{"id":"https://openalex.org/W4290097411","doi":"https://doi.org/10.1145/3524273.3528178","title":"Context-aware image compression optimization for visual analytics offloading","display_name":"Context-aware image compression optimization for visual analytics offloading","publication_year":2022,"publication_date":"2022-06-14","ids":{"openalex":"https://openalex.org/W4290097411","doi":"https://doi.org/10.1145/3524273.3528178"},"language":"en","primary_location":{"id":"doi:10.1145/3524273.3528178","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524273.3528178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th 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/A5100427322","display_name":"Bo Chen","orcid":"https://orcid.org/0000-0002-2780-7141"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bo Chen","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079908662","display_name":"Zhisheng Yan","orcid":"https://orcid.org/0000-0002-6722-5517"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhisheng Yan","raw_affiliation_strings":["George Mason University"],"affiliations":[{"raw_affiliation_string":"George Mason University","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074224097","display_name":"Klara Nahrstedt","orcid":"https://orcid.org/0000-0001-6813-3043"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Klara Nahrstedt","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100427322"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":2.345,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.89934732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"27","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T11019","display_name":"Image Enhancement Techniques","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/T11605","display_name":"Visual Attention and Saliency Detection","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8583140969276428},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6183479428291321},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6165061593055725},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4749985933303833},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.47321978211402893},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4554935395717621},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.4318939745426178},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4256371855735779},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4106069505214691},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2749359607696533},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.20170876383781433},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.182733952999115},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16934967041015625},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.13479822874069214},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10079041123390198}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8583140969276428},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6183479428291321},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6165061593055725},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4749985933303833},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.47321978211402893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4554935395717621},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4318939745426178},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4256371855735779},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4106069505214691},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2749359607696533},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.20170876383781433},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.182733952999115},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16934967041015625},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.13479822874069214},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10079041123390198}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3524273.3528178","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524273.3528178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM Multimedia Systems Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1637379582","display_name":null,"funder_award_id":"W911NF-17-2-0196","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1475617732","https://openalex.org/W1532362218","https://openalex.org/W1533496907","https://openalex.org/W1536680647","https://openalex.org/W1569753066","https://openalex.org/W1861492603","https://openalex.org/W2095537868","https://openalex.org/W2099563019","https://openalex.org/W2117228865","https://openalex.org/W2125763038","https://openalex.org/W2126105956","https://openalex.org/W2133015261","https://openalex.org/W2140196014","https://openalex.org/W2145180784","https://openalex.org/W2163479900","https://openalex.org/W2194775991","https://openalex.org/W2325939864","https://openalex.org/W2534788641","https://openalex.org/W2562896936","https://openalex.org/W2872933037","https://openalex.org/W2954234207","https://openalex.org/W2963037989","https://openalex.org/W2965289829","https://openalex.org/W2981613960","https://openalex.org/W3028156784","https://openalex.org/W3046256272","https://openalex.org/W3046754651","https://openalex.org/W3109233295","https://openalex.org/W3210311771","https://openalex.org/W4250690514"],"related_works":["https://openalex.org/W3154796165","https://openalex.org/W2521595930","https://openalex.org/W4243608781","https://openalex.org/W3165542721","https://openalex.org/W4313046148","https://openalex.org/W1939109514","https://openalex.org/W4378191574","https://openalex.org/W2129829718","https://openalex.org/W1843792225","https://openalex.org/W2751842002"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Networks":[2],"(CNN)":[3],"have":[4],"given":[5],"rise":[6],"to":[7,28,34,48,70,101,122,147,167,208,224],"numerous":[8],"visual":[9,53,68,105,133,152,177],"analytics":[10,32,54,98,106,134,153,178,190,213],"applications":[11],"at":[12],"the":[13,16,35,65,74,83,95,124,132,169,184,199,218],"edge":[14,29],"of":[15,38,67,77,97,171,202,217],"Internet.":[17],"The":[18],"image":[19,61,90,111,157,165,173],"is":[20,60],"typically":[21],"captured":[22],"by":[23,161,206],"cameras":[24],"and":[25,51,72,88,150,189],"then":[26],"live-streamed":[27],"servers":[30],"for":[31,80,104,159,175],"due":[33],"prohibitive":[36],"cost":[37],"running":[39],"CNN":[40],"on":[41],"computation-constrained":[42],"end":[43],"devices.":[44],"A":[45],"critical":[46],"component":[47],"ensure":[49],"low-latency":[50,151,219],"accurate":[52],"offloading":[55,135,160],"over":[56,228],"low":[57],"bandwidth":[58,200],"networks":[59],"compression":[62,91,103,112,158,187,204,230],"that":[63,196],"minimizes":[64],"amount":[66],"data":[69],"offload":[71],"maximizes":[73],"decoding":[75],"quality":[76],"salient":[78],"pixels":[79],"analytics.":[81],"Despite":[82],"wide":[84],"adoption,":[85],"JPEG":[86],"standard":[87],"traditional":[89],"do":[92],"not":[93],"address":[94],"accuracy":[96],"tasks,":[99],"leading":[100],"ineffective":[102],"offloading.":[107,154],"Although":[108],"recent":[109],"machine-centric":[110],"techniques":[113],"leverage":[114],"sophisticated":[115],"neural":[116],"network":[117],"models":[118],"or":[119],"hardware":[120],"architecture":[121],"support":[123],"accuracy-bandwidth":[125],"trade-off,":[126],"they":[127],"introduce":[128],"excessive":[129],"latency":[130],"in":[131],"pipeline.":[136],"This":[137],"paper":[138],"presents":[139],"CICO,":[140],"a":[141,176,211,225],"Context-aware":[142],"Image":[143],"Compression":[144],"Optimization":[145],"framework":[146],"achieve":[148],"low-bandwidth":[149],"CICO":[155,181,197,221],"contextualizes":[156],"employing":[162],"easily-computable":[163],"low-level":[164],"features":[166],"understand":[168],"importance":[170],"different":[172],"regions":[174],"task.":[179],"Accordingly,":[180],"can":[182],"optimize":[183],"trade-off":[185],"between":[186],"size":[188],"accuracy.":[191,214],"Extensive":[192],"real-world":[193],"experiments":[194],"demonstrate":[195],"reduces":[198],"consumption":[201],"existing":[203],"methods":[205],"up":[207,223],"40%":[209],"under":[210],"comparable":[212],"In":[215],"terms":[216],"support,":[220],"achieves":[222],"2x":[226],"speedup":[227],"state-of-the-art":[229],"techniques.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2025-10-10T00:00:00"}
