{"id":"https://openalex.org/W2016380647","doi":"https://doi.org/10.1109/lsp.2014.2377795","title":"Near-Duplicate Image Retrieval Based on Contextual Descriptor","display_name":"Near-Duplicate Image Retrieval Based on Contextual Descriptor","publication_year":2014,"publication_date":"2014-12-04","ids":{"openalex":"https://openalex.org/W2016380647","doi":"https://doi.org/10.1109/lsp.2014.2377795","mag":"2016380647"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2014.2377795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2014.2377795","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5058945998","display_name":"Jinliang Yao","orcid":"https://orcid.org/0000-0003-4689-3302"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinliang Yao","raw_affiliation_strings":["Computer Science School, Hangzhou Dianzi University, Hangzhou, China","[Computer Science School, Hangzhou Dianzi University, Hangzhou, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science School, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"[Computer Science School, Hangzhou Dianzi University, Hangzhou, China]","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005592510","display_name":"Bing Yang","orcid":"https://orcid.org/0000-0002-0585-0579"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Yang","raw_affiliation_strings":["Computer Science School, Hangzhou Dianzi University, Hangzhou, China","[Computer Science School, Hangzhou Dianzi University, Hangzhou, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science School, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"[Computer Science School, Hangzhou Dianzi University, Hangzhou, China]","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044254634","display_name":"Qiuming Zhu","orcid":"https://orcid.org/0000-0002-5059-4308"},"institutions":[{"id":"https://openalex.org/I122266389","display_name":"University of Nebraska at Omaha","ror":"https://ror.org/04yrkc140","country_code":"US","type":"education","lineage":["https://openalex.org/I122266389"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiuming Zhu","raw_affiliation_strings":["Computer Science department, University of Nebraska, Omaha, NE, USA","Comput. Sci. Dept., Univ. of Nebraska, Omaha, NE, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science department, University of Nebraska, Omaha, NE, USA","institution_ids":["https://openalex.org/I122266389"]},{"raw_affiliation_string":"Comput. Sci. Dept., Univ. of Nebraska, Omaha, NE, USA","institution_ids":["https://openalex.org/I122266389"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9113,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92825797,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"22","issue":"9","first_page":"1404","last_page":"1408"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9966999888420105,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9944999814033508,"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/discriminative-model","display_name":"Discriminative model","score":0.7967106103897095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7602794170379639},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7559810876846313},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.6837354898452759},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5864359140396118},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5413778424263},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.537757158279419},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5245233774185181},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.49530330300331116},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.48265963792800903},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.46527621150016785},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4571393132209778},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4569372236728668},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4113466143608093},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3153965473175049},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1456562876701355}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7967106103897095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7602794170379639},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7559810876846313},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.6837354898452759},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5864359140396118},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5413778424263},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.537757158279419},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5245233774185181},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.49530330300331116},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.48265963792800903},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.46527621150016785},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4571393132209778},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4569372236728668},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4113466143608093},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3153965473175049},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1456562876701355},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2014.2377795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2014.2377795","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1648284368","display_name":null,"funder_award_id":"61202280","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1556531089","https://openalex.org/W1965350239","https://openalex.org/W2018057603","https://openalex.org/W2027252237","https://openalex.org/W2118355530","https://openalex.org/W2124509324","https://openalex.org/W2141362318","https://openalex.org/W2154952031","https://openalex.org/W2170942078","https://openalex.org/W4247915583","https://openalex.org/W6682717316"],"related_works":["https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W2947282851","https://openalex.org/W2184288218","https://openalex.org/W2071180033","https://openalex.org/W2374066281","https://openalex.org/W4387423606","https://openalex.org/W155590726","https://openalex.org/W2147874738","https://openalex.org/W2528082075"],"abstract_inverted_index":{"The":[0,92],"state":[1],"of":[2,5,28,31,44,62,77,89,99],"the":[3,15,32,35,42,59,74,83,87,97,106],"art":[4],"technology":[6],"for":[7,124],"near-duplicate":[8,125],"image":[9,126],"retrieval":[10],"is":[11],"mostly":[12],"based":[13],"on":[14,115],"Bag-of-Visual-Words":[16],"model.":[17],"However,":[18],"visual":[19,45,63,78,108],"words":[20,36,46,79,109],"are":[21,50],"easy":[22],"to":[23,40,52,80],"result":[24],"in":[25],"mismatches":[26,84],"because":[27],"quantization":[29],"errors":[30],"local":[33],"features":[34],"represent.":[37],"In":[38],"order":[39],"improve":[41],"precision":[43],"matching,":[47],"contextual":[48,60,70,75,94],"descriptors":[49],"designed":[51],"strengthen":[53],"their":[54,111],"discriminative":[55],"power":[56],"and":[57,85,102,110,122],"measure":[58],"similarity":[61,76],"words.":[64],"This":[65],"paper":[66],"presents":[67],"a":[68],"new":[69,93],"descriptor":[71,95],"that":[72],"measures":[73],"immediately":[81],"discard":[82],"reduce":[86],"count":[88],"candidate":[90],"images.":[91],"encodes":[96],"relationships":[98],"dominant":[100],"orientation":[101],"spatial":[103],"position":[104],"between":[105],"referential":[107],"context.":[112],"Experimental":[113],"results":[114],"benchmark":[116],"Copydays":[117],"dataset":[118],"demonstrate":[119],"its":[120],"efficiency":[121],"effectiveness":[123],"retrieval.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}