{"id":"https://openalex.org/W2029148713","doi":"https://doi.org/10.1145/1363686.1363965","title":"Handle local optimum traps in CBIR systems","display_name":"Handle local optimum traps in CBIR systems","publication_year":2008,"publication_date":"2008-03-16","ids":{"openalex":"https://openalex.org/W2029148713","doi":"https://doi.org/10.1145/1363686.1363965","mag":"2029148713"},"language":"en","primary_location":{"id":"doi:10.1145/1363686.1363965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1363686.1363965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM symposium on Applied computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/scopus2000/9698","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020963883","display_name":"Danzhou Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Danzhou Liu","raw_affiliation_strings":["University of Central Florida, Orlando, Florida","University of Central Florida, Orlando, Florida;"],"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, Florida","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"University of Central Florida, Orlando, Florida;","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110083332","display_name":"Kien A. Hua","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kien A. Hua","raw_affiliation_strings":["University of Central Florida, Orlando, Florida","University of Central Florida, Orlando, Florida;"],"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, Florida","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"University of Central Florida, Orlando, Florida;","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101511710","display_name":"Hao Cheng","orcid":"https://orcid.org/0000-0001-7212-5134"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Cheng","raw_affiliation_strings":["University of Central Florida, Orlando, Florida","University of Central Florida, Orlando, Florida;"],"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, Florida","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"University of Central Florida, Orlando, Florida;","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020963883"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08342092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1202","last_page":"1206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9994999766349792,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/relevance-feedback","display_name":"Relevance feedback","score":0.934515118598938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.780932605266571},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.7201718688011169},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.6794109344482422},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6537866592407227},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5149884819984436},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.513966977596283},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4744853973388672},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.4419211447238922},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4346386790275574},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.4336645305156708},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43150651454925537},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3291581869125366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.280750036239624},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2317301630973816},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15760767459869385}],"concepts":[{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.934515118598938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.780932605266571},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.7201718688011169},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.6794109344482422},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6537866592407227},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5149884819984436},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.513966977596283},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4744853973388672},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.4419211447238922},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4346386790275574},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.4336645305156708},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43150651454925537},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3291581869125366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.280750036239624},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2317301630973816},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15760767459869385},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1363686.1363965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1363686.1363965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM symposium on Applied computing","raw_type":"proceedings-article"},{"id":"pmh:oai:stars.library.ucf.edu:scopus2000-10697","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2000/9698","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2000s","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:scopus2000-10697","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2000/9698","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2000s","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5299999713897705,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W57915300","https://openalex.org/W1607838481","https://openalex.org/W1992467225","https://openalex.org/W2024060531","https://openalex.org/W2028936054","https://openalex.org/W2101498401","https://openalex.org/W2110889574","https://openalex.org/W2122246689","https://openalex.org/W2123991572","https://openalex.org/W2124222502","https://openalex.org/W2125464986","https://openalex.org/W2133566592","https://openalex.org/W2140190241","https://openalex.org/W2151135734","https://openalex.org/W2154191424","https://openalex.org/W2167081989","https://openalex.org/W2295106276","https://openalex.org/W4237841550","https://openalex.org/W4244952642"],"related_works":["https://openalex.org/W2034539438","https://openalex.org/W2124645781","https://openalex.org/W2123829500","https://openalex.org/W2184057774","https://openalex.org/W2305572622","https://openalex.org/W1606474234","https://openalex.org/W1497114142","https://openalex.org/W2133641558","https://openalex.org/W2096561479","https://openalex.org/W2411245752"],"abstract_inverted_index":{"Existing":[0],"CBIR":[1,80,150],"systems,":[2],"designed":[3],"around":[4],"query":[5,54],"refinement":[6],"based":[7],"on":[8],"relevance":[9,45,58],"feedback,":[10],"suffer":[11],"from":[12,112],"local":[13,65,114],"optimum":[14],"traps.":[15],"That":[16],"is,":[17],"when":[18],"the":[19,32,41,48,52,57,74,113,138,146],"user":[20,42,49],"is":[21],"examining":[22],"a":[23,64,88,98,103],"relevant":[24,29],"cluster":[25],"surrounded":[26],"by":[27],"less":[28],"images,":[30],"essentially":[31],"same":[33,53],"set":[34],"of":[35,78,148],"images":[36,55],"will":[37],"be":[38],"returned":[39],"for":[40],"to":[43,92,110,122],"provide":[44],"feedback.":[46],"Since":[47],"would":[50],"select":[51],"again,":[56],"feedback":[59],"process":[60],"gets":[61],"trapped":[62],"in":[63],"optimum.":[66,115],"This":[67],"local-optimum":[68,139],"trap":[69,140],"problem":[70],"may":[71],"severely":[72],"impair":[73],"overall":[75],"retrieval":[76],"performance":[77],"today's":[79],"systems.":[81,151],"In":[82],"this":[83,94],"paper,":[84],"we":[85,101],"therefore":[86,143],"propose":[87,118],"simulated":[89,108],"annealing-based":[90],"approach":[91,134],"address":[93,137],"important":[95],"issue.":[96],"When":[97],"stuck-at-a-local-optimum":[99],"occurs,":[100],"employ":[102],"neighborhood":[104,126],"search":[105],"technique":[106],"(i.e.,":[107],"annealing)":[109],"escape":[111],"We":[116],"also":[117],"an":[119],"index":[120],"structure":[121],"speed":[123],"up":[124],"such":[125],"search.":[127],"Our":[128],"experimental":[129],"study":[130],"confirms":[131],"that":[132],"our":[133],"can":[135,144],"efficiently":[136],"problem,":[141],"and":[142],"improve":[145],"effectiveness":[147],"existing":[149]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}