{"id":"https://openalex.org/W2184237843","doi":"https://doi.org/10.1109/biocas.2015.7348302","title":"A low-energy ASIP with flexible exponential Golomb codec for lossless data compression toward artificial vision systems","display_name":"A low-energy ASIP with flexible exponential Golomb codec for lossless data compression toward artificial vision systems","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2184237843","doi":"https://doi.org/10.1109/biocas.2015.7348302","mag":"2184237843"},"language":"en","primary_location":{"id":"doi:10.1109/biocas.2015.7348302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2015.7348302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Biomedical Circuits and Systems Conference (BioCAS)","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/A5023814716","display_name":"Tomoki Sugiura","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tomoki Sugiura","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056280822","display_name":"Jaehoon Yu","orcid":"https://orcid.org/0000-0001-6639-7694"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jaehoon Yu","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101432602","display_name":"Yoshinori Takeuchi","orcid":"https://orcid.org/0000-0001-6936-3596"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshinori Takeuchi","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109865597","display_name":"Masaharu Imai","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaharu Imai","raw_affiliation_strings":["Global Center for Medical Engineering and Informatics, Osaka University, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Global Center for Medical Engineering and Informatics, Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023814716"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.3946,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67489186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8069817423820496},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.7689014673233032},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.7297109365463257},{"id":"https://openalex.org/keywords/golomb-coding","display_name":"Golomb coding","score":0.6764166355133057},{"id":"https://openalex.org/keywords/instruction-set","display_name":"Instruction set","score":0.5743779540061951},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.48587173223495483},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4752464294433594},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4527762234210968},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.44503697752952576},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.416303426027298},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3675841689109802},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3649623394012451},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3351219594478607},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32164162397384644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2163371741771698},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.11889079213142395}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8069817423820496},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7689014673233032},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.7297109365463257},{"id":"https://openalex.org/C66656319","wikidata":"https://www.wikidata.org/wiki/Q2638","display_name":"Golomb coding","level":5,"score":0.6764166355133057},{"id":"https://openalex.org/C202491316","wikidata":"https://www.wikidata.org/wiki/Q272683","display_name":"Instruction set","level":2,"score":0.5743779540061951},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.48587173223495483},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4752464294433594},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4527762234210968},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.44503697752952576},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.416303426027298},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3675841689109802},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3649623394012451},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3351219594478607},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32164162397384644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2163371741771698},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.11889079213142395},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/biocas.2015.7348302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2015.7348302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Biomedical Circuits and Systems Conference (BioCAS)","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":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W171665797","https://openalex.org/W1794490681","https://openalex.org/W2005677937","https://openalex.org/W2011629697","https://openalex.org/W2042805779","https://openalex.org/W2068147451","https://openalex.org/W2085956503","https://openalex.org/W2104068236","https://openalex.org/W2112090224","https://openalex.org/W2128777897","https://openalex.org/W2322814511","https://openalex.org/W2329712308","https://openalex.org/W3096272296"],"related_works":["https://openalex.org/W1487470981","https://openalex.org/W2167897635","https://openalex.org/W3083947873","https://openalex.org/W3011890121","https://openalex.org/W2125224196","https://openalex.org/W2059274400","https://openalex.org/W784062432","https://openalex.org/W4402272498","https://openalex.org/W2128890367","https://openalex.org/W1810995209"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"application-domain":[4],"specific":[5],"instruction-set":[6],"processor":[7],"(ASIP)":[8],"with":[9,93],"dedicated":[10,29],"instructions":[11,30],"for":[12,74,78,86,90],"lossless":[13],"data":[14],"compression":[15,58,75,87],"and":[16,76,80,88],"decompression":[17],"process":[18],"to":[19,31,35,55],"be":[20,48],"used":[21],"in":[22,53],"artificial":[23],"vision":[24],"systems.":[25],"Proposed":[26],"ASIP":[27,68],"has":[28],"accelerate":[32],"the":[33,43,51,57,66,94],"performance":[34],"codec":[36],"operations":[37],"of":[38],"Exponential":[39],"Golomb":[40],"coding,":[41],"where":[42],"coding":[44],"parameter":[45],"value":[46],"can":[47],"set":[49,98],"by":[50,72,84],"user":[52],"order":[54],"maximize":[56],"ratio.":[59],"Experimental":[60],"results":[61],"through":[62],"simulation":[63],"show":[64],"that":[65],"proposed":[67],"reduces":[69,81],"execution":[70],"cycles":[71],"88%":[73],"42%":[77],"decompression,":[79,91],"energy":[82],"consumption":[83],"85%":[85],"40%":[89],"compared":[92],"base":[95],"reduced":[96],"instruction":[97],"computer":[99],"processor.":[100]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
