{"id":"https://openalex.org/W2001186022","doi":"https://doi.org/10.1145/2671188.2749315","title":"Maximally Visual-Homogeneous Region Detector for Large Scale Image Retrieval","display_name":"Maximally Visual-Homogeneous Region Detector for Large Scale Image Retrieval","publication_year":2015,"publication_date":"2015-06-22","ids":{"openalex":"https://openalex.org/W2001186022","doi":"https://doi.org/10.1145/2671188.2749315","mag":"2001186022"},"language":"en","primary_location":{"id":"doi:10.1145/2671188.2749315","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2671188.2749315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM on International Conference on Multimedia Retrieval","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/A5100367368","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0002-3359-3565"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gang Wang","raw_affiliation_strings":["Institute of Computing Technology, CAS, Beijing, China","Institute of Computing Technology, CAS, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020095072","display_name":"Ke Gao","orcid":"https://orcid.org/0000-0002-3612-9805"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Gao","raw_affiliation_strings":["Institute of Computing Technology, CAS, Beijing, China","Institute of Computing Technology, CAS, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105096532","display_name":"Jintao Li","orcid":"https://orcid.org/0009-0009-6802-2699"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jintao Li","raw_affiliation_strings":["Institute of Computing Technology, CAS, Beijing, China","Institute of Computing Technology, CAS, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100367368"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06408496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"495","last_page":"498"},"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":1.0,"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":1.0,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9979000091552734,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9937999844551086,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/homogeneity","display_name":"Homogeneity (statistics)","score":0.8465754985809326},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6955410242080688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6617493629455566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6034563183784485},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5661419630050659},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5143595933914185},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4982118606567383},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.48415523767471313},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.41297999024391174},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3214521110057831},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2583351135253906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09306177496910095}],"concepts":[{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.8465754985809326},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6955410242080688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6617493629455566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6034563183784485},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5661419630050659},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5143595933914185},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4982118606567383},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.48415523767471313},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.41297999024391174},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3214521110057831},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2583351135253906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09306177496910095},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2671188.2749315","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2671188.2749315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM on International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1607518091","https://openalex.org/W1676552347","https://openalex.org/W1964858027","https://openalex.org/W1980911747","https://openalex.org/W2005107673","https://openalex.org/W2035308043","https://openalex.org/W2098789800","https://openalex.org/W2104019579","https://openalex.org/W2124404372","https://openalex.org/W2128017662","https://openalex.org/W2136705357"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W4253615296","https://openalex.org/W2083654828","https://openalex.org/W4289550795","https://openalex.org/W1979972655","https://openalex.org/W2025365313","https://openalex.org/W3163028448","https://openalex.org/W2576526015"],"abstract_inverted_index":{"Conventional":[0],"local":[1,25,73],"detectors":[2,135],"often":[3],"extract":[4],"numerous":[5],"small":[6],"repeated":[7],"regions":[8,122],"in":[9,15],"textured":[10],"areas,":[11],"which":[12,52],"easily":[13],"results":[14],"false":[16],"matching.":[17],"In":[18],"order":[19],"to":[20,95,101,132],"find":[21,118],"representative":[22,121],"and":[23],"distinctive":[24],"invariant":[26],"regions,":[27],"this":[28],"paper":[29],"proposes":[30],"a":[31,62,72,81,88,97,109],"Maximally":[32],"Visual-Homogeneous":[33],"Region":[34],"(MVHR)":[35],"detector.":[36],"The":[37],"main":[38],"contributions":[39],"can":[40,117],"be":[41],"summarized":[42],"as":[43,57],"2":[44],"parts:":[45],"(1)":[46],"Being":[47],"different":[48],"from":[49],"original":[50],"MSER":[51],"employs":[53],"single":[54],"pixel":[55],"intensity":[56],"ranking":[58],"unit,":[59],"we":[60],"propose":[61],"novel":[63],"sorting":[64],"method":[65],"based":[66],"on":[67,71],"visual":[68,85,105],"homogeneity":[69,86,106],"analysis":[70],"patch.":[74],"(2)":[75],"Identifying":[76],"the":[77,102,133],"observation":[78],"scale":[79,90,99,138],"has":[80],"close":[82],"relationship":[83],"with":[84,123],"analysis,":[87],"heuristic":[89],"selection":[91],"algorithm":[92],"is":[93],"developed":[94],"choose":[96],"proper":[98],"according":[100],"changes":[103],"of":[104,111],"evaluation":[107],"over":[108],"range":[110],"scales.":[112],"Experiments":[113],"demonstrate":[114],"our":[115],"detector":[116],"less":[119],"but":[120],"high":[124],"repeatability,":[125],"while":[126],"still":[127],"perserving":[128],"competitive":[129],"precision":[130],"compared":[131],"state-of-art":[134],"for":[136],"large":[137],"image":[139],"retrieval.":[140]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}