{"id":"https://openalex.org/W2093140727","doi":"https://doi.org/10.1109/ispacs.2014.7024478","title":"Multi-oriented text detection for intra-frame in H.264/AVC video","display_name":"Multi-oriented text detection for intra-frame in H.264/AVC video","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2093140727","doi":"https://doi.org/10.1109/ispacs.2014.7024478","mag":"2093140727"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs.2014.7024478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2014.7024478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","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/A5011353603","display_name":"Kazuki Minemura","orcid":null},"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":"Kazuki Minemura","raw_affiliation_strings":["Faculty of Comp Sci. and Info. Tech., University of Malaya, Kuala Lumpur, Malaysia","Faculty of Comp. Sci. and Info. Tech., University of Malaya, Kuala Lumpur, 50603, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Comp Sci. and Info. Tech., University of Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]},{"raw_affiliation_string":"Faculty of Comp. Sci. and Info. Tech., University of Malaya, Kuala Lumpur, 50603, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"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":"Shivakumara Palaiahnakote","raw_affiliation_strings":["Faculty of Comp Sci. and Info. Tech., University of Malaya, Kuala Lumpur, Malaysia","Faculty of Comp. Sci. and Info. Tech., University of Malaya, Kuala Lumpur, 50603, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Comp Sci. and Info. Tech., University of Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]},{"raw_affiliation_string":"Faculty of Comp. Sci. and Info. Tech., University of Malaya, Kuala Lumpur, 50603, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069916756","display_name":"KokSheik Wong","orcid":"https://orcid.org/0000-0002-4893-2291"},"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":"KokSheik Wong","raw_affiliation_strings":["Faculty of Comp Sci. and Info. Tech., University of Malaya, Kuala Lumpur, Malaysia","Faculty of Comp. Sci. and Info. Tech., University of Malaya, Kuala Lumpur, 50603, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Comp Sci. and Info. Tech., University of Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]},{"raw_affiliation_string":"Faculty of Comp. Sci. and Info. Tech., University of Malaya, Kuala Lumpur, 50603, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2472,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.6161999,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"11","issue":null,"first_page":"330","last_page":"335"},"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9994000196456909,"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/T13579","display_name":"Image and Video Stabilization","score":0.9980000257492065,"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":0.7893757820129395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6246728301048279},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6135099530220032},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.5962304472923279},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5787632465362549},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5385021567344666},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.500086784362793},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4861290454864502},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46374189853668213},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3650932013988495},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15203925967216492}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7893757820129395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6246728301048279},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6135099530220032},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.5962304472923279},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5787632465362549},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5385021567344666},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.500086784362793},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4861290454864502},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46374189853668213},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3650932013988495},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15203925967216492},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispacs.2014.7024478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2014.7024478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8899999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1480779007","https://openalex.org/W1531670662","https://openalex.org/W1556544299","https://openalex.org/W1964797636","https://openalex.org/W1978854150","https://openalex.org/W1989327159","https://openalex.org/W1995052126","https://openalex.org/W2014286161","https://openalex.org/W2027883219","https://openalex.org/W2034865967","https://openalex.org/W2063045808","https://openalex.org/W2065408997","https://openalex.org/W2074820941","https://openalex.org/W2079908704","https://openalex.org/W2106219841","https://openalex.org/W2117586922","https://openalex.org/W2134378185","https://openalex.org/W2137718414","https://openalex.org/W2140199336","https://openalex.org/W2142907989","https://openalex.org/W2143219171"],"related_works":["https://openalex.org/W2055682261","https://openalex.org/W1916685473","https://openalex.org/W1993363272","https://openalex.org/W2186390138","https://openalex.org/W2060035984","https://openalex.org/W2790129917","https://openalex.org/W2992856432","https://openalex.org/W2174937762","https://openalex.org/W2036536548","https://openalex.org/W2054459866"],"abstract_inverted_index":{"Text":[0],"detection":[1],"in":[2,9,22,37,110,115],"compressed":[3,40],"video":[4],"has":[5],"received":[6],"much":[7],"attention":[8],"recent":[10],"years":[11],"due":[12],"to":[13,66,76,92,128],"the":[14,38,58,68,94,102,106,123,130],"effectiveness":[15],"of":[16,48],"DCT":[17],"coefficients":[18,36,49],"and":[19,61],"motion":[20],"vectors":[21],"realizing":[23],"several":[24],"applications.":[25],"In":[26],"this":[27],"paper,":[28],"a":[29,51],"new":[30],"text":[31,69,96],"detection,":[32],"which":[33],"utilizes":[34],"AC":[35],"H.264/AVC":[39],"video,":[41],"is":[42,54,74,90,126],"proposed.":[43],"The":[44,71],"proposed":[45,103,124],"median":[46],"deviation":[47],"from":[50],"specific":[52],"subband":[53],"first":[55],"computed,":[56],"then":[57],"k-means":[59],"clustering":[60],"morphological":[62],"operations":[63],"are":[64],"applied":[65],"classify":[67],"candidates.":[70,97],"majority":[72],"orientation":[73],"considered":[75],"eliminate":[77],"false":[78],"positive":[79],"candidate":[80],"groups":[81],"that":[82,101],"have":[83],"different":[84],"orientations.":[85],"Local":[86],"block":[87],"energy":[88],"information":[89],"extracted":[91],"obtain":[93],"final":[95],"Experimental":[98],"results":[99],"show":[100],"method":[104,125],"outperforms":[105],"existing":[107],"methods":[108,132],"either":[109],"computational":[111],"time":[112],"or":[113],"accuracy":[114],"detecting":[116],"horizontal":[117],"text.":[118],"Furthermore,":[119],"for":[120],"non-horizontal":[121],"text,":[122],"superior":[127],"all":[129],"conventional":[131],"considered.":[133]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
