{"id":"https://openalex.org/W1964077147","doi":"https://doi.org/10.1109/icassp.2010.5495426","title":"Neighborhood coding for bilevel image compression and shape recognition","display_name":"Neighborhood coding for bilevel image compression and shape recognition","publication_year":2010,"publication_date":"2010-03-01","ids":{"openalex":"https://openalex.org/W1964077147","doi":"https://doi.org/10.1109/icassp.2010.5495426","mag":"1964077147"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5495426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5012139016","display_name":"Tiago Buarque Assun\u00e7\u00e3o de Carvalho","orcid":"https://orcid.org/0000-0001-9321-8938"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Tiago B. A. de Carvalho","raw_affiliation_strings":["Center of Informatics, Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil","Center of Informatics, Federal University of Pernambuco, Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Center of Informatics, Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Center of Informatics, Federal University of Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015288428","display_name":"Denise J. Tenorio","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Denise J. Tenorio","raw_affiliation_strings":["Center of Informatics, Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil","Center of Informatics, Federal University of Pernambuco, Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Center of Informatics, Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Center of Informatics, Federal University of Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022457755","display_name":"Tsang Ing Ren","orcid":"https://orcid.org/0000-0002-3677-0264"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Tsang Ing Ren","raw_affiliation_strings":["Center of Informatics, Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil","Center of Informatics, Federal University of Pernambuco, Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Center of Informatics, Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Center of Informatics, Federal University of Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084140678","display_name":"George D. C. Cavalcanti","orcid":"https://orcid.org/0000-0001-7714-2283"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"George D.C. Cavalcanti","raw_affiliation_strings":["Center of Informatics, Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil","Center of Informatics, Federal University of Pernambuco, Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Center of Informatics, Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Center of Informatics, Federal University of Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020571781","display_name":"Tsang Ing Jyh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsang Ing Jyh","raw_affiliation_strings":["Bell Labs, Alcatel-Lucent, Belgium","Alcatel-Lucent Bell Labs, Belgium"],"affiliations":[{"raw_affiliation_string":"Bell Labs, Alcatel-Lucent, Belgium","institution_ids":[]},{"raw_affiliation_string":"Alcatel-Lucent Bell Labs, Belgium","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5012139016"],"corresponding_institution_ids":["https://openalex.org/I25112270"],"apc_list":null,"apc_paid":null,"fwci":1.3531,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83378568,"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":"1302","last_page":"1305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9983000159263611,"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":0.9983000159263611,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9980999827384949,"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":0.9965999722480774,"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/huffman-coding","display_name":"Huffman coding","score":0.7933931350708008},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6434957981109619},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6319328546524048},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6318372488021851},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.5760869383811951},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5602359771728516},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5527393817901611},{"id":"https://openalex.org/keywords/tunstall-coding","display_name":"Tunstall coding","score":0.5377187132835388},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5129551291465759},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5114811658859253},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.43479642271995544},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.43169063329696655},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.42118513584136963},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2729812264442444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.260434091091156},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24920737743377686}],"concepts":[{"id":"https://openalex.org/C46900642","wikidata":"https://www.wikidata.org/wiki/Q2647","display_name":"Huffman coding","level":3,"score":0.7933931350708008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6434957981109619},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6319328546524048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6318372488021851},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.5760869383811951},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5602359771728516},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5527393817901611},{"id":"https://openalex.org/C73231260","wikidata":"https://www.wikidata.org/wiki/Q7853376","display_name":"Tunstall coding","level":4,"score":0.5377187132835388},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5129551291465759},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5114811658859253},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.43479642271995544},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.43169063329696655},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.42118513584136963},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2729812264442444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.260434091091156},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24920737743377686},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2010.5495426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.47999998927116394}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320323678","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Ci\u00eancia e Tecnologia do Estado de Pernambuco","ror":"https://ror.org/02te5rf52"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1605949656","https://openalex.org/W1675273072","https://openalex.org/W1964182505","https://openalex.org/W2098343583","https://openalex.org/W2106404777","https://openalex.org/W4285719527","https://openalex.org/W6636996871","https://openalex.org/W6674644064"],"related_works":["https://openalex.org/W1579872668","https://openalex.org/W1499106570","https://openalex.org/W4312628177","https://openalex.org/W2123072960","https://openalex.org/W2096793045","https://openalex.org/W340392727","https://openalex.org/W4297360799","https://openalex.org/W1994532706","https://openalex.org/W2064300363","https://openalex.org/W1566975187"],"abstract_inverted_index":{"Neighborhood":[0],"coding":[1,10,28,93,135],"was":[2],"proposed":[3],"to":[4,50,57,98,104,127],"encode":[5],"binary":[6,153],"images.":[7],"Previously,":[8],"this":[9,23,27,140],"scheme":[11,29],"presented":[12],"good":[13],"results":[14],"in":[15,42,142],"the":[16,52,59,68,117,128,134,143,152],"problem":[17],"of":[18,54,63,72,130],"handwritten":[19],"character":[20],"recognition.":[21],"In":[22],"article,":[24],"we":[25,121],"extended":[26],"so":[30],"that":[31],"it":[32],"can":[33],"be":[34],"applied":[35,122],"as":[36,110],"an":[37],"image":[38,45,60,106,154],"shape":[39,81,118],"descriptor":[40],"and":[41,79,94,112,151],"a":[43,75,80,100,123],"bilevel":[44],"compression":[46,77,101,107,155],"method.":[47],"An":[48],"algorithm":[49,126],"reduce":[51],"number":[53],"codes":[55,88],"needed":[56],"reconstruct":[58],"without":[61],"loss":[62],"information":[64],"is":[65],"presented.":[66],"Using":[67],"exactly":[69],"same":[70],"set":[71,129],"reduced":[73,87],"codes,":[74],"lossless":[76],"method":[78,141],"recognition":[82,119],"system":[83],"are":[84,89],"proposed.":[85],"The":[86],"used":[90],"with":[91],"Huffman":[92],"RLE":[95],"(Run-Length":[96],"Encoding)":[97],"obtain":[99],"rate":[102],"comparable":[103],"well-known":[105],"algorithms":[108],"such":[109],"LZW":[111],"CCITT":[113],"Group":[114],"4.":[115],"For":[116],"task":[120],"template":[124],"matching":[125],"strings":[131],"generated":[132],"by":[133],"reduction":[136],"procedure.":[137],"We":[138],"tested":[139],"MPEG-7":[144],"Core":[145],"Experiment":[146],"Shape":[147],"1":[148],"part":[149],"A2":[150],"challenge":[156],"database.":[157]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
