{"id":"https://openalex.org/W2110281663","doi":"https://doi.org/10.1109/tip.2006.881966","title":"Automatic Object Extraction Over Multiscale Edge Field for Multimedia Retrieval","display_name":"Automatic Object Extraction Over Multiscale Edge Field for Multimedia Retrieval","publication_year":2006,"publication_date":"2006-11-16","ids":{"openalex":"https://openalex.org/W2110281663","doi":"https://doi.org/10.1109/tip.2006.881966","mag":"2110281663","pmid":"https://pubmed.ncbi.nlm.nih.gov/17153949"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2006.881966","doi":"https://doi.org/10.1109/tip.2006.881966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2006.881966","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Transactions on Image Processing","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W2110281663"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"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/A5047979812","display_name":"Serkan Kiranyaz B","orcid":"https://orcid.org/0000-0003-1551-3397","observed_orcids":["https://orcid.org/0000-0003-1551-3397"]},"institutions":[{"id":"https://openalex.org/I4387152565","display_name":"Tampere University of Technology","ror":"https://ror.org/02ba3pt07","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849","https://openalex.org/I4387152565"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Serkan Kiranyaz","raw_affiliation_strings":["Institute of Signal Processing, Tampere University of Technology, FIN-33101 Tampere, Finland. serkan@cs.tut.fi","Inst. of Signal Process., Tampere Univ. of Technol.#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing, Tampere University of Technology, FIN-33101 Tampere, Finland. serkan@cs.tut.fi","institution_ids":["https://openalex.org/I4387152565"]},{"raw_affiliation_string":"Inst. of Signal Process., Tampere Univ. of Technol.#TAB#","institution_ids":["https://openalex.org/I4387152565"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036821428","display_name":"Miguel Ferreira","orcid":"https://orcid.org/0009-0006-9290-2686","observed_orcids":["https://orcid.org/0009-0006-9290-2686"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miguel Ferreira","raw_affiliation_strings":["Lisboa, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lisboa, Portugal","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007583477","display_name":"Moncef Gabbouj","orcid":"https://orcid.org/0000-0002-9788-2323","observed_orcids":["https://orcid.org/0000-0002-9788-2323"]},"institutions":[{"id":"https://openalex.org/I4387152565","display_name":"Tampere University of Technology","ror":"https://ror.org/02ba3pt07","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849","https://openalex.org/I4387152565"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Moncef Gabbouj","raw_affiliation_strings":["Institute of Signal Processing, Tampere University of Technology, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4387152565"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.6685,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.74786095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"15","issue":"12","first_page":"3759","last_page":"3772"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9951000213623047,"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":0.9951000213623047,"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":0.00279999990016222,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.00039999998989515007,"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/object-boundary-extraction","display_name":"object boundary extraction","score":0.9739999771118164},{"id":"https://openalex.org/keywords/multiscale-edge-detection","display_name":"multi-scale edge detection","score":0.7620000243186951},{"id":"https://openalex.org/keywords/gestalt-principles","display_name":"Gestalt principles","score":0.8080000281333923},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"content-based image retrieval","score":0.8190000057220459},{"id":"https://openalex.org/keywords/content-based-video-retrieval","display_name":"content-based video retrieval","score":0.859000027179718},{"id":"https://openalex.org/keywords/multimedia-indexing","display_name":"multimedia indexing","score":0.6579999923706055},{"id":"https://openalex.org/keywords/shape-description","display_name":"shape description","score":0.7039999961853027},{"id":"https://openalex.org/keywords/image-simplification","display_name":"image