{"id":"https://openalex.org/W2060513422","doi":"https://doi.org/10.1109/ictc.2012.6387134","title":"Image retrieval scheme based on adaptive feature weighting","display_name":"Image retrieval scheme based on adaptive feature weighting","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2060513422","doi":"https://doi.org/10.1109/ictc.2012.6387134","mag":"2060513422"},"language":"en","primary_location":{"id":"doi:10.1109/ictc.2012.6387134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2012.6387134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on ICT Convergence (ICTC)","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/A5103120773","display_name":"Kang Wook Kim","orcid":"https://orcid.org/0000-0002-3959-9191"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kang-Wook Kim","raw_affiliation_strings":["Mobile Comm. Division, R&D Team, Samsung Electronics Co., Ltd, Suwon-si, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mobile Comm. Division, R&D Team, Samsung Electronics Co., Ltd, Suwon-si, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112376189","display_name":"Seong-Geun Kwon","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113474","display_name":"Kyungil University","ror":"https://ror.org/024kwvm84","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210113474"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Geun Kwon","raw_affiliation_strings":["Dept. of Electronic Engineering, Kyungil Univ., Gyeongsan-si, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronic Engineering, Kyungil Univ., Gyeongsan-si, Korea","institution_ids":["https://openalex.org/I4210113474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12922485,"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":"747","last_page":"751"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9991000294685364,"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":0.9081000089645386,"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/image-retrieval","display_name":"Image retrieval","score":0.7922451496124268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7873537540435791},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7675464153289795},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6823083758354187},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6540361642837524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5861788988113403},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5711296796798706},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.5561596751213074},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5548129677772522},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.5530046224594116},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5380403995513916},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.5347954630851746},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.5041784048080444},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4957934319972992},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.45371919870376587},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4280143976211548},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3589130938053131},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3458781838417053},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3281288146972656},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2662253677845001},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13586822152137756}],"concepts":[{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7922451496124268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7873537540435791},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7675464153289795},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6823083758354187},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6540361642837524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5861788988113403},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5711296796798706},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.5561596751213074},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5548129677772522},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.5530046224594116},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5380403995513916},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.5347954630851746},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.5041784048080444},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4957934319972992},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.45371919870376587},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4280143976211548},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3589130938053131},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3458781838417053},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3281288146972656},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2662253677845001},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13586822152137756},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc.2012.6387134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2012.6387134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on ICT Convergence (ICTC)","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":8,"referenced_works":["https://openalex.org/W1513194732","https://openalex.org/W1974401500","https://openalex.org/W2114130023","https://openalex.org/W2120862088","https://openalex.org/W2134958224","https://openalex.org/W2162223332","https://openalex.org/W2534459178","https://openalex.org/W2556373872"],"related_works":["https://openalex.org/W2573424097","https://openalex.org/W2011260834","https://openalex.org/W2031096531","https://openalex.org/W2918350319","https://openalex.org/W826460979","https://openalex.org/W2187873862","https://openalex.org/W2186643570","https://openalex.org/W1987618107","https://openalex.org/W1984753464","https://openalex.org/W2798760230"],"abstract_inverted_index":{"Typical":[0],"image":[1,13,20,32,66,82],"features":[2,48,67],"such":[3,119],"as":[4,120],"color,":[5],"shape,":[6],"and":[7,126],"texture":[8],"are":[9],"used":[10],"in":[11,25,89,113],"content-based":[12],"retrieval.":[14],"Retrieval":[15],"which":[16,92],"uses":[17],"only":[18],"one":[19],"feature":[21,83],"has":[22,107],"worse":[23],"performance":[24,109,117],"case":[26],"where":[27,36],"the":[28,53,65,104],"content":[29],"of":[30,55,64,94,97],"an":[31],"is":[33,58],"complex":[34],"or":[35],"a":[37,76],"database":[38],"contains":[39],"many":[40,43],"images.":[41,98],"So,":[42],"approaches":[44,57],"for":[45],"integrating":[46],"these":[47,56],"have":[49],"been":[50],"studied.":[51],"However,":[52],"problem":[54],"how":[59],"to":[60,115],"appropriately":[61],"assign":[62],"weighting":[63],"at":[68],"query":[69],"time.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74],"propose":[75],"new":[77],"retrieval":[78,124],"method":[79,106],"using":[80],"adaptive":[81],"weighting.":[84],"We":[85],"perform":[86],"computer":[87],"simulations":[88],"test":[90],"databases":[91],"consist":[93],"various":[95],"kinds":[96],"The":[99],"experimental":[100],"results":[101],"show":[102],"that":[103],"proposed":[105],"better":[108],"than":[110],"previous":[111],"works":[112],"respect":[114],"several":[116],"evaluations":[118],"precision":[121],"vs.":[122],"recall,":[123],"efficiency,":[125],"ranking":[127],"measure.":[128]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}