{"id":"https://openalex.org/W2940360954","doi":"https://doi.org/10.1109/tii.2019.2911708","title":"SHVC CU Processing Aided by a Feedforward Neural Network","display_name":"SHVC CU Processing Aided by a Feedforward Neural Network","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2940360954","doi":"https://doi.org/10.1109/tii.2019.2911708","mag":"2940360954"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2019.2911708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2019.2911708","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-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/A5048268082","display_name":"Liquan Shen","orcid":"https://orcid.org/0000-0002-2148-6279"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liquan Shen","raw_affiliation_strings":["Shanghai Institute for Advanced Communication and Data Science and the Key Laboratory of Advanced Display and System Application, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2148-6279","affiliations":[{"raw_affiliation_string":"Shanghai Institute for Advanced Communication and Data Science and the Key Laboratory of Advanced Display and System Application, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043596876","display_name":"Guorui Feng","orcid":"https://orcid.org/0000-0001-8249-2608"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guorui Feng","raw_affiliation_strings":["Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060120489","display_name":"Ping An","orcid":"https://orcid.org/0000-0002-4995-728X"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping An","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4995-728X","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":1.1688,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78592732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"15","issue":"11","first_page":"5803","last_page":"5815"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":1.0,"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":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9968000054359436,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9962000250816345,"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":0.704223096370697},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6859044432640076},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6335052251815796},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.5608319640159607},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.44941624999046326},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.42716333270072937},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42313677072525024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34490594267845154},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13504058122634888},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08056902885437012}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.704223096370697},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6859044432640076},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6335052251815796},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.5608319640159607},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.44941624999046326},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.42716333270072937},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42313677072525024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34490594267845154},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13504058122634888},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08056902885437012},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2019.2911708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2019.2911708","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G3402733319","display_name":"\u57fa\u4e8e\u4e3b\u89c2\u8d28\u91cf\u8bc4\u4ef7\u6a21\u578b\u7684\u5c4f\u5e55\u89c6\u9891\u9ad8\u6548\u7f16\u7801\u7814\u7a76","funder_award_id":"61671282","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5013601967","display_name":null,"funder_award_id":"61422111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1482852837","https://openalex.org/W1502757970","https://openalex.org/W1975436487","https://openalex.org/W1977921104","https://openalex.org/W2007601879","https://openalex.org/W2009047869","https://openalex.org/W2019700184","https://openalex.org/W2021945017","https://openalex.org/W2033625707","https://openalex.org/W2034544479","https://openalex.org/W2057403270","https://openalex.org/W2076843925","https://openalex.org/W2103709441","https://openalex.org/W2109519887","https://openalex.org/W2111838470","https://openalex.org/W2135719924","https://openalex.org/W2143280488","https://openalex.org/W