{"id":"https://openalex.org/W2139959225","doi":"https://doi.org/10.1109/cira.2009.5423151","title":"A statistical image retrieval method using color invariant","display_name":"A statistical image retrieval method using color invariant","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2139959225","doi":"https://doi.org/10.1109/cira.2009.5423151","mag":"2139959225"},"language":"en","primary_location":{"id":"doi:10.1109/cira.2009.5423151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cira.2009.5423151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation - (CIRA)","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/A5100625873","display_name":"Cheng Jin","orcid":"https://orcid.org/0000-0003-3063-1957"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheng Jin","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China 200240#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China 200240#TAB#","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100625873"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"521","last_page":"525"},"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":0.9993000030517578,"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":0.972000002861023,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7865589261054993},{"id":"https://openalex.org/keywords/color-quantization","display_name":"Color quantization","score":0.7496598362922668},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.6972746253013611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6641826033592224},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.5923985838890076},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5673097968101501},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5620173215866089},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.5596294403076172},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.5509448051452637},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5245544910430908},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4428884983062744},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4343673586845398},{"id":"https://openalex.org/keywords/color-normalization","display_name":"Color normalization","score":0.4215267300605774},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29417139291763306},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2253202199935913}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7865589261054993},{"id":"https://openalex.org/C173752661","wikidata":"https://www.wikidata.org/wiki/Q1396414","display_name":"Color quantization","level":5,"score":0.7496598362922668},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.6972746253013611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6641826033592224},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.5923985838890076},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5673097968101501},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5620173215866089},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5596294403076172},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.5509448051452637},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5245544910430908},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4428884983062744},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4343673586845398},{"id":"https://openalex.org/C44404184","wikidata":"https://www.wikidata.org/wiki/Q5148620","display_name":"Color normalization","level":5,"score":0.4215267300605774},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29417139291763306},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2253202199935913},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cira.2009.5423151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cira.2009.5423151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation - (CIRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1654865708","https://openalex.org/W1917380066","https://openalex.org/W1940891071","https://openalex.org/W1978597204","https://openalex.org/W1993959163","https://openalex.org/W1998334300","https://openalex.org/W2024581784","https://openalex.org/W2070988824","https://openalex.org/W2080928936","https://openalex.org/W2098749147","https://openalex.org/W2099104351","https://openalex.org/W2099808581","https://openalex.org/W2105568170","https://openalex.org/W2110249778","https://openalex.org/W2111048828","https://openalex.org/W2122882167","https://openalex.org/W2140345984","https://openalex.org/W2141782206","https://openalex.org/W2142503298","https://openalex.org/W2151167738","https://openalex.org/W2153452107","https://openalex.org/W2153591235","https://openalex.org/W2160477239","https://openalex.org/W2296249689","https://openalex.org/W2539069916","https://openalex.org/W2914885528"],"related_works":["https://openalex.org/W2734928352","https://openalex.org/W1964628873","https://openalex.org/W2120904863","https://openalex.org/W1516843231","https://openalex.org/W2091106311","https://openalex.org/W2094705558","https://openalex.org/W2589042415","https://openalex.org/W1981206111","https://openalex.org/W2143500108","https://openalex.org/W2117507819"],"abstract_inverted_index":{"Content":[0],"based":[1,16,47,194],"image":[2,10,34,67,129,157,165],"retrieval":[3],"is":[4,29,49,62,86,117,143,152,167],"an":[5,83,132,164],"essential":[6],"task":[7],"in":[8,23,37,88],"many":[9],"processing":[11],"applications,":[12],"among":[13],"which,":[14],"color":[15,27,46,61,94,115,141,159,180],"methods":[17,48,72],"have":[18],"been":[19],"receiving":[20],"constant":[21],"attentions":[22],"past":[24],"years,":[25],"because":[26],"information":[28,99],"a":[30,191,196],"discriminative":[31],"descriptor":[32,166],"for":[33,52,145,169],"retrieval,":[35],"especially":[36],"case":[38],"of":[39,44,69,100,108,113,127,140,176,213],"large":[40,75],"database.":[41],"A":[42],"limitation":[43],"previous":[45,104],"their":[50],"unsuitability":[51],"retrieving":[53],"similar":[54,186],"scenes":[55],"under":[56,173],"varying":[57],"lighting":[58],"conditions":[59],"as":[60],"sensitive":[63],"to":[64,154],"illuminations.":[65],"Besides":[66],"descriptors":[68],"some":[70,97],"existing":[71],"are":[73,188],"with":[74,96,190],"dimensionality":[76],"and":[77,160,208,215],"thus":[78],"computational":[79],"expensive.":[80],"As":[81],"betterment,":[82],"adaptive":[84,133],"method":[85,204],"proposed":[87],"this":[89,203],"paper,":[90],"which":[91],"integrates":[92],"the":[93,106,111,114,125,128,148,156,174,177,211],"invariant":[95],"spatial":[98,161],"images.":[101,146],"Different":[102],"from":[103],"work,":[105],"number":[107],"states":[109],"during":[110],"quantization":[112],"space":[116],"not":[118,172],"manually":[119],"determined.":[120],"Instead,":[121],"it":[122],"depends":[123],"on":[124,195],"context":[126],"itself,":[130],"using":[131],"clustering":[134],"technique:":[135],"Firstly,":[136],"feature":[137],"map":[138],"consisting":[139],"invariants":[142],"established":[144],"Secondly,":[147],"Markov":[149],"chain":[150],"model":[151],"employed":[153],"capture":[155],"both":[158],"information.":[162],"Thirdly,":[163],"computed":[168],"each":[170],"image,":[171],"frame":[175],"entire":[178],"fixed":[179],"space.":[181],"To":[182],"practice":[183],"our":[184],"method,":[185],"images":[187],"retrieved":[189],"similarity":[192],"measure":[193],"two-stage":[197],"weighted":[198],"distance.":[199],"Experiments":[200],"show":[201],"that,":[202],"has":[205],"improved":[206],"simplicity":[207],"compactness":[209],"without":[210],"lost":[212],"efficiency":[214],"robustness.":[216]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}