{"id":"https://openalex.org/W2099821767","doi":"https://doi.org/10.1109/icme.2007.4284720","title":"SICO: A System for Detection of Near-Duplicate Images During Search","display_name":"SICO: A System for Detection of Near-Duplicate Images During Search","publication_year":2007,"publication_date":"2007-07-01","ids":{"openalex":"https://openalex.org/W2099821767","doi":"https://doi.org/10.1109/icme.2007.4284720","mag":"2099821767"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2007.4284720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2007.4284720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia and Expo, 2007 IEEE International Conference on","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/A5059612159","display_name":"Jun Jie Foo","orcid":null},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Jie Foo","raw_affiliation_strings":["School of Computer Science & I.T., RMIT University, Australia","[RMIT University, Melbourne]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & I.T., RMIT University, Australia","institution_ids":["https://openalex.org/I82951845"]},{"raw_affiliation_string":"[RMIT University, Melbourne]","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101502254","display_name":"Ranjan Sinha","orcid":"https://orcid.org/0000-0003-2485-8549"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ranjan Sinha","raw_affiliation_strings":["Dept. of Computer Science & Software Eng., University of Melbourne, Australia","Department of Computer Science & Software Engineering, University of Melbourne, Australia ("],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Software Eng., University of Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"Department of Computer Science & Software Engineering, University of Melbourne, Australia (","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041495909","display_name":"Justin Zobel","orcid":"https://orcid.org/0000-0001-6622-032X"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Justin Zobel","raw_affiliation_strings":["School of Computer Science & I.T., RMIT University, Australia","[RMIT University, Melbourne]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & I.T., RMIT University, Australia","institution_ids":["https://openalex.org/I82951845"]},{"raw_affiliation_string":"[RMIT University, Melbourne]","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7893,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.69169473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"595","last_page":"598"},"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":0.9986000061035156,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9879000186920166,"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":0.795177698135376},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.685302734375},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5099104642868042},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.508735716342926},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49968934059143066},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4913605749607086},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.4837813079357147},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.4743023216724396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4572780132293701},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4426969587802887},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23876279592514038},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0762677788734436}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.795177698135376},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.685302734375},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5099104642868042},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.508735716342926},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49968934059143066},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4913605749607086},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.4837813079357147},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.4743023216724396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4572780132293701},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4426969587802887},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23876279592514038},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0762677788734436},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2007.4284720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2007.4284720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia and Expo, 2007 IEEE International Conference on","raw_type":"proceedings-article"},{"id":"pmh:oai:jupiter.its.unimelb.edu.au:11343/31990","is_oa":false,"landing_page_url":"http://hdl.handle.net/11343/31990","pdf_url":null,"source":{"id":"https://openalex.org/S4377196259","display_name":"Minerva Access (University of Melbourne)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165779595","host_organization_name":"The University of Melbourne","host_organization_lineage":["https://openalex.org/I165779595"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Multimedia and Expo (ICME 2007)","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W1515236863","https://openalex.org/W1536700701","https://openalex.org/W1967666795","https://openalex.org/W2055289292","https://openalex.org/W2106485656","https://openalex.org/W2124330204","https://openalex.org/W2129116707","https://openalex.org/W2130910507","https://openalex.org/W2132139375","https://openalex.org/W2145072179","https://openalex.org/W2151103935","https://openalex.org/W6629956336","https://openalex.org/W6630928122","https://openalex.org/W6631975230","https://openalex.org/W6664039387","https://openalex.org/W6679767388","https://openalex.org/W6681554747"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W2087391438","https://openalex.org/W1966831329","https://openalex.org/W2617958085","https://openalex.org/W2786939550","https://openalex.org/W2586799187"],"abstract_inverted_index":{"Duplicate":[0],"and":[1,19,63,74],"near-duplicate":[2,32,65,86],"digital":[3,16],"image":[4,9,33,48],"matching":[5],"is":[6,71],"beneficial":[7],"for":[8,31,95,102],"search":[10,20,49],"in":[11,42,51,91],"terms":[12],"of":[13,85,98],"collection":[14],"management,":[15],"content":[17],"protection,":[18],"efficiency.":[21],"In":[22],"this":[23],"paper,":[24],"we":[25],"introduce":[26],"SICO,":[27],"a":[28,77],"novel":[29],"system":[30],"detection":[34,68],"during":[35],"web":[36],"search.":[37],"It":[38],"accurately":[39],"detects":[40],"near-duplicates":[41],"the":[43],"answers":[44],"returned":[45,100],"by":[46],"commercial":[47],"engines":[50],"real-time.":[52],"We":[53],"show":[54],"that":[55],"SICO":[56,82],"-":[57,70],"which":[58],"utilizes":[59],"PCA-SIFT":[60],"local":[61],"descriptors":[62],"adapts":[64],"text":[66],"document":[67],"techniques":[69],"both":[72],"effective":[73],"efficient.":[75],"On":[76],"standard":[78],"desktop":[79],"personal":[80],"computer,":[81],"identifies":[83],"clusters":[84],"images":[87,101],"with":[88],"93%":[89],"accuracy":[90],"under":[92],"30":[93],"seconds,":[94],"an":[96],"average":[97],"622":[99],"each":[103],"query.":[104]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}