{"id":"https://openalex.org/W2138652032","doi":"https://doi.org/10.1145/1873951.1874172","title":"Interactive visual object search through mutual information maximization","display_name":"Interactive visual object search through mutual information maximization","publication_year":2010,"publication_date":"2010-10-25","ids":{"openalex":"https://openalex.org/W2138652032","doi":"https://doi.org/10.1145/1873951.1874172","mag":"2138652032"},"language":"en","primary_location":{"id":"doi:10.1145/1873951.1874172","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1873951.1874172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th 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/A5055403026","display_name":"Jingjing Meng","orcid":"https://orcid.org/0000-0001-9776-4805"},"institutions":[{"id":"https://openalex.org/I1333370159","display_name":"Motorola (United States)","ror":"https://ror.org/01hafxd32","country_code":"US","type":"company","lineage":["https://openalex.org/I1333370159"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jingjing Meng","raw_affiliation_strings":["Motorola, Inc. / Nanyang Technological University, Schaumburg, IL, USA"],"affiliations":[{"raw_affiliation_string":"Motorola, Inc. / Nanyang Technological University, Schaumburg, IL, USA","institution_ids":["https://openalex.org/I1333370159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085245110","display_name":"Junsong Yuan","orcid":"https://orcid.org/0000-0002-7901-8793"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Junsong Yuan","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore","Nanyang Technological University, Singapore, SINGAPORE#TAB#"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore, SINGAPORE#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101909498","display_name":"Yuning Jiang","orcid":"https://orcid.org/0000-0003-4791-8452"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yuning Jiang","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore","Nanyang Technological University, Singapore, SINGAPORE#TAB#"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore, SINGAPORE#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110270970","display_name":"Nitya Narasimhan","orcid":null},"institutions":[{"id":"https://openalex.org/I1333370159","display_name":"Motorola (United States)","ror":"https://ror.org/01hafxd32","country_code":"US","type":"company","lineage":["https://openalex.org/I1333370159"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nitya Narasimhan","raw_affiliation_strings":["Motorola, Inc., Schaumburg, IL, USA"],"affiliations":[{"raw_affiliation_string":"Motorola, Inc., Schaumburg, IL, USA","institution_ids":["https://openalex.org/I1333370159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109041288","display_name":"Venu Vasudevan","orcid":null},"institutions":[{"id":"https://openalex.org/I1333370159","display_name":"Motorola (United States)","ror":"https://ror.org/01hafxd32","country_code":"US","type":"company","lineage":["https://openalex.org/I1333370159"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Venu Vasudevan","raw_affiliation_strings":["Motorola, Inc., Schaumburg, IL, USA"],"affiliations":[{"raw_affiliation_string":"Motorola, Inc., Schaumburg, IL, USA","institution_ids":["https://openalex.org/I1333370159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101780958","display_name":"Ying Wu","orcid":"https://orcid.org/0009-0001-6768-5118"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ying Wu","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5055403026"],"corresponding_institution_ids":["https://openalex.org/I1333370159"],"apc_list":null,"apc_paid":null,"fwci":3.5557,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.93607708,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1147","last_page":"1150"},"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":0.9973999857902527,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9904000163078308,"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":0.7585685849189758},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7055944800376892},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7040196657180786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5981473922729492},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5929230451583862},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5850735902786255},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5461437106132507},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5151716470718384},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4425339102745056},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.41360437870025635},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4132341146469116},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40811917185783386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15297380089759827}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7585685849189758},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7055944800376892},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7040196657180786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5981473922729492},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5929230451583862},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5850735902786255},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5461437106132507},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5151716470718384},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4425339102745056},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41360437870025635},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4132341146469116},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40811917185783386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15297380089759827},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1873951.1874172","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1873951.1874172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.894.5502","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.894.5502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://eeeweba.ntu.edu.sg/computervision/Research%20Papers/2010/Interactive%20Visual%20Object%20Search%20through%20Mutual%20Information%20Maximization.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7699999809265137,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2031039904","https://openalex.org/W2060621769","https://openalex.org/W2104929264","https://openalex.org/W2113201641","https://openalex.org/W2131846894","https://openalex.org/W2151103935","https://openalex.org/W2153038208","https://openalex.org/W2162006472","https://openalex.org/W2162451865","https://openalex.org/W2166742463","https://openalex.org/W2177274842","https://openalex.org/W2538333829"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W2785601041","https://openalex.org/W2241417046","https://openalex.org/W2908598672","https://openalex.org/W2597403208","https://openalex.org/W4307206503","https://openalex.org/W2393900892","https://openalex.org/W4306760398"],"abstract_inverted_index":{"Searching":[0],"for":[1,94],"small":[2,52],"objects":[3,20],"(e.g.,":[4],"logos)":[5],"in":[6,30,54],"images":[7,135],"is":[8,79],"a":[9,82,98,129],"critical":[10],"yet":[11],"challenging":[12,130],"problem.":[13],"It":[14],"becomes":[15],"more":[16],"difficult":[17],"when":[18],"target":[19],"differ":[21],"significantly":[22],"from":[23],"the":[24,44,51,55,59,63,69,74,91,109,117,122,137],"query":[25,75,92],"object":[26,53,60,93],"due":[27],"to":[28,36,46,107],"changes":[29],"scale,":[31],"viewpoint":[32],"or":[33,40],"style,":[34],"not":[35],"mention":[37],"partial":[38],"occlusion":[39],"cluttered":[41],"backgrounds.":[42],"With":[43],"goal":[45],"retrieve":[47],"and":[48,104,120],"accurately":[49],"locate":[50],"images,":[56],"we":[57,96],"formulate":[58],"search":[61,123],"as":[62],"problem":[64],"of":[65,84,88,133,139],"finding":[66],"subimages":[67,119],"with":[68],"largest":[70],"mutual":[71,110],"information":[72,111],"toward":[73],"object.":[76],"Each":[77],"image":[78],"characterized":[80],"by":[81],"collection":[83],"local":[85],"features.":[86],"Instead":[87],"only":[89],"using":[90,101],"matching,":[95],"propose":[97],"discriminative":[99],"matching":[100],"both":[102],"positive":[103],"negative":[105],"queries":[106],"obtain":[108],"score.":[112],"The":[113],"user":[114],"can":[115],"verify":[116],"retrieved":[118],"improve":[121],"results":[124],"incrementally.":[125],"Our":[126],"experiments":[127],"on":[128],"logo":[131],"database":[132],"10,000":[134],"highlight":[136],"effectiveness":[138],"this":[140],"approach.":[141]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":6}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}