{"id":"https://openalex.org/W2011580521","doi":"https://doi.org/10.1109/icdim.2010.5664648","title":"Text data compression ratio as a text attribute for a language-independent text art extraction method","display_name":"Text data compression ratio as a text attribute for a language-independent text art extraction method","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2011580521","doi":"https://doi.org/10.1109/icdim.2010.5664648","mag":"2011580521"},"language":"en","primary_location":{"id":"doi:10.1109/icdim.2010.5664648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2010.5664648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Fifth International Conference on Digital Information Management (ICDIM)","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/A5052869680","display_name":"Tetsuya Suzuki","orcid":"https://orcid.org/0000-0003-2919-5481"},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tetsuya Suzuki","raw_affiliation_strings":["Department of Electronic Information Systems, College of Systems Engineering and Science, Shibaura Institute of Technology, Saitama, Saitama, Japan","Department of Electronic Information Systems, College of Systems Engineering and Science, Shibaura Institute of Technology, Minuma, Saitama city, Saitama, 337-8570, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Information Systems, College of Systems Engineering and Science, Shibaura Institute of Technology, Saitama, Saitama, Japan","institution_ids":["https://openalex.org/I171481255"]},{"raw_affiliation_string":"Department of Electronic Information Systems, College of Systems Engineering and Science, Shibaura Institute of Technology, Minuma, Saitama city, Saitama, 337-8570, Japan","institution_ids":["https://openalex.org/I171481255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045436027","display_name":"Kazuyuki Hayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuyuki Hayashi","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Graduate School of Engineering, Shibaura Institute of Technology, Saitama, Japan","Department of Electrical Engineering and Computer Science, Graduate School of Engineering, Shibaura Institute of Technology, Minuma, Saitama city, Saitama, 337-8570, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Graduate School of Engineering, Shibaura Institute of Technology, Saitama, Japan","institution_ids":["https://openalex.org/I171481255"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Graduate School of Engineering, Shibaura Institute of Technology, Minuma, Saitama city, Saitama, 337-8570, Japan","institution_ids":["https://openalex.org/I171481255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052869680"],"corresponding_institution_ids":["https://openalex.org/I171481255"],"apc_list":null,"apc_paid":null,"fwci":0.451,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71767035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"104","issue":null,"first_page":"513","last_page":"518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9940999746322632,"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":0.9890000224113464,"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":0.7645202875137329},{"id":"https://openalex.org/keywords/text-graph","display_name":"Text graph","score":0.7305577993392944},{"id":"https://openalex.org/keywords/noisy-text-analytics","display_name":"Noisy text analytics","score":0.7147645354270935},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5600529313087463},{"id":"https://openalex.org/keywords/text-simplification","display_name":"Text simplification","score":0.551523745059967},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.5350958108901978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5121543407440186},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4954601526260376},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.48208194971084595},{"id":"https://openalex.org/keywords/text-mining","display_name":"Text mining","score":0.46081656217575073},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4549046456813812},{"id":"https://openalex.org/keywords/text-processing","display_name":"Text processing","score":0.4517112374305725},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40186774730682373}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7645202875137329},{"id":"https://openalex.org/C66945725","wikidata":"https://www.wikidata.org/wiki/Q18388823","display_name":"Text graph","level":3,"score":0.7305577993392944},{"id":"https://openalex.org/C151375590","wikidata":"https://www.wikidata.org/wiki/Q17147076","display_name":"Noisy text analytics","level":4,"score":0.7147645354270935},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5600529313087463},{"id":"https://openalex.org/C59415355","wikidata":"https://www.wikidata.org/wiki/Q3484781","display_name":"Text simplification","level":3,"score":0.551523745059967},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.5350958108901978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5121543407440186},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4954601526260376},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.48208194971084595},{"id":"https://openalex.org/C71472368","wikidata":"https://www.wikidata.org/wiki/Q676880","display_name":"Text mining","level":2,"score":0.46081656217575073},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4549046456813812},{"id":"https://openalex.org/C2779500292","wikidata":"https://www.wikidata.org/wiki/Q14802672","display_name":"Text processing","level":2,"score":0.4517112374305725},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40186774730682373},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdim.2010.5664648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2010.5664648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Fifth International Conference on Digital Information Management (ICDIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8199999928474426,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1570448133","https://openalex.org/W2107745473","https://openalex.org/W2152349655","https://openalex.org/W6682577651"],"related_works":["https://openalex.org/W2770471982","https://openalex.org/W2152349655","https://openalex.org/W2770474375","https://openalex.org/W2011580521","https://openalex.org/W4384067529","https://openalex.org/W4390515129","https://openalex.org/W2475935882","https://openalex.org/W2357477486","https://openalex.org/W2158314654","https://openalex.org/W1985554800"],"abstract_inverted_index":{"Text":[0,46],"based":[1,122],"pictures":[2],"called":[3],"text":[4,13,21,31,55,60,69,78,98,104,143,155],"art":[5,47,56,70,105],"are":[6],"often":[7,139],"used":[8,96],"in":[9,20,57,97,112,142,161],"Web":[10],"pages,":[11],"email":[12],"and":[14,42,174,200],"so":[15],"on.":[16],"They":[17],"enrich":[18],"expression":[19],"data,":[22,61],"but":[23],"they":[24,35,88],"can":[25,36],"be":[26,37],"noise":[27],"for":[28,39,77,108],"handling":[29],"the":[30,52,159,162],"data.":[32,99],"For":[33],"example,":[34],"obstacle":[38],"text-to-speech":[40],"software":[41],"natural":[43,84,93,110],"language":[44,94],"processing.":[45],"extraction":[48,71,106,117,164,183,203],"methods,":[49,72],"which":[50],"detects":[51],"area":[53],"of":[54,126,154,158],"a":[58,91,103,133],"given":[59],"help":[62],"to":[63],"solve":[64],"such":[65,135],"problems.":[66],"Previously":[67],"proposed":[68,102],"however,":[73],"will":[74],"not":[75],"work":[76],"data":[79,151,156],"with":[80,185,195],"more":[81],"than":[82,192],"one":[83],"languages":[85,111],"well":[86],"because":[87],"assume":[89],"that":[90,136,175,181,194],"specific":[92],"is":[95],"We":[100],"have":[101],"method":[107,118,184],"multi":[109],"our":[113,163,182,201],"past":[114],"paper.":[115],"The":[116,130],"uses":[119],"an":[120],"attribute":[121,131,160],"on":[123],"successive":[124],"occurrences":[125],"same":[127,137],"two":[128,150],"characters.":[129],"represents":[132],"characteristic":[134],"characters":[138],"appear":[140],"successively":[141],"art.":[144],"In":[145],"this":[146],"paper,":[147],"we":[148],"use":[149],"compression":[152,167,186,196],"ratios":[153],"instead":[157],"method,":[165],"namely":[166],"ratio":[168,187,197],"by":[169,176,188,198],"Run":[170],"Length":[171],"Encoding":[172],"(RLE)":[173],"LZ77.":[177],"Our":[178],"experiments":[179],"show":[180],"RLE":[189],"works":[190],"better":[191],"both":[193],"LZ77":[199],"previous":[202],"method.":[204]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
