{"id":"https://openalex.org/W2108354984","doi":"https://doi.org/10.1007/978-3-642-20404-3_16","title":"Effective Color Image Retrieval Based on the Gaussian Mixture Model","display_name":"Effective Color Image Retrieval Based on the Gaussian Mixture Model","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2108354984","doi":"https://doi.org/10.1007/978-3-642-20404-3_16","mag":"2108354984"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-20404-3_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-20404-3_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5019775197","display_name":"Maria \u0141uszczkiewicz-Pi\u0105tek","orcid":null},"institutions":[{"id":"https://openalex.org/I34250744","display_name":"University of \u0141\u00f3d\u017a","ror":"https://ror.org/05cq64r17","country_code":"PL","type":"education","lineage":["https://openalex.org/I34250744"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Maria Luszczkiewicz-Piatek","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, Department of Applied Computer Science, University of Lodz, Banacha 22, 90-238, Lodz, Poland","University of Lodz, Faculty of Mathematics and Computer Science, Department of Applied Computer Science, Lodz, Poland#TAB#"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Department of Applied Computer Science, University of Lodz, Banacha 22, 90-238, Lodz, Poland","institution_ids":["https://openalex.org/I34250744"]},{"raw_affiliation_string":"University of Lodz, Faculty of Mathematics and Computer Science, Department of Applied Computer Science, Lodz, Poland#TAB#","institution_ids":["https://openalex.org/I34250744"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064459980","display_name":"Bogdan Smo\u0142ka","orcid":"https://orcid.org/0000-0003-1883-3580"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Bogdan Smolka","raw_affiliation_strings":["Department of Automatic Control, Silesian University of Technology, Akademicka 16 Str, 44-100, Gliwice, Poland","Silesian University of Technology, Department of Automatic control, Gliwice, Poland#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Automatic Control, Silesian University of Technology, Akademicka 16 Str, 44-100, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]},{"raw_affiliation_string":"Silesian University of Technology, Department of Automatic control, Gliwice, Poland#TAB#","institution_ids":["https://openalex.org/I119004910"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019775197"],"corresponding_institution_ids":["https://openalex.org/I34250744"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.3875,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82371274,"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":"199","last_page":"213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"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":0.9693999886512756,"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":0.7726638317108154},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.7050487995147705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6739016771316528},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.5954242944717407},{"id":"https://openalex.org/keywords/color-normalization","display_name":"Color normalization","score":0.5859516859054565},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.5662089586257935},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5486534237861633},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5042930841445923},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.48236793279647827},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.47204503417015076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46728357672691345},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4520055651664734},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4328407347202301},{"id":"https://openalex.org/keywords/color-quantization","display_name":"Color quantization","score":0.43216872215270996},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3247975707054138},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2370586097240448}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7726638317108154},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.7050487995147705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6739016771316528},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5954242944717407},{"id":"https://openalex.org/C44404184","wikidata":"https://www.wikidata.org/wiki/Q5148620","display_name":"Color normalization","level":5,"score":0.5859516859054565},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5662089586257935},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5486534237861633},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5042930841445923},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48236793279647827},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.47204503417015076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46728357672691345},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4520055651664734},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4328407347202301},{"id":"https://openalex.org/C173752661","wikidata":"https://www.wikidata.org/wiki/Q1396414","display_name":"Color quantization","level":5,"score":0.43216872215270996},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3247975707054138},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2370586097240448},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-20404-3_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-20404-3_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W57010477","https://openalex.org/W120288896","https://openalex.org/W1486632395","https://openalex.org/W1532545203","https://openalex.org/W1978779397","https://openalex.org/W1988445395","https://openalex.org/W2039231064","https://openalex.org/W2040136013","https://openalex.org/W2049637652","https://openalex.org/W2053922829","https://openalex.org/W2065533005","https://openalex.org/W2077325236","https://openalex.org/W2092697835","https://openalex.org/W2109506130","https://openalex.org/W2109868644","https://openalex.org/W2109991658","https://openalex.org/W2111993661","https://openalex.org/W2119888932","https://openalex.org/W2122370199","https://openalex.org/W2122565612","https://openalex.org/W2125101937","https://openalex.org/W2127353419","https://openalex.org/W2129174410","https://openalex.org/W2138272997","https://openalex.org/W2146683133","https://openalex.org/W2149498267","https://openalex.org/W2154957805","https://openalex.org/W2162125010","https://openalex.org/W2163502583","https://openalex.org/W2163528306","https://openalex.org/W2308181013","https://openalex.org/W2395073638","https://openalex.org/W2403978544","https://openalex.org/W2488678869","https://openalex.org/W4302340959"],"related_works":["https://openalex.org/W1597132678","https://openalex.org/W2094705558","https://openalex.org/W1981206111","https://openalex.org/W2047344228","https://openalex.org/W2349299344","https://openalex.org/W2347655327","https://openalex.org/W2375370079","https://openalex.org/W2035513807","https://openalex.org/W3142745924","https://openalex.org/W2386200251"],"abstract_inverted_index":null,"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
