{"id":"https://openalex.org/W2155479617","doi":"https://doi.org/10.1109/fuzz.2003.1206596","title":"Looking beyond region boundaries: a robust image similarity measure using fuzzified region features","display_name":"Looking beyond region boundaries: a robust image similarity measure using fuzzified region features","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W2155479617","doi":"https://doi.org/10.1109/fuzz.2003.1206596","mag":"2155479617"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz.2003.1206596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2003.1206596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","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/A5100393444","display_name":"Yixin Chen","orcid":"https://orcid.org/0000-0002-2939-2541"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yixin Chen","raw_affiliation_strings":["Pennsylvania State University, University Park, PA, US","School of Information Sciences and Technology, Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, PA, US","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"School of Information Sciences and Technology, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100687159","display_name":"James Z. Wang","orcid":"https://orcid.org/0000-0003-4379-4173"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.Z. Wang","raw_affiliation_strings":["Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100393444"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.5517,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71275714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1165","last_page":"1170"},"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval 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/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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9901000261306763,"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/robustness","display_name":"Robustness (evolution)","score":0.8260629177093506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7858915328979492},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6980137228965759},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5917607545852661},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5846964120864868},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5828479528427124},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5546103715896606},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5540397763252258},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5057482719421387},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.49849629402160645},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4945633113384247},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.49306389689445496},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4899439215660095},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.48421549797058105},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4449816346168518},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.43906232714653015},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.43104127049446106},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3222730755805969},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.317440927028656}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8260629177093506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7858915328979492},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6980137228965759},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5917607545852661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5846964120864868},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5828479528427124},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5546103715896606},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5540397763252258},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5057482719421387},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.49849629402160645},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4945633113384247},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.49306389689445496},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4899439215660095},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.48421549797058105},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4449816346168518},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.43906232714653015},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.43104127049446106},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3222730755805969},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.317440927028656},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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":2,"locations":[{"id":"doi:10.1109/fuzz.2003.1206596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2003.1206596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.84.9826","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.84.9826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://john.cs.olemiss.edu/~ychen/publications/conference/chen_fuzzieee03i.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320329417","display_name":"Universidade Federal de Mato Grosso do Sul","ror":"https://ror.org/0366d2847"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1947400014","https://openalex.org/W1975830550","https://openalex.org/W2008297189","https://openalex.org/W2011549082","https://openalex.org/W2063587308","https://openalex.org/W2066610120","https://openalex.org/W2066676459","https://openalex.org/W2091503252","https://openalex.org/W2098152234","https://openalex.org/W2109868644","https://openalex.org/W2132204530","https://openalex.org/W2135705692","https://openalex.org/W2145011027","https://openalex.org/W2149258349","https://openalex.org/W2155099190","https://openalex.org/W2159903284","https://openalex.org/W2169899158","https://openalex.org/W6683433482"],"related_works":["https://openalex.org/W2106653363","https://openalex.org/W2960611766","https://openalex.org/W2416959398","https://openalex.org/W1595732891","https://openalex.org/W2272518945","https://openalex.org/W1561599630","https://openalex.org/W2543421750","https://openalex.org/W1987618107","https://openalex.org/W2761229199","https://openalex.org/W2900811989"],"abstract_inverted_index":{"The":[0,68,92],"performance":[1],"of":[2,13,31,50,54,83,100],"most":[3],"region-based":[4],"image":[5,44],"retrieval":[6,33,41],"systems":[7],"depend":[8],"critically":[9],"on":[10,97],"the":[11,29,32,77,89],"accuracy":[12,109],"object":[14],"segmentation.":[15],"We":[16],"propose":[17],"a":[18,48,59,98],"region":[19],"matching":[20,24],"approach,":[21],"unified":[22],"feature":[23,61],"(UFM),":[25],"which":[26,55],"greatly":[27],"increases":[28],"robustness":[30],"system":[34,93],"against":[35],"segmentation":[36],"related":[37],"uncertainties.":[38],"In":[39],"our":[40],"system,":[42],"an":[43],"is":[45,56,73],"represented":[46],"by":[47,58,88],"set":[49],"segmented":[51],"regions":[52],"each":[53],"characterized":[57],"fuzzy":[60,84],"reflecting":[62],"color,":[63],"texture,":[64],"and":[65,86,110],"shape":[66],"properties.":[67],"resemblance":[69],"between":[70,80],"two":[71,81],"images":[72],"then":[74],"defined":[75],"as":[76],"overall":[78],"similarity":[79],"families":[82],"features,":[85],"quantified":[87],"UFM":[90],"measure.":[91],"has":[94],"been":[95],"tested":[96],"database":[99],"about":[101],"60,000":[102],"general-purpose":[103],"images.":[104],"Experimental":[105],"results":[106],"demonstrate":[107],"improved":[108],"robustness.":[111]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}