2145315754","https://openalex.org/W2146395539","https://openalex.org/W2156559424","https://openalex.org/W2182969787","https://openalex.org/W2293682293","https://openalex.org/W2298523098","https://openalex.org/W2332049244","https://openalex.org/W2518546937","https://openalex.org/W2746576201","https://openalex.org/W2791862227","https://openalex.org/W2921674128","https://openalex.org/W2979673094","https://openalex.org/W4239510810","https://openalex.org/W6669644042","https://openalex.org/W6679969125"],"related_works":["https://openalex.org/W2286391053","https://openalex.org/W2982600058","https://openalex.org/W1963486701","https://openalex.org/W2312483540","https://openalex.org/W4249477090","https://openalex.org/W191745111","https://openalex.org/W1522083559","https://openalex.org/W2007570603","https://openalex.org/W2366163563","https://openalex.org/W2163885456"],"abstract_inverted_index":{"The":[0],"development":[1],"of":[2,13,48,87,108,115,177,229,242,300,330],"multimedia":[3],"and":[4,24,31,51,95,127,162,173,217,261,277,291],"hardware":[5],"technologies":[6],"has":[7,76],"led":[8],"to":[9,43,64,92,103,140,181,222,247,263,281],"a":[10,45,77,153,226],"great":[11,78],"number":[12,228],"industrial":[14,37,39,84],"video":[15,22,57,230,309,333],"applications,":[16,38],"such":[17],"as":[18],"virtual":[19],"reality,":[20],"high-definition":[21],"surveillance,":[23],"remote":[25],"monitoring.":[26],"As":[27],"complex":[28],"communication":[29],"environments":[30],"heterogeneous":[32],"networks":[33],"are":[34,41,90,101,132,203,209,235,259,271,294],"common":[35],"in":[36,83,211],"videos":[40],"required":[42,102],"support":[44],"diverse":[46],"range":[47],"display":[49],"resolutions":[50],"transmission":[52],"channel":[53],"capacities.":[54],"Scalable":[55],"high-efficiency":[56],"coding":[58,117,171,175,240,310,316],"(SHVC)":[59],"standards":[60],"provide":[61],"the":[62,105,125,143,174,212,223,232,239,252,274,305,328],"tools":[63],"meet":[65],"this":[66,149],"requirement.":[67],"However,":[68],"it":[69],"is":[70,121,254],"highly":[71],"computationally":[72],"expensive.":[73],"Coding":[74],"complexity":[75],"impact":[79],"on":[80],"SHVC":[81,109,112],"performance":[82],"applications.":[85],"Many":[86],"these":[88,256],"applications":[89],"sensitive":[91],"time":[93,317],"delay":[94],"have":[96],"limited":[97],"power.":[98],"Thus,":[99],"improvements":[100],"ensure":[104],"practical":[106],"usability":[107],"encoders.":[110],"In":[111,148],"encoders,":[113],"intra/interprediction":[114],"variable":[116],"unit":[118],"(CU)":[119],"sizes":[120,185,290],"independently":[122],"performed":[123],"for":[124,145,159,165,192,205,214,273,297,327],"base":[126,169],"enhancement":[128],"layers":[129],"(ELs).":[130],"There":[131],"many":[133],"interlayer":[134],"similarities":[135],"that":[136],"can":[137,189],"be":[138,190,325],"exploited":[139],"speed":[141],"up":[142],"procedure":[144],"EL":[146,194],"coding.":[147,334],"paper,":[150],"we":[151],"propose":[152],"feedforward":[154,197],"neural":[155,198],"network":[156,199],"aided":[157],"model":[158],"CU":[160,184,206,215,275,289],"size":[161,216,276],"mode":[163,218,278],"decisions":[164],"SHVC,":[166],"which":[167,183,208,323],"utilizes":[168],"layer":[170],"information":[172,241],"data":[176],"spatiotemporal":[178],"neighboring":[179,245],"CUs":[180,246],"decide":[182],"or":[186,319],"prediction":[187,292],"modes":[188,293],"bypassed":[191],"certain":[193],"CUs.":[195],"Two":[196],"based":[200],"learning":[201],"models":[202,258],"built":[204],"classification,":[207],"introduced":[210],"procedures":[213,280],"decisions,":[219],"respectively.":[220],"According":[221],"analysis":[224],"from":[225,238],"large":[227],"sequences,":[231],"representative":[233],"features":[234],"directly":[236],"extracted":[237],"previously":[243],"coded":[244],"avoid":[248],"computational":[249],"overheads.":[250],"After":[251],"training":[253],"finished,":[255],"two":[257,267],"designed":[260,272],"integrated":[262],"build":[264],"classifiers.":[265],"Then,":[266],"online":[268],"classification":[269],"approaches":[270],"decision":[279],"classify":[282],"each":[283,298],"CU's":[284],"type.":[285],"Finally,":[286],"different":[287],"candidate":[288],"adaptively":[295],"assigned":[296],"type":[299],"CU.":[301],"This":[302],"approach":[303],"outperforms":[304],"state-of-the-art":[306],"fast":[307],"SHVC/high-efficiency":[308],"(HEVC)":[311],"algorithms":[312],"with":[313],"approximately":[314],"19-42%":[315],"savings":[318],"better":[320],"compression":[321],"efficiency,":[322],"will":[324],"beneficial":[326],"realization":[329],"real-time":[331],"scalable":[332]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
