{"id":"https://openalex.org/W2012056293","doi":"https://doi.org/10.1155/asp/2006/63124","title":"Synobins: An Intermediate Level towards Annotation and Semantic Retrieval","display_name":"Synobins: An Intermediate Level towards Annotation and Semantic Retrieval","publication_year":2006,"publication_date":"2006-01-16","ids":{"openalex":"https://openalex.org/W2012056293","doi":"https://doi.org/10.1155/asp/2006/63124","mag":"2012056293"},"language":"en","primary_location":{"id":"doi:10.1155/asp/2006/63124","is_oa":true,"landing_page_url":"https://doi.org/10.1155/asp/2006/63124","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/ASP/2006/63124","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/ASP/2006/63124","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005267835","display_name":"Daniela Raicu","orcid":"https://orcid.org/0000-0002-2165-7234"},"institutions":[{"id":"https://openalex.org/I118353179","display_name":"DePaul University","ror":"https://ror.org/04xtx5t16","country_code":"US","type":"education","lineage":["https://openalex.org/I118353179"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniela Stan Raicu","raw_affiliation_strings":["Intelligent Multimedia Processing Laboratory, School of Computer Science, Telecommunications, and Information Systems, DePaul University, Chicago, IL, 60604, USA","Intelligent Multimedia Processing Laboratory, School of Computer Science, Telecommunications, and Information Systems, DePaul University, Chicago, IL"],"affiliations":[{"raw_affiliation_string":"Intelligent Multimedia Processing Laboratory, School of Computer Science, Telecommunications, and Information Systems, DePaul University, Chicago, IL, 60604, USA","institution_ids":["https://openalex.org/I118353179"]},{"raw_affiliation_string":"Intelligent Multimedia Processing Laboratory, School of Computer Science, Telecommunications, and Information Systems, DePaul University, Chicago, IL","institution_ids":["https://openalex.org/I118353179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085622001","display_name":"Ishwar K. Sethi","orcid":"https://orcid.org/0000-0002-2578-111X"},"institutions":[{"id":"https://openalex.org/I177721651","display_name":"Oakland University","ror":"https://ror.org/01ythxj32","country_code":"US","type":"education","lineage":["https://openalex.org/I177721651"]},{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ishwar K. Sethi","raw_affiliation_strings":["IIE Laboratory, Department of Computer Science & Engineering, Oakland University, Rochester, MI, 48309-4478, USA","IIE Laboratory, Department of Computer Science & Engineering, Oakland University, Rochester, MI"],"affiliations":[{"raw_affiliation_string":"IIE Laboratory, Department of Computer Science & Engineering, Oakland University, Rochester, MI, 48309-4478, USA","institution_ids":["https://openalex.org/I177721651"]},{"raw_affiliation_string":"IIE Laboratory, Department of Computer Science & Engineering, Oakland University, Rochester, MI","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005267835"],"corresponding_institution_ids":["https://openalex.org/I118353179"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10143525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2006","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification 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/T10824","display_name":"Image Retrieval and Classification 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/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/T11439","display_name":"Video Analysis and Summarization","score":0.9901000261306763,"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/computer-science","display_name":"Computer science","score":0.7382972240447998},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7154374122619629},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5831896662712097},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.5632930397987366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5490583777427673},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.5054628849029541},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4863946735858917},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46912670135498047},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.466185063123703},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.46406182646751404},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.43752214312553406},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.4297829568386078},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.42481276392936707},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30866438150405884}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7382972240447998},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7154374122619629},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5831896662712097},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.5632930397987366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5490583777427673},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.5054628849029541},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4863946735858917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46912670135498047},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.466185063123703},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.46406182646751404},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.43752214312553406},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.4297829568386078},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.42481276392936707},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30866438150405884},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/asp/2006/63124","is_oa":true,"landing_page_url":"https://doi.org/10.1155/asp/2006/63124","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/ASP/2006/63124","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4cf2aa6c36564d3a8ea2e111e55fe1ee","is_oa":true,"landing_page_url":"https://doaj.org/article/4cf2aa6c36564d3a8ea2e111e55fe1ee","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2006, Iss 