{"id":"https://openalex.org/W2963422480","doi":"https://doi.org/10.1109/icmew.2016.7574759","title":"Frame-level quality and memory traffic allocation for lossy embedded compression in video codec systems","display_name":"Frame-level quality and memory traffic allocation for lossy embedded compression in video codec systems","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2963422480","doi":"https://doi.org/10.1109/icmew.2016.7574759","mag":"2963422480"},"language":"en","primary_location":{"id":"doi:10.1109/icmew.2016.7574759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2016.7574759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia &amp; Expo Workshops (ICMEW)","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/A5101747895","display_name":"Li Guo","orcid":"https://orcid.org/0000-0003-0650-4229"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Li Guo","raw_affiliation_strings":["Graduate School of Information, Waseda University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information, Waseda University, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110827563","display_name":"Dajiang Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Dajiang Zhou","raw_affiliation_strings":["Graduate School of Information, Waseda University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information, Waseda University, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101598322","display_name":"Shinji Kimura","orcid":"https://orcid.org/0000-0002-9475-6858"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinji Kimura","raw_affiliation_strings":["Graduate School of Information, Waseda University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information, Waseda University, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101825973","display_name":"Satoshi Goto","orcid":"https://orcid.org/0000-0002-6387-048X"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Goto","raw_affiliation_strings":["Graduate School of Information, Waseda University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information, Waseda University, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101747895"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.2522,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60450161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"1","last_page":"6"},"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":0.9988999962806702,"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":0.9979000091552734,"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/lossy-compression","display_name":"Lossy compression","score":0.8767976760864258},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.8462204933166504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.836867094039917},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5328607559204102},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.52507084608078},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.4971666634082794},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.48573070764541626},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4669692814350128},{"id":"https://openalex.org/keywords/video-compression-picture-types","display_name":"Video compression picture types","score":0.46070873737335205},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.30693426728248596},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.25655287504196167},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24723786115646362},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2276720106601715},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.20574763417243958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1323266625404358}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.8767976760864258},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.8462204933166504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.836867094039917},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5328607559204102},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.52507084608078},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.4971666634082794},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.48573070764541626},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4669692814350128},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.46070873737335205},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.30693426728248596},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.25655287504196167},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24723786115646362},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2276720106601715},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.20574763417243958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1323266625404358},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/icmew.2016.7574759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2016.7574759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia &amp; Expo Workshops (ICMEW)","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":[{"id":"https://openalex.org/F4320322638","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1982520125","https://openalex.org/W1987327330","https://openalex.org/W2003358728","https://openalex.org/W2029970498","https://openalex.org/W2107030587","https://openalex.org/W2143851402","https://openalex.org/W2287783486","https://openalex.org/W2407574721"],"related_works":["https://openalex.org/W2973199290","https://openalex.org/W2903809284","https://openalex.org/W2103767420","https://openalex.org/W4205899500","https://openalex.org/W2170532137","https://openalex.org/W4323657011","https://openalex.org/W2491286475","https://openalex.org/W2051701434","https://openalex.org/W2379517759","https://openalex.org/W4386870095"],"abstract_inverted_index":{"For":[0,76],"mobile":[1],"video":[2,67],"codecs,":[3],"the":[4,17,47,53,59,64,73,87,110,143,155],"huge":[5],"energy":[6],"dissipation":[7],"for":[8,133],"external":[9],"memory":[10,70],"traffic":[11,71],"is":[12,31,58,98],"a":[13,26,79],"critical":[14],"challenge":[15],"under":[16],"battery":[18],"power":[19],"constraint.":[20],"Lossy":[21],"embedded":[22],"compression":[23,44],"(EC),":[24],"as":[25],"solution":[27],"to":[28,52,100,108,129,148],"this":[29,34,50,118],"challenge,":[30],"considered":[32],"in":[33,39,86,105,117,151],"paper.":[35],"While":[36],"previous":[37],"studies":[38],"EC":[40,104,124],"mostly":[41],"focused":[42],"on":[43],"algorithms":[45],"at":[46,72],"block":[48],"level,":[49],"work,":[51],"best":[54],"of":[55,66,82,93],"our":[56],"knowledge,":[57],"first":[60],"one":[61],"that":[62,141],"addresses":[63],"allocation":[65,140,145,157],"quality":[68,91,111,162],"and":[69,115],"frame":[74],"level.":[75],"lossy":[77,103,123],"EC,":[78],"main":[80],"difficulty":[81],"its":[83],"application":[84],"lies":[85],"error":[88],"propagation":[89],"from":[90],"degradation":[92],"reference":[94],"frames.":[95,131],"Instinctively,":[96],"it":[97],"preferred":[99],"perform":[101],"more":[102,130,160],"non-reference":[106],"frames":[107,164],"minimize":[109],"loss.":[112],"The":[113],"analysis":[114],"experiments":[116],"paper,":[119],"however,":[120],"will":[121],"show":[122],"should":[125],"actually":[126],"be":[127],"distributed":[128],"Correspondingly,":[132],"hierarchical-B":[134],"GOPs,":[135],"we":[136],"developed":[137],"an":[138],"efficient":[139],"outperforms":[142],"non-reference-only":[144],"by":[146,165],"up":[147],"4.5":[149],"dB":[150],"PSNR.":[152],"In":[153],"comparison,":[154],"proposed":[156],"also":[158],"delivers":[159],"consistent":[161],"between":[163],"having":[166],"lower":[167],"PSNR":[168],"fluctuation.":[169]},"counts_by_year":[{"year":2021,"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"}
