{"id":"https://openalex.org/W2571620779","doi":"https://doi.org/10.1109/apsipa.2016.7820747","title":"A low power lossy frame memory recompression algorithm","display_name":"A low power lossy frame memory recompression algorithm","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2571620779","doi":"https://doi.org/10.1109/apsipa.2016.7820747","mag":"2571620779"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2016.7820747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2016.7820747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","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/A5101644680","display_name":"Xin Zhou","orcid":"https://orcid.org/0000-0002-1496-405X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhou","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101872207","display_name":"Xiaocong Lian","orcid":"https://orcid.org/0000-0003-3917-5273"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaocong Lian","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000288828","display_name":"Wei Zhou","orcid":"https://orcid.org/0000-0001-9715-6957"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhou","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083007068","display_name":"Zhenyu Liu","orcid":"https://orcid.org/0000-0002-6581-2849"},"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":"Zhenyu 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/A5100603766","display_name":"Xiu Zhang","orcid":"https://orcid.org/0000-0001-6492-7524"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiu Zhang","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.15823115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"96","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9993000030517578,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.998199999332428,"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":0.7365636229515076},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.6685003638267517},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5804198384284973},{"id":"https://openalex.org/keywords/dram","display_name":"Dram","score":0.5637813806533813},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.49825477600097656},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4564805328845978},{"id":"https://openalex.org/keywords/dynamic-demand","display_name":"Dynamic demand","score":0.4466448426246643},{"id":"https://openalex.org/keywords/dynamic-random-access-memory","display_name":"Dynamic random-access memory","score":0.44271886348724365},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4376782178878784},{"id":"https://openalex.org/keywords/auxiliary-memory","display_name":"Auxiliary memory","score":0.43331417441368103},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.4281140863895416},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.42647483944892883},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.38743409514427185},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3349611163139343},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3293348550796509},{"id":"https://openalex.org/keywords/semiconductor-memory","display_name":"Semiconductor memory","score":0.2641215920448303},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2326475977897644},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12821632623672485}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7365636229515076},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.6685003638267517},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5804198384284973},{"id":"https://openalex.org/C7366592","wikidata":"https://www.wikidata.org/wiki/Q1255620","display_name":"Dram","level":2,"score":0.5637813806533813},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.49825477600097656},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4564805328845978},{"id":"https://openalex.org/C45872418","wikidata":"https://www.wikidata.org/wiki/Q5318966","display_name":"Dynamic demand","level":3,"score":0.4466448426246643},{"id":"https://openalex.org/C118702147","wikidata":"https://www.wikidata.org/wiki/Q189396","display_name":"Dynamic random-access memory","level":3,"score":0.44271886348724365},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4376782178878784},{"id":"https://openalex.org/C82687282","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Auxiliary memory","level":2,"score":0.43331417441368103},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.4281140863895416},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.42647483944892883},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.38743409514427185},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3349611163139343},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3293348550796509},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.2641215920448303},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2326475977897644},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12821632623672485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2016.7820747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2016.7820747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1982520125","https://openalex.org/W1987327330","https://openalex.org/W1993224157","https://openalex.org/W2084420179","https://openalex.org/W2119436682","https://openalex.org/W2135558537","https://openalex.org/W2146395539","https://openalex.org/W2245507383","https://openalex.org/W6677592919"],"related_works":["https://openalex.org/W2518930778","https://openalex.org/W2979599569","https://openalex.org/W3007039213","https://openalex.org/W3094611732","https://openalex.org/W2533585248","https://openalex.org/W2559795407","https://openalex.org/W2944414554","https://openalex.org/W2000563648","https://openalex.org/W3009022466","https://openalex.org/W2123644672"],"abstract_inverted_index":{"With":[0],"the":[1,6,14,19,22,30,96,114],"development":[2],"of":[3,33,48,81,95],"Ultra-High-Definition":[4],"video,":[5],"power":[7,32,94],"consumed":[8],"by":[9,100],"accessing":[10],"reference":[11],"frames":[12],"in":[13,103],"external":[15],"DRAM":[16,97],"has":[17],"become":[18],"bottleneck":[20],"for":[21],"portable":[23],"video":[24,110],"encoding":[25],"system":[26],"design.":[27],"To":[28],"reduce":[29],"dynamic":[31,58,93],"DRAM,":[34],"a":[35,49,53,57,63,108],"lossy":[36],"frame":[37],"memory":[38,87],"recompression":[39],"algorithm":[40,45,106],"is":[41,46,83,98,116],"proposed.":[42],"The":[43,105],"compression":[44],"composed":[47],"content-aware":[50],"adaptive":[51],"quantization,":[52],"multi-mode":[54],"directional":[55],"prediction,":[56],"kth-order":[59],"unary/Exp-Golomb":[60],"coding":[61],"and":[62,113],"partition":[64],"group":[65],"table":[66],"based":[67],"storage":[68],"space":[69,88],"reduction":[70,79],"scheme.":[71],"Experimental":[72],"results":[73],"show":[74],"that,":[75],"an":[76],"average":[77],"data":[78],"ratio":[80],"71.1%":[82],"obtained,":[84],"while":[85],"41%":[86],"can":[89],"be":[90],"saved.":[91],"59.6%":[92],"reduced":[99],"our":[101],"strategies":[102],"total.":[104],"causes":[107],"controllable":[109],"quality":[111],"degradation,":[112],"BD-PSNR":[115],"only":[117],"-0.04db,":[118],"or":[119],"equivalently":[120],"BD-BR=1.42%.":[121]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
