{"id":"https://openalex.org/W2086898388","doi":"https://doi.org/10.1145/2036264.2036276","title":"Interactive Image Search by Color Map","display_name":"Interactive Image Search by Color Map","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2086898388","doi":"https://doi.org/10.1145/2036264.2036276","mag":"2086898388"},"language":"en","primary_location":{"id":"doi:10.1145/2036264.2036276","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2036264.2036276","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-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/A5075880303","display_name":"Jingdong Wang","orcid":"https://orcid.org/0000-0002-4888-4445"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingdong Wang","raw_affiliation_strings":["Microsoft Research Asia","Microsoft Research Asia,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft Research Asia,","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024965898","display_name":"Xian\u2010Sheng Hua","orcid":"https://orcid.org/0000-0002-8232-5049"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian-Sheng Hua","raw_affiliation_strings":["Microsoft Research Asia","Microsoft Research Asia,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft Research Asia,","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210113369"],"apc_list":null,"apc_paid":null,"fwci":4.8919,"has_fulltext":false,"cited_by_count":82,"citation_normalized_percentile":{"value":0.96080491,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"3","issue":"1","first_page":"1","last_page":"23"},"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval 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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9995999932289124,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9639000296592712,"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":0.8727144002914429},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.6381154656410217},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.633750319480896},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5756301879882812},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5744679570198059},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.5680232048034668},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5587981939315796},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4826679527759552},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47449564933776855},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.471064031124115},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.44143927097320557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4191579818725586},{"id":"https://openalex.org/keywords/web-crawler","display_name":"Web crawler","score":0.4110676944255829},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20805418491363525}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8727144002914429},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.6381154656410217},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.633750319480896},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5756301879882812},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5744679570198059},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.5680232048034668},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5587981939315796},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4826679527759552},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47449564933776855},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.471064031124115},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.44143927097320557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4191579818725586},{"id":"https://openalex.org/C13743948","wikidata":"https://www.wikidata.org/wiki/Q45842","display_name":"Web crawler","level":2,"score":0.4110676944255829},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20805418491363525},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2036264.2036276","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2036264.2036276","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.690.227","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.690.227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/en-us/um/people/jingdw/searchbycolorsketch/..%5Cpubs%5CTIST12-ColorSketch.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1608543663","https://openalex.org/W1964721205","https://openalex.org/W1972635511","https://openalex.org/W1978613449","https://openalex.org/W2003635569","https://openalex.org/W2007972815","https://openalex.org/W2011549082","https://openalex.org/W2015398901","https://openalex.org/W2026019603","https://openalex.org/W2031476339","https://openalex.org/W2032068197","https://openalex.org/W2037953097","https://openalex.org/W2062125742","https://openalex.org/W2068272887","https://openalex.org/W2081383548","https://openalex.org/W2082453965","https://openalex.org/W2091503252","https://openalex.org/W2095860585","https://openalex.org/W2097276452","https://openalex.org/W2101633987","https://openalex.org/W2108598243","https://openalex.org/W2110807182","https://openalex.org/W2111993661","https://openalex.org/W2117908737","https://openalex.org/W2124332348","https://openalex.org/W2130660124","https://openalex.org/W2137758646","https://openalex.org/W2144679084","https://openalex.org/W2147069236","https://openalex.org/W2162915993","https://openalex.org/W2164316782"],"related_works":["https://openalex.org/W2378994405","https://openalex.org/W2385974820","https://openalex.org/W2373478030","https://openalex.org/W2378679551","https://openalex.org/W3149739944","https://openalex.org/W2392363776","https://openalex.org/W2063051341","https://openalex.org/W2185495922","https://openalex.org/W2746783359","https://openalex.org/W4362706942"],"abstract_inverted_index":{"The":[0,186],"availability":[1],"of":[2,18,110],"large-scale":[3],"images":[4,128],"from":[5,44,150],"the":[6,10,32,86,92,119,146,151,156],"Internet":[7],"has":[8],"made":[9],"research":[11],"on":[12,130],"image":[13,21,28,49,58,61,77,104,122,174,184],"search":[14,22,29,48,59,62,148,175],"attract":[15],"a":[16,97,107,139],"lot":[17],"attention.":[19],"Text-based":[20],"engines,":[23],"for":[24],"example,":[25],"Google/Microsoft":[26],"Bing/Yahoo!":[27],"engines":[30,176],"using":[31],"surrounding":[33],"text,":[34],"have":[35],"been":[36],"developed":[37],"and":[38,105,135,154],"widely":[39],"used.":[40],"However,":[41],"they":[42],"suffer":[43],"an":[45,56,103,113],"inability":[46],"to":[47,83,118,144,161,171,177],"content.":[50],"In":[51,116],"this":[52],"article,":[53],"we":[54],"present":[55],"interactive":[57],"system,":[60],"by":[63,95],"color":[64,99,158],"map,":[65],"which":[66],"can":[67,193],"be":[68],"applied":[69],"to,":[70,74],"but":[71,141],"not":[72],"limited":[73],"enhance":[75],"text-based":[76,183],"search.":[78,185],"This":[79],"system":[80,126,164,170,192],"enables":[81],"users":[82,196],"indicate":[84],"how":[85],"colors":[87,131],"are":[88],"spatially":[89],"distributed":[90],"in":[91,112],"desired":[93,199],"images,":[94],"scribbling":[96],"few":[98,108],"strokes,":[100],"or":[101],"dragging":[102],"highlighting":[106],"regions":[109],"interest":[111],"intuitive":[114],"way.":[115],"contrast":[117],"conventional":[120],"sketch-based":[121],"retrieval":[123],"techniques,":[124],"our":[125,163,169,191],"searches":[127],"based":[129],"rather":[132],"than":[133],"shapes,":[134],"we,":[136],"technically,":[137],"propose":[138],"simple":[140],"effective":[142],"scheme":[143],"mine":[145],"latent":[147],"intention":[149],"user\u2019s":[152],"input,":[153],"exploit":[155],"dominant":[157],"filter":[159],"strategy":[160],"make":[162],"more":[165],"efficient.":[166],"We":[167],"integrate":[168],"existing":[172],"Web":[173],"demonstrate":[178],"its":[179],"superior":[180],"performance":[181],"over":[182],"user":[187],"study":[188],"shows":[189],"that":[190],"indeed":[194],"help":[195],"conveniently":[197],"find":[198],"images.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":25},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":6}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
