],"smaller":[114],"than":[115],"image,":[118],"it":[119],"appropriate":[121],"use":[123,134],"any":[124],"traditional":[125],"level.":[132,150,170],"We":[133,171],"PatchMatch":[135],"(PM),":[136],"one":[137],"of":[138,155,201,204],"state-of-the-art":[140],"match":[145],"patches":[146],"candidate":[153],"match-lists":[154],"each":[156],"other":[160],"propagated":[163],"from":[164],"good":[165],"matches":[166],"its":[168],"higher":[169],"compare":[172],"PM":[173],"with":[174],"without":[176],"proposed":[178,187],"experimental":[181],"results":[182,198],"demonstrate":[183],"that":[184],"using":[185],"improve":[190],"efficiency":[193],"greatly,":[194],"produce":[196],"comparable":[197],"terms":[200],"Root-Mean-Square":[202],"(RMS)":[203],"distance.":[206]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
