{"id":"https://openalex.org/W2039704348","doi":"https://doi.org/10.1145/2072298.2071972","title":"Content quality based image retrieval with multiple instance boost ranking","display_name":"Content quality based image retrieval with multiple instance boost ranking","publication_year":2011,"publication_date":"2011-11-28","ids":{"openalex":"https://openalex.org/W2039704348","doi":"https://doi.org/10.1145/2072298.2071972","mag":"2039704348"},"language":"en","primary_location":{"id":"doi:10.1145/2072298.2071972","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2072298.2071972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Multimedia","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/A5101923893","display_name":"Peng Yang","orcid":"https://orcid.org/0000-0003-1578-658X"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peng Yang","raw_affiliation_strings":["Rutgers University, Piscataway, NJ, USA","Rutgers University , Piscataway, NJ , USA ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Rutgers University , Piscataway, NJ , USA ,","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633106","display_name":"Hui Li","orcid":"https://orcid.org/0000-0002-5401-3013"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["University of Medicine and Dentistry, Piscataway, New Jersey, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Medicine and Dentistry, Piscataway, New Jersey, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404959","display_name":"Qingshan Liu","orcid":"https://orcid.org/0000-0002-5512-6984"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qingshan Liu","raw_affiliation_strings":["Rutgers University, Piscataway, New Jersey, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, Piscataway, New Jersey, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108086354","display_name":"Lin Zhong","orcid":"https://orcid.org/0000-0002-6613-7718"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lin Zhong","raw_affiliation_strings":["Rutgers University, Piscataway, New Jersey, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, Piscataway, New Jersey, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109600054","display_name":"Dimitris Metaxas","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitris Metaxas","raw_affiliation_strings":["Rutgers University, Piscataway, New Jersey, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, Piscataway, New Jersey, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10712224,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1193","last_page":"1196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9990000128746033,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9824000000953674,"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":0.7421298027038574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6916210651397705},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.6240427494049072},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5838789343833923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5629397034645081},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.5384447574615479},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.536204993724823},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.5177399516105652},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.510118305683136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5040832757949829},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4951399862766266},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4906822443008423},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4660901427268982},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4651162922382355},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45359039306640625},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.31141847372055054}],"concepts":[{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7421298027038574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6916210651397705},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.6240427494049072},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5838789343833923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5629397034645081},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.5384447574615479},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.536204993724823},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.5177399516105652},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.510118305683136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5040832757949829},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4951399862766266},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4906822443008423},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4660901427268982},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4651162922382355},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45359039306640625},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31141847372055054},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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:10.1145/2072298.2071972","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2072298.2071972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.434.6036","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.434.6036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.research.rutgers.edu/~linzhong/PDF/p1193-yang.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1965433817","https://openalex.org/W2047221353","https://openalex.org/W2069870183","https://openalex.org/W2087544865","https://openalex.org/W2097092269","https://openalex.org/W2101498401","https://openalex.org/W2110119381","https://openalex.org/W2111993661","https://openalex.org/W2112360012","https://openalex.org/W2123053055","https://openalex.org/W2130660124","https://openalex.org/W2136595724","https://openalex.org/W2141282920","https://openalex.org/W2143331230","https://openalex.org/W2147069236","https://openalex.org/W2149077040","https://openalex.org/W2153110463","https://openalex.org/W2155816211","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2416959398","https://openalex.org/W2573424097","https://openalex.org/W1595732891","https://openalex.org/W1987618107","https://openalex.org/W2031096531","https://openalex.org/W2117171064","https://openalex.org/W2731517839","https://openalex.org/W2761229199","https://openalex.org/W2154886045","https://openalex.org/W2798760230"],"abstract_inverted_index":{"Most":[0],"previous":[1],"works":[2],"treated":[3],"image":[4,24,30,38,50,63,69,75,100,132],"retrieval":[5,31],"as":[6,32,78],"a":[7,11,20,33,126],"classification":[8],"problem":[9],"or":[10],"similarity":[12],"measurement":[13],"problem.":[14],"In":[15,89],"this":[16],"paper,":[17],"we":[18,28,124],"propose":[19,125],"new":[21],"idea":[22],"for":[23,59,131],"retrieval,":[25],"in":[26,98,138],"which":[27],"regard":[29],"ranking":[34,146],"issue":[35],"by":[36,68],"evaluating":[37],"content":[39,44,64],"quality.":[40],"Based":[41,134],"on":[42,135,154],"the":[43,47,49,56,82,86,93,96,99,102,106,119,155,165,168],"preference":[45],"between":[46],"images,":[48],"pairs":[51],"are":[52,85,101,148],"organized":[53],"to":[54,91,111,118],"build":[55],"data":[57],"set":[58],"rank":[60],"learning.":[61,152],"Because":[62],"generally":[65],"is":[66,76,109,122],"disclosed":[67],"patches":[70],"with":[71,150],"meaningful":[72],"objects,":[73],"each":[74],"looked":[77],"one":[79],"bag,":[80],"and":[81,105,144,161],"regions":[83,104],"inside":[84],"corresponding":[87],"instances.":[88],"order":[90],"save":[92],"computation":[94],"cost,":[95],"instances":[97],"rectangle":[103],"integral":[107],"histogram":[108,114],"applied":[110],"speed":[112],"up":[113],"feature":[115,120],"extraction.":[116],"Due":[117],"dimension":[121],"high,":[123],"boost-based":[127],"multiple":[128,139],"instance":[129,140],"learning":[130],"retrieval.":[133],"different":[136],"assumptions":[137],"setting,":[141],"Mean,":[142],"Max":[143],"TopK":[145],"models":[147],"developed":[149],"Boost":[151],"Experiments":[153],"real-world":[156],"images":[157],"from":[158],"Flickr,":[159],"Pisca,":[160],"Google":[162],"shows":[163],"that":[164],"power":[166],"of":[167],"proposed":[169],"method.":[170]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}