{"id":"https://openalex.org/W2039235422","doi":"https://doi.org/10.1145/2379790.2379796","title":"Object-based image retrieval with kernel on adjacency matrix and local combined features","display_name":"Object-based image retrieval with kernel on adjacency matrix and local combined features","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2039235422","doi":"https://doi.org/10.1145/2379790.2379796","mag":"2039235422"},"language":"en","primary_location":{"id":"doi:10.1145/2379790.2379796","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2379790.2379796","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-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/A5087744818","display_name":"Heng Qi","orcid":"https://orcid.org/0000-0002-8770-3934"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Qi","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111982109","display_name":"Keqiu Li","orcid":"https://orcid.org/0000-0003-1758-3030"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keqiu Li","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026378565","display_name":"Yanming Shen","orcid":"https://orcid.org/0000-0003-4108-0230"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanming Shen","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041346888","display_name":"Wenyu Qu","orcid":"https://orcid.org/0000-0003-4817-5187"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyu Qu","raw_affiliation_strings":["Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9065,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87409437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":"4","first_page":"1","last_page":"18"},"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":0.9998000264167786,"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"}},"topics":[{"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/T10824","display_name":"Image Retrieval and Classification 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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9890999794006348,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7303880453109741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6910071969032288},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.659876823425293},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.653106153011322},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.5883803963661194},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5569295883178711},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.546909511089325},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.5044583082199097},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.47265589237213135},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4405209720134735},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.42885416746139526},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.42585262656211853},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4148585796356201},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4107569754123688},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33837151527404785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.334506630897522}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7303880453109741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6910071969032288},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.659876823425293},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.653106153011322},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.5883803963661194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5569295883178711},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.546909511089325},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5044583082199097},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.47265589237213135},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4405209720134735},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.42885416746139526},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.42585262656211853},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4148585796356201},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4107569754123688},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33837151527404785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.334506630897522},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"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:10.1145/2379790.2379796","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2379790.2379796","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6821985095","display_name":null,"funder_award_id":"60973115, 60973117, 61173160, 61173162, and 61173165","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1510073064","https://openalex.org/W1576445103","https://openalex.org/W1586847502","https://openalex.org/W1999478155","https://openalex.org/W2000033362","https://openalex.org/W2027922120","https://openalex.org/W2057628792","https://openalex.org/W2092617647","https://openalex.org/W2101087387","https://openalex.org/W2102151354","https://openalex.org/W2104978738","https://openalex.org/W2109868644","https://openalex.org/W2109943925","https://openalex.org/W2115467367","https://openalex.org/W2120515362","https://openalex.org/W2126326837","https://openalex.org/W2131734509","https://openalex.org/W2131846894","https://openalex.org/W2134692386","https://openalex.org/W2135705692","https://openalex.org/W2147238549","https://openalex.org/W2148603752","https://openalex.org/W2148809531","https://openalex.org/W2154610165","https://openalex.org/W2159727956","https://openalex.org/W2162915993","https://openalex.org/W2167424169","https://openalex.org/W2623012778","https://openalex.org/W4234552385","https://openalex.org/W4253716310","https://openalex.org/W4302866247","https://openalex.org/W6675021974"],"related_works":["https://openalex.org/W2573424097","https://openalex.org/W826460979","https://openalex.org/W2031096531","https://openalex.org/W2798760230","https://openalex.org/W2186643570","https://openalex.org/W1984753464","https://openalex.org/W2590792214","https://openalex.org/W3197447665","https://openalex.org/W4327774125","https://openalex.org/W2602624304"],"abstract_inverted_index":{"In":[0,37,116],"object-based":[1,50,101,193,209],"image":[2,11,16,21,39,51,67,102,152,194,199,210],"retrieval,":[3],"there":[4,78],"are":[5,90],"two":[6,197],"important":[7],"issues:":[8],"an":[9,19,80],"effective":[10,20],"representation":[12,40,44,76],"method":[13,23],"for":[14,24,49],"representing":[15],"content":[17,153],"and":[18,110,124,135,154],"classification":[22,56],"processing":[25],"user":[26],"feedback":[27],"to":[28,105,130,150,158,167],"find":[29],"more":[30],"images":[31],"containing":[32],"the":[33,38,42,46,74,107,111,125,132,136,142,146,155,160,168,174,179,187,206,216],"user-desired":[34],"object":[35],"categories.":[36],"method,":[41,57],"local-based":[43,75],"is":[45,79],"best":[47],"selection":[48],"retrieval.":[52],"As":[53],"a":[54],"kernel-based":[55],"Support":[58],"Vector":[59],"Machine":[60],"(SVM)":[61],"has":[62],"shown":[63],"impressive":[64],"performance":[65,207],"on":[66,73,196],"classification.":[68],"But":[69],"SVM":[70],"cannot":[71,97],"work":[72,98],"unless":[77],"appropriate":[81],"kernel.":[82,143,218],"To":[83],"address":[84],"this":[85,117],"problem,":[86],"some":[87],"representative":[88],"kernels":[89,96],"proposed":[91,175,188,217],"in":[92,100],"literatures.":[93],"However,":[94],"these":[95],"effectively":[99],"retrieval":[103,195,211],"due":[104],"ignoring":[106],"spatial":[108,133],"context":[109,134],"combination":[112,137],"of":[113,138,181,192,208],"local":[114,139],"features.":[115],"article,":[118],"we":[119,171,185],"present":[120],"Adjacent":[121],"Matrix":[122],"(AM)":[123],"Local":[126],"Combined":[127],"Features":[128],"(LCF)":[129],"incorporate":[131],"features":[140],"into":[141],"We":[144],"propose":[145],"AM-LCF":[147,156,163],"feature":[148,164],"vector":[149],"represent":[151],"kernel":[157,176,189],"measure":[159],"similarities":[161],"between":[162],"vectors.":[165],"According":[166],"detailed":[169],"analysis,":[170],"show":[172,204],"that":[173,205],"can":[177,212],"overcome":[178],"deficiencies":[180],"existing":[182],"kernels.":[183],"Moreover,":[184],"evaluate":[186],"through":[190],"experiments":[191],"public":[198],"sets.":[200],"The":[201],"experimental":[202],"results":[203],"be":[213],"improved":[214],"by":[215]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
