{"id":"https://openalex.org/W2076003013","doi":"https://doi.org/10.1145/1666091.1666102","title":"Improving CBIR using feature extraction based on wavelet transform","display_name":"Improving CBIR using feature extraction based on wavelet transform","publication_year":2008,"publication_date":"2008-10-26","ids":{"openalex":"https://openalex.org/W2076003013","doi":"https://doi.org/10.1145/1666091.1666102","mag":"2076003013"},"language":"en","primary_location":{"id":"doi:10.1145/1666091.1666102","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1666091.1666102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Brazilian Symposium on Multimedia and the Web","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/A5113635013","display_name":"Carolina W. da Silva","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carolina W. Silva","raw_affiliation_strings":["ICMC-USP, Sao Carlos - SP, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICMC-USP, Sao Carlos - SP, Brasil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065155873","display_name":"Pedro H. Bugatti","orcid":"https://orcid.org/0000-0001-9421-9254"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pedro H. Bugatti","raw_affiliation_strings":["ICMC-USP, Sao Carlos - SP, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICMC-USP, Sao Carlos - SP, Brasil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004343218","display_name":"Marcela Xavier Ribeiro","orcid":"https://orcid.org/0000-0002-2323-5326"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marcela X. Ribeiro","raw_affiliation_strings":["ICMC-USP, Sao Carlos - SP, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICMC-USP, Sao Carlos - SP, Brasil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020611078","display_name":"Caetano Traina","orcid":"https://orcid.org/0000-0002-6625-6047"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Caetano Traina","raw_affiliation_strings":["ICMC-USP, Sao Carlos - SP, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICMC-USP, Sao Carlos - SP, Brasil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014783020","display_name":"Agma J. M. Traina","orcid":"https://orcid.org/0000-0003-4929-7258"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Agma J. M. Traina","raw_affiliation_strings":["ICMC-USP, Sao Carlos - SP, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICMC-USP, Sao Carlos - SP, Brasil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.355,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64321091,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"51","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9955999851226807,"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/T10901","display_name":"Advanced Data Compression Techniques","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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7284936904907227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6932549476623535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6836374998092651},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6265250444412231},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5974218845367432},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5432412028312683},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5312020182609558},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5284856557846069},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.4649198353290558},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4626072347164154},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4598016142845154},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.45365750789642334},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.428445428609848},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.41076481342315674},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31943976879119873}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7284936904907227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6932549476623535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6836374998092651},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6265250444412231},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5974218845367432},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5432412028312683},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5312020182609558},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5284856557846069},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.4649198353290558},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4626072347164154},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4598016142845154},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.45365750789642334},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.428445428609848},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.41076481342315674},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31943976879119873},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1666091.1666102","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1666091.1666102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Brazilian Symposium on Multimedia and the Web","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":18,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1494985239","https://openalex.org/W1506285740","https://openalex.org/W1579012466","https://openalex.org/W1660390307","https://openalex.org/W1672197616","https://openalex.org/W1854495089","https://openalex.org/W1975449500","https://openalex.org/W1975529235","https://openalex.org/W2063276423","https://openalex.org/W2070703810","https://openalex.org/W2076002909","https://openalex.org/W2076748039","https://openalex.org/W2099908599","https://openalex.org/W2113180829","https://openalex.org/W2145862222","https://openalex.org/W2163952039","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2900811989","https://openalex.org/W2746816529","https://openalex.org/W2341223103","https://openalex.org/W2024252608","https://openalex.org/W2905186525","https://openalex.org/W2044706866","https://openalex.org/W2031096531","https://openalex.org/W4367727948","https://openalex.org/W3198880640","https://openalex.org/W2123991572"],"abstract_inverted_index":{"The":[0,28,53,94,160],"\"gap":[1],"semantic\"":[2],"and":[3,46,151,164],"the":[4,32,47,85,100,103,109,112,119,126,129,135,143,152,179,183],"\"curse":[5],"of":[6,11,51,92,99,114,128,137,148,168],"dimensionality\"":[7],"are":[8,146,162],"two":[9,145],"shortcomings":[10],"content-based":[12],"image":[13,86,140,158],"retrieval":[14],"techniques":[15],"that":[16,35,72],"rely":[17],"on":[18],"automatic":[19],"feature":[20,65,95,130],"extracted":[21,41],"from":[22,88,102],"images":[23,110,150],"to":[24,83,124,170,176],"process":[25],"similarity":[26,60,115],"queries.":[27,116],"first":[29,144],"one":[30,55,154],"represents":[31],"semantic":[33],"gap":[34],"exists":[36],"between":[37],"low-level":[38],"features":[39,101],"automatically":[40],"by":[42],"a":[43,70,89,156],"computational":[44],"system,":[45],"high-level":[48],"user":[49],"interpretation":[50],"images.":[52],"second":[54],"involves":[56],"problems":[57],"occurring":[58],"when":[59],"is":[61,155],"defined":[62],"over":[63],"high-dimensional":[64],"spaces.":[66],"This":[67,132],"paper":[68],"shows":[69,134],"method":[71,121],"deals":[73],"with":[74],"these":[75],"both":[76],"shortcomings.":[77],"We":[78],"use":[79],"discrete":[80],"wavelet":[81,185],"transforms":[82],"obtain":[84],"representation":[87],"multiresolution":[90,120],"point":[91],"view.":[93],"vectors":[96],"were":[97],"composed":[98,147],"approximation":[104],"subspace,":[105],"which":[106],"succinctly":[107],"represent":[108],"in":[111,178],"processing":[113],"In":[117],"addition,":[118],"was":[122],"used":[123],"reduce":[125],"dimensionality":[127],"space.":[131],"work":[133],"evaluation":[136],"three":[138],"different":[139],"datasets,":[141],"where":[142],"medical":[149],"third":[153],"generic":[157],"dataset.":[159],"results":[161,181],"promising":[163],"show":[165],"an":[166],"improvement":[167],"up":[169,175],"90%":[171],"for":[172],"recall":[173],"values":[174],"65%,":[177],"query":[180],"using":[182],"Daubechies":[184],"transform.":[186]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
