{"id":"https://openalex.org/W2097339201","doi":"https://doi.org/10.1109/icmla.2009.131","title":"An Image Clustering and Retrieval Framework Using Feedback-Based Integrated Region Matching","display_name":"An Image Clustering and Retrieval Framework Using Feedback-Based Integrated Region Matching","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2097339201","doi":"https://doi.org/10.1109/icmla.2009.131","mag":"2097339201"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmla.2009.131","pdf_url":null,"source":{"id":"https://openalex.org/S4306419645","display_name":"International Conference on Machine Learning and Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5101782458","display_name":"Liping Zhou","orcid":"https://orcid.org/0000-0002-5670-2373"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liping Zhou","raw_affiliation_strings":["Dept. of Comput. & Inf. Sci., Univ. of Alabama at Birmingham, Birmingham, AL, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Comput. & Inf. Sci., Univ. of Alabama at Birmingham, Birmingham, AL, USA","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061568662","display_name":"Chengcui Zhang","orcid":"https://orcid.org/0000-0002-5868-6450"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengcui Zhang","raw_affiliation_strings":["Dept. of Comput. & Inf. Sci., Univ. of Alabama at Birmingham, Birmingham, AL, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Comput. & Inf. Sci., Univ. of Alabama at Birmingham, Birmingham, AL, USA","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111963867","display_name":"Wen Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wen Wan","raw_affiliation_strings":["Div. of Preventive Med., Univ. of Alabama at Birmingham, Birmingham, AL, USA"],"affiliations":[{"raw_affiliation_string":"Div. of Preventive Med., Univ. of Alabama at Birmingham, Birmingham, AL, USA","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075923850","display_name":"Jeffrey B. Birch","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey Birch","raw_affiliation_strings":["Dept. of Stat., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Stat., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072192748","display_name":"Wei-Bang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei-Bang Chen","raw_affiliation_strings":["Dept. of Comput. & Inf. Sci., Univ. of Alabama at Birmingham, Birmingham, AL, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Comput. & Inf. Sci., Univ. of Alabama at Birmingham, Birmingham, AL, USA","institution_ids":["https://openalex.org/I32389192"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.231,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":2,"citation_normalized_percentile":{"value":0.347879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":71,"max":74},"biblio":{"volume":null,"issue":null,"first_page":"596","last_page":"601"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9999,"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":0.9999,"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":0.9993,"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":0.9731,"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/relevance-feedback","display_name":"Relevance Feedback","score":0.7231846},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance","score":0.4494436}],"concepts":[{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.83088094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78681695},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.7231846},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7070386},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.63556445},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.63262796},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.56005925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.514957},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48900163},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4494436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44942236},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44142893},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.41977456},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.400688},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10092774},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmla.2009.131","pdf_url":null,"source":{"id":"https://openalex.org/S4306419645","display_name":"International Conference on Machine Learning and Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":13,"referenced_works":["https://openalex.org/W1544329015","https://openalex.org/W2017263005","https://openalex.org/W2020119802","https://openalex.org/W2109868644","https://openalex.org/W2134566588","https://openalex.org/W2135705692","https://openalex.org/W2139212933","https://openalex.org/W2143109593","https://openalex.org/W2151451293","https://openalex.org/W2238531776","https://openalex.org/W2336687883","https://openalex.org/W4212901086","https://openalex.org/W4324106947"],"related_works":["https://openalex.org/W79946180","https://openalex.org/W4387423606","https://openalex.org/W2918350319","https://openalex.org/W2186394444","https://openalex.org/W2123147980","https://openalex.org/W2076842684","https://openalex.org/W2066590080","https://openalex.org/W2011260834","https://openalex.org/W1964214194","https://openalex.org/W1539573266"],"abstract_inverted_index":{"Most":[0],"existing":[1],"object-based":[2,98],"image":[3,20,59,84,99],"retrieval":[4,28,95],"systems":[5],"are":[6],"based":[7],"on":[8,81],"single":[9],"object":[10,35],"matching,":[11],"with":[12,65],"its":[13],"main":[14],"limitation":[15],"being":[16],"that":[17],"one":[18,34],"individual":[19],"region":[21],"(object)":[22],"can":[23],"hardly":[24],"represent":[25],"the":[26,41,77,87],"user's":[27],"target":[29],"especially":[30],"when":[31],"more":[32],"than":[33],"of":[36,76,89],"interest":[37],"is":[38,79],"involved":[39],"in":[40,92,97],"retrieval.":[42,100],"In":[43],"this":[44],"paper,":[45],"we":[46],"present":[47],"a":[48,57,82],"Feedback-based":[49],"Image":[50],"Clustering":[51],"and":[52,62,70],"Retrieval":[53],"Framework":[54],"(FIRM)":[55],"using":[56],"novel":[58],"clustering":[60],"algorithm":[61],"integrating":[63],"it":[64],"Integrated":[66],"Region":[67],"Matching":[68],"(IRM)":[69],"Relevance":[71],"Feedback":[72],"(RF).":[73],"The":[74],"performance":[75],"system":[78],"evaluated":[80],"large":[83],"database,":[85],"demonstrating":[86],"effectiveness":[88],"our":[90],"framework":[91],"reflecting":[93],"users'":[94],"interests":[96]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2097339201","counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2024-12-18T10:33:29.954030","created_date":"2016-06-24"}