1, p 063124 (2006)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/asp/2006/63124","is_oa":true,"landing_page_url":"https://doi.org/10.1155/asp/2006/63124","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/ASP/2006/63124","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2012056293.pdf","grobid_xml":"https://content.openalex.org/works/W2012056293.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W626607856","https://openalex.org/W1525141767","https://openalex.org/W1557578239","https://openalex.org/W1576347883","https://openalex.org/W1629211845","https://openalex.org/W1660390307","https://openalex.org/W1947400014","https://openalex.org/W1963894456","https://openalex.org/W1967904143","https://openalex.org/W1978447605","https://openalex.org/W1982114217","https://openalex.org/W1999412262","https://openalex.org/W2021138238","https://openalex.org/W2055913517","https://openalex.org/W2063490865","https://openalex.org/W2082453965","https://openalex.org/W2091464348","https://openalex.org/W2091503252","https://openalex.org/W2093191240","https://openalex.org/W2117086609","https://openalex.org/W2118269922","https://openalex.org/W2125336854","https://openalex.org/W2133911770","https://openalex.org/W2144679084","https://openalex.org/W2147152072","https://openalex.org/W2151546096","https://openalex.org/W2169801613","https://openalex.org/W2800633717","https://openalex.org/W2914885528","https://openalex.org/W4234062088","https://openalex.org/W4298468057","https://openalex.org/W4320800818"],"related_works":["https://openalex.org/W2573424097","https://openalex.org/W826460979","https://openalex.org/W2031096531","https://openalex.org/W2186643570","https://openalex.org/W1984753464","https://openalex.org/W2590792214","https://openalex.org/W3197447665","https://openalex.org/W2602624304","https://openalex.org/W4327774125","https://openalex.org/W4386752185"],"abstract_inverted_index":{"To":[0],"reason":[1,35],"about":[2,25],"the":[3,26,33,47,51,76,89,97,109,120,133,141,155,168,171,175,190,226,247,254,259,280,289,292,301,307],"meaning":[4],"of":[5,63,68,70,111,128,150,162,198,228,249,288,309],"an":[6],"image,":[7],"useful":[8,164],"information":[9,24],"should":[10],"be":[11],"provided":[12],"with":[13,125],"that":[14,44,74,88,122,135,166,179,277],"image;":[15],"however,":[16],"images":[17,80,199],"often":[18],"contain":[19],"little":[20],"to":[21,118,268,285],"no":[22],"textual":[23],"objects":[27],"they":[28,136],"are":[29,93,137],"depicting,":[30],"which":[31,66,107],"is":[32,38,108,123,152],"precise":[34],"why":[36],"there":[37],"a":[39,60,86,99,112,129,145,148,163,186,207],"need":[40],"for":[41,102,209,297],"CBIR":[42,187],"systems":[43],"exploit":[45],"only":[46,232,286],"correlations":[48],"present":[49],"in":[50,84,132,160,174,192],"raw":[52],"pixel":[53],"data.":[54],"In":[55,144],"this":[56],"paper,":[57],"we":[58],"proposed":[59,221],"new":[61,100],"type":[62],"image":[64,104,142,193,211,270],"feature,":[65,131],"consists":[67],"patterns":[69],"colors":[71],"and":[72,81,91,205,236,243,257,294],"intensities":[73],"capture":[75],"latent":[77],"associations":[78,230],"among":[79,263],"primitive":[82,203],"features":[83,204],"such":[85],"way":[87],"noise":[90],"redundancy":[92],"eliminated.":[94],"We":[95,245],"introduced":[96],"synobin,":[98],"term":[101],"content-based":[103],"retrieval":[105,194,255,271],"literature,":[106],"equivalent":[110],"synonym":[113],"word":[114],"from":[115,213],"text":[116],"retrieval,":[117],"name":[119],"bin":[121],"synonymous":[124],"other":[126],"bins":[127,158,169],"color":[130],"sense":[134],"similarly":[138],"used":[139],"across":[140],"database.":[143],"formal":[146],"definition,":[147],"group":[149],"synobins":[151],"given":[153],"by":[154],"most":[156],"important":[157],"participating":[159],"forming":[161],"pattern,":[165],"is,":[167],"having":[170],"highest":[172],"coefficients":[173],"linear":[176],"combination":[177],"defining":[178],"pattern.":[180],"Incorporating":[181],"our":[182,220,250,273,298],"feature":[183,222,281],"model":[184,223],"into":[185],"system":[188,217,251,299],"moves":[189],"research":[191],"beyond":[195],"simple":[196],"matching":[197],"based":[200,252],"on":[201,253,258,306],"their":[202],"creates":[206],"ground":[208],"learning":[210,229],"semantics":[212],"visual":[214],"content.":[215],"A":[216],"developed":[218],"using":[219],"will":[224],"have":[225],"capability":[227],"not":[231],"between":[233,240],"semantic":[234,241],"concepts":[235,242],"images,":[237],"but":[238],"also":[239],"patterns.":[244],"evaluated":[246],"performance":[248],"accuracy":[256,293],"perceptual":[260,295],"similarity":[261,296],"order":[262],"retrieved":[264],"images.":[265,310],"When":[266],"compared":[267],"standard":[269],"methods,":[272],"preliminary":[274],"results":[275],"show":[276],"even":[278],"if":[279],"space":[282],"was":[283],"reduced":[284],"3%\u20135%":[287],"initial":[290],"space,":[291],"remain":[300],"same":[302],"or":[303],"better":[304],"depending":[305],"category":[308]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
