{"id":"https://openalex.org/W4379874867","doi":"https://doi.org/10.1145/3587819.3590974","title":"Deep Feature Compression with Rate-Distortion Optimization for Networked Camera Systems","display_name":"Deep Feature Compression with Rate-Distortion Optimization for Networked Camera Systems","publication_year":2023,"publication_date":"2023-06-07","ids":{"openalex":"https://openalex.org/W4379874867","doi":"https://doi.org/10.1145/3587819.3590974"},"language":"en","primary_location":{"id":"doi:10.1145/3587819.3590974","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3587819.3590974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM Multimedia Systems Conference","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/A5085371560","display_name":"Ademola Ikusan","orcid":"https://orcid.org/0000-0003-3933-6348"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ademola Ikusan","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, USA","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101751030","display_name":"Rui Dai","orcid":"https://orcid.org/0000-0001-6620-7862"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rui Dai","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, USA","institution_ids":["https://openalex.org/I63135867"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085371560"],"corresponding_institution_ids":["https://openalex.org/I63135867"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05191999,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"86","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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":0.9993000030517578,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9990000128746033,"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":0.6823997497558594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5778757333755493},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5701139569282532},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.538196861743927},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.522070586681366},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5204967856407166},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.4415156841278076},{"id":"https://openalex.org/keywords/rate\u2013distortion-optimization","display_name":"Rate\u2013distortion optimization","score":0.4339730441570282},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.412162721157074},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12013071775436401},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10451817512512207},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.09921804070472717},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.09415629506111145},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.08788079023361206},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06754595041275024}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6823997497558594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5778757333755493},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5701139569282532},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.538196861743927},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.522070586681366},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5204967856407166},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.4415156841278076},{"id":"https://openalex.org/C50056821","wikidata":"https://www.wikidata.org/wiki/Q774502","display_name":"Rate\u2013distortion optimization","level":5,"score":0.4339730441570282},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.412162721157074},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12013071775436401},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10451817512512207},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.09921804070472717},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.09415629506111145},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.08788079023361206},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06754595041275024},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3587819.3590974","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3587819.3590974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM Multimedia Systems Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1128809682","https://openalex.org/W1556531089","https://openalex.org/W1749322010","https://openalex.org/W2004277883","https://openalex.org/W2060892701","https://openalex.org/W2098181012","https://openalex.org/W2108598243","https://openalex.org/W2117532751","https://openalex.org/W2146395539","https://openalex.org/W2183182206","https://openalex.org/W2211629196","https://openalex.org/W2330219538","https://openalex.org/W2573358500","https://openalex.org/W2613172915","https://openalex.org/W2623912370","https://openalex.org/W2802501778","https://openalex.org/W2884051051","https://openalex.org/W2962790536","https://openalex.org/W2963770864","https://openalex.org/W2964191079","https://openalex.org/W2975749976","https://openalex.org/W2981749440","https://openalex.org/W3166030101"],"related_works":["https://openalex.org/W3006218813","https://openalex.org/W2612632602","https://openalex.org/W3013747218","https://openalex.org/W2321805087","https://openalex.org/W2103981088","https://openalex.org/W2036627798","https://openalex.org/W2130619568","https://openalex.org/W2389207674","https://openalex.org/W2123455425","https://openalex.org/W2028129776"],"abstract_inverted_index":{"Deep-learning-based":[0],"video":[1,64,131,194],"analysis":[2],"solutions":[3],"have":[4],"become":[5],"indispensable":[6],"components":[7],"in":[8],"today's":[9],"intelligent":[10],"sensing":[11],"applications.":[12],"In":[13],"a":[14,80,96,106,129],"networked":[15],"camera":[16],"system,":[17],"an":[18],"efficient":[19],"way":[20],"to":[21,27,45,74,99,163],"analyze":[22],"the":[23,29,43,62,66,87,92,101,134,165,179,187,191],"captured":[24],"videos":[25],"is":[26,110,161],"extract":[28],"features":[30,44,90,118],"for":[31,49,85,143],"deep":[32,89,181],"learning":[33],"at":[34],"local":[35],"cameras":[36],"or":[37],"edge":[38],"devices":[39],"and":[40,125,153],"then":[41,120],"transmit":[42],"powerful":[46],"processing":[47],"hubs":[48],"further":[50,126],"analysis.":[51],"As":[52],"there":[53],"exists":[54],"substantial":[55],"redundancy":[56,102],"among":[57,103],"different":[58,104],"feature":[59,67,107,182],"maps":[60,68],"from":[61,91],"same":[63],"frame,":[65],"could":[69],"be":[70],"compressed":[71,127],"before":[72],"transmission":[73],"save":[75],"bandwidth.":[76],"This":[77],"paper":[78],"introduces":[79],"new":[81],"rate-distortion":[82,138,158],"optimized":[83],"framework":[84,136,184],"compressing":[86],"intermediate":[88],"key":[93],"frames":[94],"of":[95,167],"video.":[97],"First,":[98],"reduce":[100],"features,":[105],"selection":[108],"strategy":[109],"designed":[111,162],"based":[112],"on":[113],"hierarchical":[114],"clustering.":[115],"The":[116],"selected":[117],"are":[119,141],"quantized,":[121],"repacked":[122],"as":[123],"videos,":[124],"using":[128],"standardized":[130],"encoder.":[132,195],"Furthermore,":[133],"proposed":[135,180],"incorporates":[137],"models":[139],"that":[140,178],"built":[142],"three":[144],"representative":[145],"computer":[146,169],"vision":[147,170],"tasks:":[148],"image":[149,151,154],"classification,":[150],"segmentation,":[152],"retrieval.":[155],"A":[156],"corresponding":[157],"optimization":[159],"module":[160],"enhance":[164],"performance":[166,189],"common":[168],"tasks":[171],"under":[172],"rate":[173],"constraints.":[174],"Experimental":[175],"results":[176],"show":[177],"compression":[183,188],"can":[185],"boost":[186],"over":[190],"standard":[192],"HEVC":[193]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
