{"id":"https://openalex.org/W2148915566","doi":"https://doi.org/10.1109/icme.2002.1035628","title":"A study of image retrieval by anchoring","display_name":"A study of image retrieval by anchoring","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2148915566","doi":"https://doi.org/10.1109/icme.2002.1035628","mag":"2148915566"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2002.1035628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2002.1035628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE International Conference on Multimedia and Expo","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/A5030886753","display_name":"Apostol Natsev","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Natsev","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Hawthorne, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Hawthorne, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107862891","display_name":"J. R. Smith","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.R. Smith","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Hawthorne, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Hawthorne, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210114115"],"apc_list":null,"apc_paid":null,"fwci":0.9401,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75309214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"421","last_page":"424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9955000281333923,"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":0.9837999939918518,"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/anchoring","display_name":"Anchoring","score":0.7672437429428101},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6280376315116882},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5070981979370117},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48675036430358887},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45701056718826294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45210736989974976},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42462727427482605},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1474117636680603},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.06369835138320923}],"concepts":[{"id":"https://openalex.org/C18483071","wikidata":"https://www.wikidata.org/wiki/Q168432","display_name":"Anchoring","level":2,"score":0.7672437429428101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6280376315116882},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5070981979370117},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48675036430358887},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45701056718826294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45210736989974976},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42462727427482605},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1474117636680603},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.06369835138320923}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2002.1035628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2002.1035628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1541459201","https://openalex.org/W2105788673","https://openalex.org/W2112861900","https://openalex.org/W2119603452","https://openalex.org/W2156455118","https://openalex.org/W6632397832"],"related_works":["https://openalex.org/W2396760013","https://openalex.org/W45217788","https://openalex.org/W1986902711","https://openalex.org/W2655467144","https://openalex.org/W2171776552","https://openalex.org/W2148433556","https://openalex.org/W98391849","https://openalex.org/W1600907701","https://openalex.org/W2062250142","https://openalex.org/W53120221"],"abstract_inverted_index":{"Anchoring":[0,80],"is":[1,48,81],"a":[2,11,32,37,54],"technique":[3,112],"for":[4,27,57],"representing":[5],"objects":[6],"by":[7],"their":[8],"distances":[9,35],"to":[10,36,53],"few":[12],"well":[13],"chosen":[14],"anchors,":[15],"or":[16],"vantage":[17],"points.":[18],"It":[19],"can":[20],"be":[21],"used":[22,172],"in":[23,69,94,113,133],"content-based":[24],"image":[25,29],"retrieval":[26],"computing":[28],"similarity":[30,58,67],"as":[31],"function":[33],"of":[34,40,46,77,89,141,150,166,169],"fixed":[38],"set":[39],"representative":[41],"images.":[42],"Since":[43],"the":[44,70,110,167,170],"number":[45,140],"anchors":[47],"usually":[49],"small,":[50],"this":[51,106],"leads":[52],"reduced":[55],"dimensionality":[56],"searching,":[59],"enables":[60],"efficient":[61],"indexing,":[62],"and":[63,87,102,116,124,139,147],"avoids":[64],"potentially":[65],"expensive":[66],"computations":[68],"original":[71],"feature":[72],"domain,":[73],"while":[74],"guaranteeing":[75],"lack":[76],"false":[78],"dismissals.":[79],"therefore":[82],"surprisingly":[83],"simple,":[84],"yet":[85],"effective,":[86],"flavors":[88],"it":[90],"have":[91],"seen":[92],"application":[93],"speech":[95],"recognition,":[96],"audio":[97],"classification,":[98],"protein":[99],"homology":[100],"detection,":[101],"shape":[103],"matching.":[104],"In":[105,128],"paper,":[107],"we":[108,130],"describe":[109],"anchoring":[111],"some":[114,165],"detail":[115],"study":[117],"its":[118],"properties,":[119],"both":[120],"from":[121],"an":[122,125],"empirical":[123],"analytical":[126],"standpoint.":[127],"particular,":[129],"investigate":[131],"issues":[132],"baseline":[134],"distance":[135],"selection,":[136,138],"anchor":[137,159],"anchors.":[142],"We":[143,154],"compare":[144],"different":[145,151],"approaches":[146],"evaluate":[148],"performance":[149],"parameter":[152],"settings.":[153],"also":[155],"propose":[156],"two":[157],"new":[158],"selection":[160,174],"heuristics":[161],"which":[162],"may":[163],"overcome":[164],"drawbacks":[168],"currently":[171],"greedy":[173],"methods.":[175]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
