{"id":"https://openalex.org/W2019327290","doi":"https://doi.org/10.1145/1631058.1631075","title":"An efficient key point quantization algorithm for large scale image retrieval","display_name":"An efficient key point quantization algorithm for large scale image retrieval","publication_year":2009,"publication_date":"2009-10-23","ids":{"openalex":"https://openalex.org/W2019327290","doi":"https://doi.org/10.1145/1631058.1631075","mag":"2019327290"},"language":"en","primary_location":{"id":"doi:10.1145/1631058.1631075","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1631058.1631075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining","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/A5089152805","display_name":"Fengjie Li","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fengjie Li","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070954480","display_name":"Wei Tong","orcid":"https://orcid.org/0000-0002-8558-1822"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Tong","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069394608","display_name":"Rong Jin","orcid":"https://orcid.org/0000-0002-8797-4646"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rong Jin","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613677","display_name":"Anil K. Jain","orcid":"https://orcid.org/0000-0002-6369-6995"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anil K. Jain","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100456877","display_name":"Jungeun Lee","orcid":"https://orcid.org/0000-0002-3957-3469"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jung-Eun Lee","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87216513"],"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":"89","last_page":"96"},"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":1.0,"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":1.0,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9976999759674072,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7604131698608398},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6739135980606079},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6451934576034546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6293686628341675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.580086350440979},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.5446277856826782},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5342957377433777},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.5140434503555298},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5064388513565063},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4485699236392975},{"id":"https://openalex.org/keywords/bag-of-words-model-in-computer-vision","display_name":"Bag-of-words model in computer vision","score":0.4456240236759186},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36893266439437866},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34006667137145996}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7604131698608398},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6739135980606079},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6451934576034546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6293686628341675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.580086350440979},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.5446277856826782},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5342957377433777},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.5140434503555298},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5064388513565063},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4485699236392975},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.4456240236759186},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36893266439437866},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34006667137145996},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1631058.1631075","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1631058.1631075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.152.6958","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.6958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://biometrics.cse.msu.edu/Publications/SoftBiometrics/Lietal_BallQuant_ACMMM09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W95284390","https://openalex.org/W146900863","https://openalex.org/W165232734","https://openalex.org/W1491105865","https://openalex.org/W1625255723","https://openalex.org/W1627400044","https://openalex.org/W2029785729","https://openalex.org/W2055289292","https://openalex.org/W2055906546","https://openalex.org/W2062692054","https://openalex.org/W2098770944","https://openalex.org/W2099253838","https://openalex.org/W2102773363","https://openalex.org/W2103012681","https://openalex.org/W2114942327","https://openalex.org/W2117074709","https://openalex.org/W2117138194","https://openalex.org/W2128017662","https://openalex.org/W2131296063","https://openalex.org/W2131846894","https://openalex.org/W2134692386","https://openalex.org/W2141362318","https://openalex.org/W2151103935","https://openalex.org/W2157041524","https://openalex.org/W2159727956","https://openalex.org/W2162006472","https://openalex.org/W2167853719","https://openalex.org/W2170605888","https://openalex.org/W2435338979","https://openalex.org/W2799061466","https://openalex.org/W3005890292","https://openalex.org/W3016208987","https://openalex.org/W3160851792","https://openalex.org/W4233413206","https://openalex.org/W4244494905","https://openalex.org/W6628905179","https://openalex.org/W6636494156","https://openalex.org/W6683120118","https://openalex.org/W7014191107"],"related_works":["https://openalex.org/W2401094681","https://openalex.org/W2003020068","https://openalex.org/W3190424778","https://openalex.org/W3212974055","https://openalex.org/W2901148276","https://openalex.org/W2599945133","https://openalex.org/W2729514902","https://openalex.org/W2889366376","https://openalex.org/W2392271692","https://openalex.org/W2586406692"],"abstract_inverted_index":{"We":[0,118],"focus":[1],"on":[2,111,159],"the":[3,43,85,112,115,134],"problem":[4],"of":[5,73,84,97,102,114,132,148],"large-scale":[6],"near":[7,28],"duplicate":[8,29],"image":[9,17,30,40,69],"retrieval.":[10,31],"Recent":[11],"studies":[12],"have":[13],"shown":[14],"that":[15,59,127],"local":[16],"features,":[18],"often":[19],"referred":[20],"to":[21,52,94],"as":[22],"key":[23,37,50,98,124,139],"points,":[24],"are":[25,80],"effective":[26],"for":[27,36,123],"The":[32],"most":[33],"popular":[34],"approach":[35],"point":[38,51,125,140],"based":[39,158],"matching":[41],"is":[42,60,91,107,156],"clustering-based":[44,86],"bag-of-words":[45,87,116,154],"model.":[46,117],"It":[47],"maps":[48],"each":[49,68,138],"a":[53,57,63,71,120,142,146,153],"visual":[54,74,103],"word":[55],"in":[56],"code-book":[58],"constructed":[61,157],"by":[62,70],"clustering":[64],"algorithm,":[65],"and":[66,152],"represents":[67],"histogram":[72],"words.":[75],"Despite":[76],"its":[77],"success,":[78],"there":[79,106],"two":[81],"main":[82],"shortcomings":[83],"model:":[88],"(i)":[89],"it":[90],"computationally":[92],"expensive":[93],"cluster":[95],"millions":[96],"points":[99],"into":[100,141],"thousands":[101],"words;":[104],"(ii)":[105],"no":[108],"theoretical":[109],"analysis":[110],"performance":[113],"propose":[119],"new":[121],"scheme":[122,136],"quantization":[126],"addresses":[128],"these":[129],"shortcomings.":[130],"Instead":[131],"clustering,":[133],"proposed":[135],"quantizes":[137],"binary":[143],"vector":[144],"using":[145],"collection":[147],"randomly":[149],"generated":[150],"hyper-spheres,":[151],"model":[155],"such":[160],"randomized":[161],"quantization.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2012,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}