{"id":"https://openalex.org/W2939449482","doi":"https://doi.org/10.1145/3301506.3306497","title":"Similarity Detection of Color Image based on Main Color Table","display_name":"Similarity Detection of Color Image based on Main Color Table","publication_year":2018,"publication_date":"2018-12-29","ids":{"openalex":"https://openalex.org/W2939449482","doi":"https://doi.org/10.1145/3301506.3306497","mag":"2939449482"},"language":"en","primary_location":{"id":"doi:10.1145/3301506.3306497","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3301506.3306497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 2nd International Conference on Video and Image Processing","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/A5040134998","display_name":"Wenjia Ding","orcid":"https://orcid.org/0000-0001-8543-9503"},"institutions":[{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenjia Ding","raw_affiliation_strings":["Shenzhen Research Institute, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, Wuhan University, China","institution_ids":["https://openalex.org/I4210105229","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091560265","display_name":"Yi Xie","orcid":"https://orcid.org/0000-0002-6598-9097"},"institutions":[{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Xie","raw_affiliation_strings":["Shenzhen Research Institute, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, Wuhan University, China","institution_ids":["https://openalex.org/I4210105229","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089691138","display_name":"Yulin Wang","orcid":"https://orcid.org/0000-0002-3195-7978"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulin Wang","raw_affiliation_strings":["Shenzhen Research Institute, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, Wuhan University, China","institution_ids":["https://openalex.org/I4210105229","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040134998"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210105229"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20829528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"236","last_page":"239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9891999959945679,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9527999758720398,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7190097570419312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6405866742134094},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5830376148223877},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5769076943397522},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.5346848964691162},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.5151470899581909},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.4957633912563324},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48864418268203735},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39183947443962097},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2608731687068939},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.14418357610702515}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7190097570419312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6405866742134094},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5830376148223877},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5769076943397522},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5346848964691162},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5151470899581909},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.4957633912563324},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48864418268203735},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39183947443962097},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2608731687068939},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.14418357610702515}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3301506.3306497","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3301506.3306497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 2nd International Conference on Video and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1561000089","https://openalex.org/W2025010466","https://openalex.org/W2114703224","https://openalex.org/W2115652978","https://openalex.org/W2135219847","https://openalex.org/W2136915956","https://openalex.org/W2148709878","https://openalex.org/W2545701235","https://openalex.org/W6609181901"],"related_works":["https://openalex.org/W2380389211","https://openalex.org/W2506100540","https://openalex.org/W1981206111","https://openalex.org/W173496547","https://openalex.org/W2355217042","https://openalex.org/W2380673039","https://openalex.org/W2487539728","https://openalex.org/W1527405406","https://openalex.org/W2134486056","https://openalex.org/W2113600940"],"abstract_inverted_index":{"With":[0],"the":[1,36,40,44,52,58,66,70,91,110,119],"wider":[2],"use":[3],"of":[4,7,39,54,57,69,112,122],"huge":[5],"amount":[6],"images,":[8],"more":[9,15,17,102],"reasonable":[10],"retrieval":[11],"algorithms":[12],"are":[13],"becoming":[14],"and":[16,42],"important.":[18],"This":[19],"paper":[20],"proposed":[21],"an":[22],"image":[23,28,59,71,85,96,111],"similarity":[24,48,82],"detection":[25,49],"algorithm":[26,33],"for":[27],"content":[29],"based":[30],"retrieval.":[31],"The":[32],"can":[34,116],"extract":[35],"main":[37],"color":[38,95],"image,":[41],"improve":[43],"traditional":[45],"methods":[46],"in":[47,81,94],"performance.":[50],"Because":[51],"eigenvalues":[53,74],"different":[55,113,123],"regions":[56],"may":[60],"be":[61],"quite":[62],"different,":[63],"only":[64],"using":[65],"global":[67],"features":[68],"as":[72],"matching":[73],"will":[75],"lead":[76],"to":[77,108],"a":[78,101],"large":[79],"error":[80],"judgment,":[83],"so":[84],"segmentation":[86],"technology":[87,93,105],"has":[88],"always":[89],"been":[90],"key":[92],"processing.":[97],"In":[98],"this":[99],"paper,":[100],"advanced":[103],"block":[104],"is":[106],"used":[107],"segment":[109],"regions,":[114],"which":[115],"effectively":[117],"reflect":[118],"spatial":[120],"information":[121],"images.":[124]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}