{"id":"https://openalex.org/W1657400956","doi":"https://doi.org/10.1109/icacci.2015.7275947","title":"Phase congruency and morphology based approach for text localization in videos","display_name":"Phase congruency and morphology based approach for text localization in videos","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1657400956","doi":"https://doi.org/10.1109/icacci.2015.7275947","mag":"1657400956"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2015.7275947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2015.7275947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5015312288","display_name":"B. H. Shekar","orcid":"https://orcid.org/0000-0003-4379-2960"},"institutions":[{"id":"https://openalex.org/I19008122","display_name":"Mangalore University","ror":"https://ror.org/05fep3933","country_code":"IN","type":"education","lineage":["https://openalex.org/I19008122"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"B.H. Shekar","raw_affiliation_strings":["Department of Computer Science, Mangalore University Mangalore, Karnataka, India","[Department of Computer Science, Mangalore University, Karnataka, India]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Mangalore University Mangalore, Karnataka, India","institution_ids":["https://openalex.org/I19008122"]},{"raw_affiliation_string":"[Department of Computer Science, Mangalore University, Karnataka, India]","institution_ids":["https://openalex.org/I19008122"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109883825","display_name":"Smitha M.L.","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161346","display_name":"KVG Dental College & Hospital","ror":"https://ror.org/05r1p5z75","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210161346"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Smitha M.L.","raw_affiliation_strings":["Department of Master of Computer Applications, KVG College of Engineering, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"Department of Master of Computer Applications, KVG College of Engineering, Karnataka, India","institution_ids":["https://openalex.org/I4210161346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015312288"],"corresponding_institution_ids":["https://openalex.org/I19008122"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55780376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"2221","last_page":"2225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9994999766349792,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9994999766349792,"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":0.9991999864578247,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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":0.8225609660148621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6127575635910034},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5939122438430786},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.593134343624115},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.563374400138855},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4784691035747528},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4640936255455017},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.44871312379837036},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.44674527645111084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4136573374271393},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4014939069747925},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.09745386242866516}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8225609660148621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6127575635910034},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5939122438430786},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.593134343624115},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.563374400138855},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4784691035747528},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4640936255455017},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.44871312379837036},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.44674527645111084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4136573374271393},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4014939069747925},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.09745386242866516},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2015.7275947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2015.7275947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6700000166893005,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1548186045","https://openalex.org/W1962010357","https://openalex.org/W1983024748","https://openalex.org/W1990177209","https://openalex.org/W2002260191","https://openalex.org/W2006408850","https://openalex.org/W2018451638","https://openalex.org/W2049574251","https://openalex.org/W2051725640","https://openalex.org/W2054576960","https://openalex.org/W2095695306","https://openalex.org/W2097725016","https://openalex.org/W2111308925","https://openalex.org/W2122013264","https://openalex.org/W2122834273","https://openalex.org/W2142907989","https://openalex.org/W2182894694","https://openalex.org/W2397476383","https://openalex.org/W6632875196","https://openalex.org/W6640974819","https://openalex.org/W6674754800","https://openalex.org/W6681726749","https://openalex.org/W6712636559"],"related_works":["https://openalex.org/W2357256365","https://openalex.org/W2348502264","https://openalex.org/W2365486383","https://openalex.org/W2362059367","https://openalex.org/W2350084742","https://openalex.org/W2616627668","https://openalex.org/W2901443725","https://openalex.org/W2357988862","https://openalex.org/W3137121595","https://openalex.org/W1855558850"],"abstract_inverted_index":{"In":[0,43],"this":[1,44],"knowledge":[2],"era,":[3],"cognitive":[4],"learning":[5],"and":[6,65,79,101,120,132],"media":[7],"technologies":[8],"promote":[9],"high":[10],"visual":[11],"orientation":[12],"through":[13],"videos":[14,31,131],"which":[15,36],"appears":[16],"in":[17,30,56,126,130],"the":[18,53,61,71,103,110,113,117,121,124,128],"form":[19],"of":[20,51,83,112],"text,":[21],"graphics,":[22],"animations,":[23],"audio":[24],"or":[25],"still":[26],"images.":[27,134],"Text":[28],"present":[29],"carry":[32],"important":[33],"semantic":[34],"information":[35],"is":[37,105],"indeed":[38],"essential":[39],"for":[40,88],"video":[41,57],"comprehension.":[42],"context,":[45],"we":[46],"propose":[47],"a":[48,81],"novel":[49],"method":[50,115],"detecting":[52],"text":[54,93,104,129],"clusters":[55],"frames":[58],"based":[59,67],"on":[60,116],"phase":[62],"congruency":[63],"model":[64],"morphology":[66],"approaches.":[68],"We":[69,107],"investigate":[70],"matching":[72],"features":[73],"extracted":[74],"from":[75],"both":[76],"these":[77],"methods":[78],"devise":[80],"set":[82],"rules":[84],"using":[85,97],"morphological":[86],"operators":[87],"false":[89],"positive":[90],"elimination.":[91],"The":[92],"regions":[94],"are":[95],"detected":[96],"connected":[98],"component":[99],"analysis":[100],"finally":[102],"localized.":[106],"have":[108],"evaluated":[109],"performance":[111],"proposed":[114],"standard":[118],"datasets":[119],"results":[122],"highlight":[123],"effectiveness":[125],"localizing":[127],"scene":[133]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}