simplification","score":0.5979999899864197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7991529703140259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6861242055892944},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6479144096374512},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6157342791557312},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5943613648414612},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5583340525627136},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5347321033477783},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4384954273700714},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.43608540296554565},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4270840287208557},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3426295518875122},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19329842925071716},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019212","descriptor_name":"Multimedia","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2006.881966","doi":"https://doi.org/10.1109/tip.2006.881966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2006.881966","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:17153949","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/17153949","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1748744376","https://openalex.org/W1970800786","https://openalex.org/W1977022569","https://openalex.org/W1999478155","https://openalex.org/W2096579040","https://openalex.org/W2096935065","https://openalex.org/W2099244020","https://openalex.org/W2101492626","https://openalex.org/W2104019579","https://openalex.org/W2104095591","https://openalex.org/W2115548199","https://openalex.org/W2118165586","https://openalex.org/W2118331541","https://openalex.org/W2122410182","https://openalex.org/W2140479969","https://openalex.org/W2142707712","https://openalex.org/W2145023731","https://openalex.org/W2145378482","https://openalex.org/W2148107745","https://openalex.org/W2150134853","https://openalex.org/W2169099300","https://openalex.org/W2623293810","https://openalex.org/W2750072828","https://openalex.org/W3100816363","https://openalex.org/W3214386716","https://openalex.org/W4246617675"],"related_works":["https://openalex.org/W7095476110","https://openalex.org/W2112911943","https://openalex.org/W7096379763","https://openalex.org/W2156203145","https://openalex.org/W7098086570","https://openalex.org/W2393699573","https://openalex.org/W1980026140","https://openalex.org/W4285057097","https://openalex.org/W4386700042","https://openalex.org/W1972788918"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"focus":[4],"on":[5],"automatic":[6],"extraction":[7,130,146],"of":[8,18,40,59,142,155],"object":[9,86,145],"boundaries":[10],"from":[11,65],"Canny":[12],"edge":[13],"field":[14],"for":[15,104,109],"the":[16,41,60,66,125,139,143,153,172,177],"purpose":[17],"content-based":[19],"indexing":[20,157],"and":[21,25,50,68,96,115,120,148,158,166],"retrieval":[22,162,183],"over":[23,73],"image":[24,42,67],"video":[26],"databases.":[27],"A":[28,160],"multiscale":[29],"approach":[30],"is":[31,79,90,164],"adopted":[32],"where":[33],"each":[34,57],"successive":[35],"scale":[36],"provides":[37],"further":[38],"simplification":[39],"by":[43,93,189],"removing":[44],"more":[45],"details,":[46],"such":[47,181,193],"as":[48,128,194],"texture":[49],"noise,":[51],"while":[52],"keeping":[53],"major":[54],"edges.":[55],"At":[56],"stage":[58],"simplification,":[61],"edges":[62,114],"are":[63],"extracted":[64],"gathered":[69],"in":[70,81,152,168],"a":[71,75,101,182],"scale-map,":[72],"which":[74],"perceptual":[76],"subsegment":[77],"analysis":[78,89],"performed":[80],"order":[82],"to":[83,137],"extract":[84],"true":[85],"boundaries.":[87],"The":[88],"mainly":[91],"motivated":[92],"Gestalt":[94],"laws":[95],"our":[97],"experimental":[98,173],"results":[99,174],"suggest":[100],"promising":[102,161],"performance":[103,141,163,184],"main":[105],"objects":[106,116],"extraction,":[107],"even":[108],"images":[110],"with":[111,117],"crowded":[112],"textural":[113],"color,":[118],"texture,":[119],"illumination":[121],"variations.":[122],"Finally,":[123],"integrating":[124],"whole":[126],"process":[127],"feature":[129],"module":[131],"into":[132],"MUVIS":[133],"framework":[134],"allows":[135],"us":[136],"test":[138],"mutual":[140],"proposed":[144,178],"method":[147,179],"subsequent":[149],"shape":[150],"description":[151],"context":[154],"multimedia":[156],"retrieval.":[159],"achieved,":[165],"especially":[167],"some":[169],"particular":[170],"examples,":[171],"show":[175],"that":[176,185],"presents":[180],"cannot":[186],"be":[187],"achieved":[188],"using":[190],"other":[191],"features":[192],"color":[195],"or":[196],"texture.":[197]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2016-06-24T00:00:00"}