{"id":"https://openalex.org/W1493331862","doi":"https://doi.org/10.1109/tip.2015.2465169","title":"Multi-Spectral Fusion Based Approach for Arbitrarily Oriented Scene Text Detection in Video Images","display_name":"Multi-Spectral Fusion Based Approach for Arbitrarily Oriented Scene Text Detection in Video Images","publication_year":2015,"publication_date":"2015-08-12","ids":{"openalex":"https://openalex.org/W1493331862","doi":"https://doi.org/10.1109/tip.2015.2465169","mag":"1493331862","pmid":"https://pubmed.ncbi.nlm.nih.gov/26259083"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2015.2465169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2465169","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5025163100","display_name":"Guozhu Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guozhu Liang","raw_affiliation_strings":["National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","[National Key Laboratory for Novel Software Technology Nanjing University, Nanjing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"[National Key Laboratory for Novel Software Technology Nanjing University, Nanjing, China]","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025871978","display_name":"Palaiahnakote Shivakumara","orcid":"https://orcid.org/0000-0001-9026-4613"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Palaiahnakote Shivakumara","raw_affiliation_strings":["Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia","Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]},{"raw_affiliation_string":"Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061696740","display_name":"Tong L\u00fc","orcid":"https://orcid.org/0000-0002-7051-5347"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Lu","raw_affiliation_strings":["National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","[National Key Laboratory for Novel Software Technology Nanjing University, Nanjing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"[National Key Laboratory for Novel Software Technology Nanjing University, Nanjing, China]","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111664929","display_name":"Chew Lim Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chew Lim Tan","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5918,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.9648015,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"24","issue":"11","first_page":"4488","last_page":"4501"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9869999885559082,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9869999885559082,"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":0.0017000000225380063,"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":0.00139999995008111,"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":0.7673026919364929},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7053208351135254},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6195119619369507},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6104777455329895},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5055532455444336},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4368636906147003},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.42193394899368286},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4218416213989258}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7673026919364929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7053208351135254},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6195119619369507},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6104777455329895},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5055532455444336},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4368636906147003},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.42193394899368286},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4218416213989258},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2015.2465169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2465169","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:26259083","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26259083","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G6667581590","display_name":null,"funder_award_id":"61321491","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7096580020","display_name":"\u57fa\u4e8e\u89c6\u89c9\u8bed\u4e49\u63a8\u7406\u4e0e\u4e0a\u4e0b\u6587\u7ea6\u675f\u5efa\u6a21\u7684\u573a\u666f\u7406\u89e3\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61272218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1967791439","https://openalex.org/W1971822075","https://openalex.org/W1972065312","https://openalex.org/W1978854150","https://openalex.org/W1979099327","https://openalex.org/W1988461287","https://openalex.org/W1998384060","https://openalex.org/W1999284580","https://openalex.org/W2001297828","https://openalex.org/W2006408850","https://openalex.org/W2008806374","https://openalex.org/W2010380423","https://openalex.org/W2010747361","https://openalex.org/W2014286161","https://openalex.org/W2024959534","https://openalex.org/W2027883219","https://openalex.org/W2031286805","https://openalex.org/W2034570777","https://openalex.org/W2043276786","https://openalex.org/W2059320889","https://openalex.org/W2061802763","https://openalex.org/W2063872165","https://openalex.org/W2065408997","https://openalex.org/W2065613686","https://openalex.org/W2077981805","https://openalex.org/W2078997308","https://openalex.org/W2083442372","https://openalex.org/W2084465724","https://openalex.org/W2099063119","https://openalex.org/W2104946622","https://openalex.org/W2117586922","https://openalex.org/W2123827229","https://openalex.org/W2131447359","https://openalex.org/W2131673214","https://openalex.org/W2134378185","https://openalex.org/W2142159465","https://openalex.org/W2145020494","https://openalex.org/W2148214126","https://openalex.org/W2160197540","https://openalex.org/W6642972425","https://openalex.org/W6671703822","https://openalex.org/W6679774445"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W2149757685","https://openalex.org/W2062957446","https://openalex.org/W2166213322","https://openalex.org/W2147397890","https://openalex.org/W2155880659"],"abstract_inverted_index":{"Scene":[0],"text":[1,20,66,81,97,114,130],"detection":[2],"from":[3,72],"video":[4,138],"as":[5,7,140,142,148],"well":[6,141],"natural":[8],"scene":[9],"images":[10],"is":[11,101,163],"challenging":[12],"due":[13],"to":[14,39,155,169,173],"the":[15,40,59,69,105,108,118,157,166,174],"variations":[16],"in":[17,58],"background,":[18],"contrast,":[19],"type,":[21,23],"font":[22,24],"size,":[25],"and":[26,153],"so":[27],"on.":[28],"Besides,":[29],"arbitrary":[30],"orientations":[31],"of":[32,49,112],"texts":[33],"with":[34,52,90,165],"multi-scripts":[35],"add":[36],"more":[37],"complexity":[38],"problem.":[41],"The":[42,160],"proposed":[43,158,161],"approach":[44,119,162],"introduces":[45],"a":[46,121],"new":[47,122],"idea":[48],"convolving":[50],"Laplacian":[51],"wavelet":[53],"sub-bands":[54,74],"at":[55],"different":[56,73],"levels":[57],"frequency":[60],"domain":[61],"for":[62,78,94,127],"enhancing":[63],"low":[64],"resolution":[65],"pixels.":[67,82],"Then,":[68],"results":[70],"obtained":[71],"(spectral)":[75],"are":[76],"fused":[77],"detecting":[79,95],"candidate":[80,96,113],"We":[83,132],"explore":[84],"maxima":[85],"stable":[86],"extreme":[87],"regions":[88],"along":[89],"stroke":[91],"width":[92],"transform":[93],"regions.":[98,115],"Text":[99],"alignment":[100],"done":[102],"based":[103],"on":[104,135],"distance":[106],"between":[107],"nearest":[109,125],"neighbor":[110,126],"clusters":[111],"In":[116],"addition,":[117],"presents":[120],"symmetry":[123],"driven":[124],"restoring":[128],"full":[129],"lines.":[131],"conduct":[133],"experiments":[134],"our":[136],"collected":[137],"data":[139,145],"several":[143],"benchmark":[144],"sets,":[146],"such":[147],"ICDAR":[149,151],"2011,":[150],"2013,":[152],"MSRA-TD500":[154],"evaluate":[156],"method.":[159],"compared":[164],"state-of-the-art":[167],"methods":[168],"show":[170],"its":[171],"superiority":[172],"existing":[175],"methods.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}