{"id":"https://openalex.org/W2115021540","doi":"https://doi.org/10.1109/isspa.2007.4555475","title":"Modeling scene text features with parametric filter banks and contextual color-shift distribution model","display_name":"Modeling scene text features with parametric filter banks and contextual color-shift distribution model","publication_year":2007,"publication_date":"2007-02-01","ids":{"openalex":"https://openalex.org/W2115021540","doi":"https://doi.org/10.1109/isspa.2007.4555475","mag":"2115021540"},"language":"en","primary_location":{"id":"doi:10.1109/isspa.2007.4555475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2007.4555475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 9th International Symposium on Signal Processing and Its Applications","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/A5029216308","display_name":"Wangchao Le","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wangchao Le","raw_affiliation_strings":["School of Computer Science & Engineering, South China University of Technology, Wushan, China","Sch. of Comp. Sci.& Eng., South China Univ. of Technol., Guangzhou"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering, South China University of Technology, Wushan, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Sch. of Comp. Sci.& Eng., South China Univ. of Technol., Guangzhou","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037697721","display_name":"LI Shao-fa","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaofa Li","raw_affiliation_strings":["School of Computer Science & Engineering, South China University of Technology, Wushan, China","Sch. of Comp. Sci.& Eng., South China Univ. of Technol., Guangzhou"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering, South China University of Technology, Wushan, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Sch. of Comp. Sci.& Eng., South China Univ. of Technol., Guangzhou","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029216308"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14426307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9995999932289124,"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"}},"topics":[{"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/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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9984999895095825,"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":0.801832914352417},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7362976670265198},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7001561522483826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6875460147857666},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6232442855834961},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5354981422424316},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.504393458366394},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.5010759830474854},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4853197932243347},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.48055461049079895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4592433273792267},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4208984971046448},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.23525798320770264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08008146286010742}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.801832914352417},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7362976670265198},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7001561522483826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6875460147857666},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6232442855834961},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5354981422424316},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.504393458366394},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.5010759830474854},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4853197932243347},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.48055461049079895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4592433273792267},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4208984971046448},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.23525798320770264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08008146286010742},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspa.2007.4555475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2007.4555475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 9th International Symposium on Signal Processing and Its Applications","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":8,"referenced_works":["https://openalex.org/W2012801633","https://openalex.org/W2101627831","https://openalex.org/W2121839820","https://openalex.org/W2146248127","https://openalex.org/W2169493540","https://openalex.org/W2539788135","https://openalex.org/W6674682957","https://openalex.org/W6684940549"],"related_works":["https://openalex.org/W2289718384","https://openalex.org/W1995675544","https://openalex.org/W2509524819","https://openalex.org/W2012121796","https://openalex.org/W2068427817","https://openalex.org/W2952090425","https://openalex.org/W2538333368","https://openalex.org/W3127866798","https://openalex.org/W4294845631","https://openalex.org/W1518153952"],"abstract_inverted_index":{"Texts":[0],"in":[1,107],"scene":[2,28,39],"images":[3],"provide":[4,23],"important":[5],"information":[6],"for":[7,27],"indexing":[8],"and":[9,19,104],"searching.":[10],"If":[11],"these":[12],"texts":[13],"can":[14],"be":[15],"correctly":[16],"located,":[17],"segmented":[18],"recognized,":[20],"they":[21],"could":[22],"a":[24,35,59,87,99,108,130,143],"semantic":[25],"source":[26],"understanding.":[29],"In":[30],"this":[31,120],"paper,":[32],"we":[33],"propose":[34],"method":[36],"to":[37,65,132],"model":[38,94],"text":[40,81],"features":[41,140],"with":[42,58],"structured":[43],"or":[44],"semi-structured":[45],"fonts.":[46],"The":[47],"framework":[48],"is":[49,95,127],"composed":[50],"by":[51],"three":[52],"stages:":[53],"1)":[54],"Tailored":[55],"filter":[56],"banks":[57],"parametric":[60],"parallel":[61],"detector":[62],"are":[63,83,114],"used":[64],"detect":[66],"stroke-like":[67,73],"areas":[68,74],"on":[69,119],"multi-scale":[70],"inputs.":[71],"These":[72],"(candidates),":[75],"being":[76],"the":[77],"potential":[78],"skeletons":[79],"of":[80,101,110],"regions,":[82],"then":[84,105],"passed":[85],"through":[86],"labeling":[88],"scheme.":[89],"2)":[90],"A":[91,123],"color-shift":[92],"distribution":[93],"first":[96],"sampled":[97],"under":[98],"pair":[100],"selected":[102],"variants":[103],"trained":[106],"pool":[109],"scene-text":[111],"images.":[112],"Candidates":[113],"assigned":[115],"belief":[116],"values":[117],"based":[118],"model.":[121],"3)":[122],"contextual":[124],"probability":[125],"function":[126],"formulated":[128],"as":[129],"reference":[131],"integrate":[133],"context-free":[134],"candidates":[135],"into":[136],"context-related":[137],"regions.":[138],"Modeled":[139],"output":[141],"after":[142],"scale":[144],"fusion":[145],"process.":[146]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}