{"id":"https://openalex.org/W2799331920","doi":"https://doi.org/10.1109/iscas.2018.8350956","title":"An Energy Efficient JPEG Encoder with Neural Network Based Approximation and Near-Threshold Computing","display_name":"An Energy Efficient JPEG Encoder with Neural Network Based Approximation and Near-Threshold Computing","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2799331920","doi":"https://doi.org/10.1109/iscas.2018.8350956","mag":"2799331920"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2018.8350956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2018.8350956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5026090096","display_name":"Zhihui Wang","orcid":"https://orcid.org/0000-0001-8140-1882"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Wang","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054524841","display_name":"Shouyi Yin","orcid":"https://orcid.org/0000-0003-2309-572X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouyi Yin","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038947607","display_name":"Fengbin Tu","orcid":"https://orcid.org/0000-0003-2228-8829"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengbin Tu","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358856","display_name":"Leibo Liu","orcid":"https://orcid.org/0000-0001-7548-4116"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leibo Liu","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036023084","display_name":"Shaojun Wei","orcid":"https://orcid.org/0000-0001-5117-7920"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojun Wei","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9991000294685364,"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":0.9991000294685364,"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9983000159263611,"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7539936304092407},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7478562593460083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7435984015464783},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.7173190712928772},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.5813759565353394},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.5704030990600586},{"id":"https://openalex.org/keywords/lossless-jpeg","display_name":"Lossless JPEG","score":0.5659360885620117},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5478508472442627},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5000545978546143},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.4810226559638977},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.45901528000831604},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.44738107919692993},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.4184555411338806},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.3776130676269531},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.37350374460220337},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.33223700523376465},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.3256910443305969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29329121112823486},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.2920328378677368},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22127655148506165},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.15909066796302795},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.12646484375},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12473133206367493},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07498854398727417}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7539936304092407},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7478562593460083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7435984015464783},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.7173190712928772},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.5813759565353394},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.5704030990600586},{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.5659360885620117},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5478508472442627},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5000545978546143},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.4810226559638977},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.45901528000831604},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.44738107919692993},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.4184555411338806},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3776130676269531},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.37350374460220337},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.33223700523376465},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.3256910443305969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29329121112823486},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2920328378677368},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22127655148506165},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.15909066796302795},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.12646484375},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12473133206367493},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07498854398727417},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2018.8350956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2018.8350956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Circuits and Systems (ISCAS)","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1520014803","https://openalex.org/W1998525920","https://openalex.org/W2005865544","https://openalex.org/W2020875745","https://openalex.org/W2023751094","https://openalex.org/W2040903332","https://openalex.org/W2128247882","https://openalex.org/W2148605318","https://openalex.org/W2159497348","https://openalex.org/W2187230075","https://openalex.org/W2289252105","https://openalex.org/W2402093298","https://openalex.org/W4240331638"],"related_works":["https://openalex.org/W3190486427","https://openalex.org/W4243959093","https://openalex.org/W1992410481","https://openalex.org/W1998280942","https://openalex.org/W2441603424","https://openalex.org/W2145138541","https://openalex.org/W1980149576","https://openalex.org/W2026465795","https://openalex.org/W3137515556","https://openalex.org/W4385625475"],"abstract_inverted_index":{"JPEG":[0,21,70,79],"compression":[1],"is":[2,87],"an":[3,13,44],"important":[4],"part":[5],"in":[6,39,74],"low-power":[7],"multimedia":[8],"applications.":[9],"This":[10,78],"paper":[11],"proposes":[12],"approach":[14],"that":[15],"leverages":[16],"the":[17],"error":[18],"resilience":[19],"of":[20],"for":[22,93],"different":[23],"energy":[24,104],"budgets.":[25],"We":[26],"select":[27],"and":[28,35],"train":[29],"neural":[30,48,54],"networks":[31,55],"to":[32,51,67,89,101,113],"approximate":[33],"DCT":[34],"quantization":[36],"code":[37],"regions":[38],"JPEG.":[40],"Then":[41],"we":[42],"design":[43],"architecture":[45,63],"called":[46],"reconfigurable":[47],"unit":[49],"(RNU)":[50],"accelerate":[52],"trained":[53],"which":[56],"replace":[57],"original":[58],"codes.":[59],"In":[60],"addition,":[61],"some":[62],"innovations":[64],"are":[65],"proposed":[66],"make":[68],"our":[69],"encoder":[71,80],"works":[72],"efficiently":[73],"near-threshold":[75],"voltage":[76],"region.":[77],"synthesized":[81],"with":[82,106],"a":[83,94,115],"40nm":[84],"CMOS":[85],"technology,":[86],"able":[88],"operate":[90],"at":[91],"40MHz":[92],"0.6V":[95],"supply":[96,118],"voltage.":[97,119],"Results":[98],"show":[99],"up":[100],"5.0":[102],"\u00d7":[103,108],"reduction":[105],"2.5":[107],"performance":[109],"degradation":[110],"when":[111],"compared":[112],"using":[114],"1.0V":[116],"nominal":[117]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
