{"id":"https://openalex.org/W2092040250","doi":"https://doi.org/10.1109/icip.2014.7025192","title":"Classification of 2D and 3D images using pyramid scale decision voting","display_name":"Classification of 2D and 3D images using pyramid scale decision voting","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2092040250","doi":"https://doi.org/10.1109/icip.2014.7025192","mag":"2092040250"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5048614725","display_name":"Tsampikos Kounalakis","orcid":"https://orcid.org/0000-0003-3747-3146"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tsampikos Kounalakis","raw_affiliation_strings":["Brunel University, United Kingdom","Brunel University United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brunel University, United Kingdom","institution_ids":["https://openalex.org/I59433898"]},{"raw_affiliation_string":"Brunel University United Kingdom","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049494866","display_name":"Nikolaos V. Boulgouris","orcid":"https://orcid.org/0000-0002-5382-6856"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nikolaos V. Boulgouris","raw_affiliation_strings":["Brunel University, United Kingdom","Brunel University United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brunel University, United Kingdom","institution_ids":["https://openalex.org/I59433898"]},{"raw_affiliation_string":"Brunel University United Kingdom","institution_ids":["https://openalex.org/I59433898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59433898"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"957","last_page":"960"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994000196456909,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9968000054359436,"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/pyramid","display_name":"Pyramid (geometry)","score":0.8596171736717224},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.7893166542053223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7080612182617188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.655337929725647},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6452475786209106},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6398173570632935},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.6050934791564941},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5733628273010254},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5731610059738159},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5127905011177063},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5054025650024414},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.4861125946044922},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38322263956069946},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2246553897857666},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06843459606170654}],"concepts":[{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.8596171736717224},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.7893166542053223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7080612182617188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.655337929725647},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6452475786209106},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6398173570632935},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.6050934791564941},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5733628273010254},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5731610059738159},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5127905011177063},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5054025650024414},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.4861125946044922},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38322263956069946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2246553897857666},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06843459606170654},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2014123669","https://openalex.org/W2027922120","https://openalex.org/W2050834445","https://openalex.org/W2074142320","https://openalex.org/W2097018403","https://openalex.org/W2103444992","https://openalex.org/W2107034620","https://openalex.org/W2119821739","https://openalex.org/W2142422094","https://openalex.org/W2151103935","https://openalex.org/W2155904486","https://openalex.org/W2156222070","https://openalex.org/W2162915993","https://openalex.org/W4232730838","https://openalex.org/W4239510810","https://openalex.org/W6674642818","https://openalex.org/W6675541922"],"related_works":["https://openalex.org/W2373577936","https://openalex.org/W4387678054","https://openalex.org/W3095575180","https://openalex.org/W3121841074","https://openalex.org/W2055572829","https://openalex.org/W3036613766","https://openalex.org/W1894159578","https://openalex.org/W2807400035","https://openalex.org/W4297796115","https://openalex.org/W3125086856"],"abstract_inverted_index":{"We":[0,38],"introduce":[1],"a":[2,15,27,44],"novel":[3],"classification":[4,42],"method":[5],"for":[6,53,83],"pyramid":[7,22,31],"image":[8,23,85],"representations":[9],"that":[10],"is":[11,19,25],"particularly":[12],"efficient":[13],"when":[14],"small":[16],"training":[17,40,76],"set":[18],"available.":[20],"A":[21],"representation":[24,55],"usually":[26],"unique":[28],"concatenation":[29],"of":[30,34,56],"scale":[32,45,47],"vectors":[33,52],"different":[35],"discriminatory":[36],"power.":[37],"propose":[39],"and":[41],"on":[43],"by":[46],"basis,":[48],"i.e.,":[49],"using":[50],"multiple":[51],"the":[54,69],"an":[57],"image.":[58],"The":[59],"proposed":[60],"approach":[61,71],"achieves":[62,80],"approximately":[63],"equal":[64],"performance":[65],"in":[66],"comparison":[67],"to":[68],"conventional":[70],"but":[72],"requires":[73],"much":[74],"smaller":[75],"sets.":[77],"It":[78],"also":[79],"excellent":[81],"results":[82],"three-dimensional":[84],"classification.":[86]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}