{"id":"https://openalex.org/W2908904352","doi":"https://doi.org/10.1145/3290589.3290600","title":"A New Fast Multi-Context Method for Lossless Image Coding","display_name":"A New Fast Multi-Context Method for Lossless Image Coding","publication_year":2018,"publication_date":"2018-10-12","ids":{"openalex":"https://openalex.org/W2908904352","doi":"https://doi.org/10.1145/3290589.3290600","mag":"2908904352"},"language":"en","primary_location":{"id":"doi:10.1145/3290589.3290600","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290589.3290600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Sensors, Signal and Image 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/A5040769686","display_name":"Grzegorz Ulacha","orcid":"https://orcid.org/0000-0002-5726-6251"},"institutions":[{"id":"https://openalex.org/I155313962","display_name":"West Pomeranian University of Technology","ror":"https://ror.org/0596m7f19","country_code":"PL","type":"education","lineage":["https://openalex.org/I155313962"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Grzegorz Ulacha","raw_affiliation_strings":["West Pomeranian University of Technology Szczecin, Szczecin, Poland"],"affiliations":[{"raw_affiliation_string":"West Pomeranian University of Technology Szczecin, Szczecin, Poland","institution_ids":["https://openalex.org/I155313962"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073753573","display_name":"Ryszard Stasi\u0144ski","orcid":"https://orcid.org/0000-0003-2055-0379"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Ryszard Stasi\u0144ski","raw_affiliation_strings":["Pozna\u0144 University of Technology, Pozna\u0144, Poland"],"affiliations":[{"raw_affiliation_string":"Pozna\u0144 University of Technology, Pozna\u0144, Poland","institution_ids":["https://openalex.org/I46597724"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040769686"],"corresponding_institution_ids":["https://openalex.org/I155313962"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.16537605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"69","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression 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/T10901","display_name":"Advanced Data Compression 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/T10688","display_name":"Image and Signal Denoising Methods","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9972000122070312,"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":0.8356611728668213},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.7900872826576233},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5894412994384766},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4954925775527954},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4872201979160309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4803222715854645},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4572749435901642},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4401931166648865},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4255637526512146},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4144136905670166},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38640478253364563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38245245814323425},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3253244161605835},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3218022882938385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11014130711555481}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8356611728668213},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7900872826576233},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5894412994384766},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4954925775527954},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4872201979160309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4803222715854645},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4572749435901642},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4401931166648865},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4255637526512146},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4144136905670166},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38640478253364563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38245245814323425},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3253244161605835},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3218022882938385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11014130711555481},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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:10.1145/3290589.3290600","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290589.3290600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Sensors, Signal and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1525840521","https://openalex.org/W1559384551","https://openalex.org/W1588594383","https://openalex.org/W1875791059","https://openalex.org/W1964566904","https://openalex.org/W1977996430","https://openalex.org/W2009607723","https://openalex.org/W2096391285","https://openalex.org/W2096445898","https://openalex.org/W2118612677","https://openalex.org/W2143022044","https://openalex.org/W2153638435","https://openalex.org/W2154038385","https://openalex.org/W2320356851","https://openalex.org/W2754376138","https://openalex.org/W2759498771","https://openalex.org/W2765942595","https://openalex.org/W2911436056","https://openalex.org/W2931960626","https://openalex.org/W3146675199","https://openalex.org/W4240241513","https://openalex.org/W6607923624"],"related_works":["https://openalex.org/W4205367172","https://openalex.org/W2476683972","https://openalex.org/W1975702453","https://openalex.org/W2116992381","https://openalex.org/W2151453963","https://openalex.org/W2082550765","https://openalex.org/W3038784634","https://openalex.org/W2542964064","https://openalex.org/W2943757003","https://openalex.org/W3089713093"],"abstract_inverted_index":{"A":[0],"new":[1,107],"efficient":[2],"and":[3],"fast":[4,103],"context":[5],"lossless":[6],"image":[7],"coding":[8],"method":[9,108],"is":[10,19],"presented":[11],"in":[12,43],"the":[13,23,35,48,62,74,106,112],"paper,":[14],"named":[15],"Multi-ctx.":[16],"High":[17],"performance":[18,95],"obtained":[20],"due":[21],"to":[22,56,97,110],"fact":[24],"that":[25,98],"predictors":[26],"are":[27],"chosen":[28],"from":[29],"a":[30,68,85],"very":[31],"large":[32],"database.":[33],"On":[34],"other":[36],"hand,":[37],"simple":[38],"rules":[39],"determining":[40],"contexts":[41],"result":[42],"low":[44],"computational":[45],"complexity":[46],"of":[47,59,70,76,87,90,99],"method.":[49],"The":[50],"technique":[51],"can":[52,64],"be":[53,65,111],"easily":[54],"adapted":[55],"specific":[57],"class":[58],"applications,":[60],"as":[61],"algorithm":[63],"trained":[66,83],"on":[67,84],"set":[69,86],"exemplary":[71],"images.":[72],"For":[73],"purpose":[75],"proving":[77],"its":[78,94],"potential":[79],"it":[80],"has":[81],"been":[82],"45":[88],"images":[89],"various":[91],"type,":[92],"then":[93],"compared":[96],"some":[100],"widely":[101],"used":[102],"techniques.":[104],"Indeed,":[105],"appears":[109],"best,":[113],"even":[114],"better":[115],"than":[116],"CALIC":[117],"approach.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
