{"id":"https://openalex.org/W2607902449","doi":"https://doi.org/10.1109/icpr.2016.7900241","title":"Video scene text frames categorization for text detection and recognition","display_name":"Video scene text frames categorization for text detection and recognition","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2607902449","doi":"https://doi.org/10.1109/icpr.2016.7900241","mag":"2607902449"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7900241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5070568042","display_name":"Longfei Qin","orcid":"https://orcid.org/0000-0001-7204-2777"},"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":true,"raw_author_name":"Longfei Qin","raw_affiliation_strings":["National Key Lab for Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Key Lab 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"],"affiliations":[{"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":["Nanjing University, Nanjing, Jiangsu, CN"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, Jiangsu, CN","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068803496","display_name":"Umapada Pal","orcid":"https://orcid.org/0000-0002-5426-2618"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Umapada Pal","raw_affiliation_strings":["Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]},{"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, SG"],"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore, SG","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5070568042"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.835,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8177287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3886","last_page":"3891"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":1.0,"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":1.0,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.996399998664856,"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":0.7663702964782715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7588592767715454},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6790163516998291},{"id":"https://openalex.org/keywords/sobel-operator","display_name":"Sobel operator","score":0.6672946214675903},{"id":"https://openalex.org/keywords/text-detection","display_name":"Text detection","score":0.6522872447967529},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.6127394437789917},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5664265751838684},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5396431088447571},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5185433030128479},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49542033672332764},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.44820526242256165},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.3805527687072754},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3012373447418213},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.17274296283721924}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7663702964782715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7588592767715454},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6790163516998291},{"id":"https://openalex.org/C30703548","wikidata":"https://www.wikidata.org/wiki/Q1757673","display_name":"Sobel operator","level":5,"score":0.6672946214675903},{"id":"https://openalex.org/C2983589003","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text detection","level":3,"score":0.6522872447967529},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.6127394437789917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5664265751838684},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5396431088447571},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5185433030128479},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49542033672332764},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.44820526242256165},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.3805527687072754},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3012373447418213},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.17274296283721924}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7900241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1491319300","https://openalex.org/W1600276254","https://openalex.org/W1967791439","https://openalex.org/W1974975708","https://openalex.org/W1975035929","https://openalex.org/W1978854150","https://openalex.org/W1988461287","https://openalex.org/W1995026832","https://openalex.org/W2047547864","https://openalex.org/W2049951199","https://openalex.org/W2062671023","https://openalex.org/W2071744321","https://openalex.org/W2083868436","https://openalex.org/W2086838552","https://openalex.org/W2131093082","https://openalex.org/W2132952954","https://openalex.org/W2134378185","https://openalex.org/W2135231474","https://openalex.org/W2145803225","https://openalex.org/W2171426299","https://openalex.org/W6635900570","https://openalex.org/W6642178350","https://openalex.org/W6647184532","https://openalex.org/W6681640588"],"related_works":["https://openalex.org/W4388400392","https://openalex.org/W2383455043","https://openalex.org/W2343079405","https://openalex.org/W2269083758","https://openalex.org/W1974517722","https://openalex.org/W2367735169","https://openalex.org/W2545393398","https://openalex.org/W4225576506","https://openalex.org/W3134757346","https://openalex.org/W2378692644"],"abstract_inverted_index":{"Developing":[0],"a":[1,23,86,104,124,134],"unified":[2],"text":[3,32,56,167,188],"detection":[4,57,168,189],"and":[5,49,58,71,95,113,143,149,169,173,190],"recognition":[6,59,170,191],"method":[7,25,110,162,182],"is":[8,163,183],"hard":[9],"for":[10,26,54,69,85,137],"different":[11,28,101],"video":[12,31,50],"types":[13,29],"due":[14],"to":[15,79,133],"varying":[16],"characteristics":[17],"in":[18,103,123,151,186],"video.":[19],"This":[20],"paper":[21],"proposes":[22],"new":[24,105],"categorizing":[27],"of":[30,43,51,75,120,153,158],"frames,":[33],"namely,":[34],"videos":[35],"containing":[36],"advertisement,":[37],"signboard,":[38],"license":[39],"plate,":[40],"front":[41],"page":[42],"book":[44],"or":[45],"magazine,":[46],"street":[47],"view,":[48],"general":[52],"items,":[53],"better":[55],"rate.":[60],"We":[61,176],"propose":[62],"symmetry":[63],"features":[64,97,115,130,140],"using":[65,98],"gradient":[66],"vector":[67],"flow":[68],"Canny":[70],"Sobel":[72],"edge":[73,82,88],"images":[74],"each":[76],"input":[77],"frame":[78],"identify":[80],"candidate":[81,87,121],"components.":[83],"Then":[84],"component":[89],"image,":[90],"we":[91],"extract":[92],"both":[93,147],"global":[94],"local":[96],"colors":[99],"from":[100,116],"channels":[102],"way.":[106],"Besides,":[107],"the":[108,117,128,159,179],"proposed":[109,160,180],"extracts":[111],"statistical":[112],"structural":[114],"spatial":[118],"distribution":[119],"pixels":[122],"multi-scale":[125],"environment.":[126],"Lastly,":[127],"extracted":[129,141],"are":[131,145],"fed":[132],"logistic":[135],"classifier":[136],"categorization.":[138,175],"The":[139,156],"locally":[142],"globally":[144],"tested":[146],"separately":[148],"altogether":[150],"terms":[152],"confusion":[154],"matrix.":[155],"performance":[157],"categorization":[161,181],"evaluated":[164],"through":[165],"several":[166],"experiments":[171],"before":[172],"after":[174],"noted":[177],"that":[178],"very":[184],"useful":[185],"improving":[187],"performance.":[192]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}