{"id":"https://openalex.org/W1988464567","doi":"https://doi.org/10.1145/1631272.1631392","title":"Fast near duplicate detection for personal image collections","display_name":"Fast near duplicate detection for personal image collections","publication_year":2009,"publication_date":"2009-10-19","ids":{"openalex":"https://openalex.org/W1988464567","doi":"https://doi.org/10.1145/1631272.1631392","mag":"1988464567"},"language":"en","primary_location":{"id":"doi:10.1145/1631272.1631392","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1631272.1631392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM international conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5104073298","display_name":"Feng Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Tang","raw_affiliation_strings":["Hewlett-Packard , Palo Alto, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hewlett-Packard , Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102148168","display_name":"Yuli Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuli Gao","raw_affiliation_strings":["Hewlett-Packard, Palo Alto, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hewlett-Packard, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1324840837"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"701","last_page":"704"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9970999956130981,"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":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.8198526501655579},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7748932838439941},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6559535264968872},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6211560964584351},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6139465570449829},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5719587802886963},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5325110554695129},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.530133843421936},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5223554372787476},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.49448537826538086},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.4836326837539673},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40753212571144104},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3347504138946533},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2841145396232605},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13421207666397095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07289436459541321},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06597486138343811}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8198526501655579},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7748932838439941},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6559535264968872},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6211560964584351},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6139465570449829},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5719587802886963},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5325110554695129},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.530133843421936},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5223554372787476},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.49448537826538086},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.4836326837539673},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40753212571144104},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3347504138946533},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2841145396232605},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13421207666397095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07289436459541321},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06597486138343811},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1631272.1631392","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1631272.1631392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1967666795","https://openalex.org/W1980911747","https://openalex.org/W2044139120","https://openalex.org/W2055289292","https://openalex.org/W2110248009","https://openalex.org/W2129155776","https://openalex.org/W2130910507","https://openalex.org/W2143668817","https://openalex.org/W2147356371","https://openalex.org/W2151103935","https://openalex.org/W2162659160","https://openalex.org/W2164598857","https://openalex.org/W3160851792"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W2060986072","https://openalex.org/W4379791551","https://openalex.org/W1997438849","https://openalex.org/W2980144549","https://openalex.org/W3106568383","https://openalex.org/W2507491343","https://openalex.org/W1780126258","https://openalex.org/W4210656569"],"abstract_inverted_index":{"Due":[0],"to":[1,83,111],"the":[2,48,109],"rapid":[3],"growth":[4],"in":[5,132],"personal":[6],"image":[7,41],"collections,":[8],"there":[9],"is":[10],"increasing":[11],"interest":[12],"on":[13,88],"automatic":[14],"detection":[15,29],"of":[16,34,50,65,134],"near":[17,27],"duplicates.":[18],"In":[19,75],"this":[20],"paper,":[21],"we":[22,54,77],"propose":[23],"a":[24,57,66,79],"novel":[25],"fast":[26],"duplicate":[28],"framework":[30,82],"that":[31,61],"takes":[32,62],"advantages":[33],"heterogeneous":[35],"features":[36,107],"like":[37],"EXIF":[38],"data,":[39],"global":[40],"histogram":[42],"and":[43,137],"local":[44,51,67],"features.":[45],"To":[46],"improve":[47],"accuracy":[49],"feature":[52,90],"matching,":[53],"have":[55],"developed":[56,78],"structure":[58],"matching":[59],"algorithm":[60],"into":[63],"account":[64],"feature's":[68],"neighborhood":[69],"which":[70],"can":[71,98],"effectively":[72],"reject":[73],"mismatches.":[74],"addition,":[76],"computation-sensitive":[80],"cascade":[81],"combine":[84],"stage":[85],"classifiers":[86],"trained":[87],"different":[89,93],"spaces":[91],"with":[92,119],"computational":[94],"cost.":[95],"This":[96],"method":[97],"quickly":[99],"accept":[100],"easily":[101],"identified":[102],"duplicates":[103],"using":[104,128],"only":[105],"cheap":[106],"without":[108],"need":[110],"extract":[112],"more":[113],"sophisticate":[114],"but":[115],"expensive":[116],"ones.":[117],"Compared":[118],"existing":[120],"approaches,":[121],"our":[122,129],"experiments":[123],"show":[124],"very":[125],"promising":[126],"results":[127],"new":[130],"approach":[131],"terms":[133],"both":[135],"efficiency":[136],"effectiveness.":[138]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
