{"id":"https://openalex.org/W4290973806","doi":"https://doi.org/10.1109/icc45855.2022.9838913","title":"An Adaptive High-Fidelity Image Compression Framework for Internet of Vehicles","display_name":"An Adaptive High-Fidelity Image Compression Framework for Internet of Vehicles","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4290973806","doi":"https://doi.org/10.1109/icc45855.2022.9838913"},"language":"en","primary_location":{"id":"doi:10.1109/icc45855.2022.9838913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838913","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","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/A5016091962","display_name":"Ahmed Gad","orcid":"https://orcid.org/0000-0001-8265-0434"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ahmed Gad","raw_affiliation_strings":["University of Ottawa,School of Electrical Engineering and Computer Science,Canada","School of Electrical Engineering and Computer Science, University of Ottawa, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ottawa,School of Electrical Engineering and Computer Science,Canada","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048076896","display_name":"Amiya Nayak","orcid":"https://orcid.org/0000-0002-4605-0500"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Amiya Nayak","raw_affiliation_strings":["University of Ottawa,School of Electrical Engineering and Computer Science,Canada","School of Electrical Engineering and Computer Science, University of Ottawa, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ottawa,School of Electrical Engineering and Computer Science,Canada","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"401","last_page":"406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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":0.9994000196456909,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6841204166412354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6840470433235168},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5561102628707886},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.5524975061416626},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5218854546546936},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5153995752334595},{"id":"https://openalex.org/keywords/bit-rate","display_name":"Bit rate","score":0.44694918394088745},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.4438782036304474},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.44347286224365234},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44073018431663513},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42980867624282837},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.42905810475349426},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4255768060684204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42336422204971313},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3872012495994568},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2918970286846161},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.28807851672172546},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12721943855285645},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.1146436333656311},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09272751212120056}],"concepts":[{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6841204166412354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6840470433235168},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5561102628707886},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.5524975061416626},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5218854546546936},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5153995752334595},{"id":"https://openalex.org/C2987812609","wikidata":"https://www.wikidata.org/wiki/Q194158","display_name":"Bit rate","level":2,"score":0.44694918394088745},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.4438782036304474},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.44347286224365234},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44073018431663513},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42980867624282837},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.42905810475349426},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4255768060684204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42336422204971313},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3872012495994568},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2918970286846161},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.28807851672172546},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12721943855285645},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.1146436333656311},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09272751212120056},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc45855.2022.9838913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838913","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2264175841","https://openalex.org/W2778363563","https://openalex.org/W2787052540","https://openalex.org/W2796210376","https://openalex.org/W2805457650","https://openalex.org/W2948654165","https://openalex.org/W2981613960","https://openalex.org/W2999899230","https://openalex.org/W3036682213","https://openalex.org/W4288624536","https://openalex.org/W6620707391","https://openalex.org/W6758867260","https://openalex.org/W6780365925"],"related_works":["https://openalex.org/W2367682000","https://openalex.org/W1990962661","https://openalex.org/W2477820509","https://openalex.org/W2029013679","https://openalex.org/W4283718665","https://openalex.org/W2054001049","https://openalex.org/W2557202938","https://openalex.org/W3041570560","https://openalex.org/W2012915895","https://openalex.org/W4290973806"],"abstract_inverted_index":{"This":[0,25,68],"paper":[1],"proposes":[2],"a":[3,12,21,41,64,102,137],"new":[4],"adaptive":[5],"high-fidelity":[6],"image":[7,39,59,134],"compression":[8,14,114],"solution":[9],"to":[10,45,112],"achieve":[11,101],"high":[13,42],"ratio":[15],"with":[16,40,63,96],"the":[17,30,34,38,47,73,82,86,93,97,106,113,118,123,131],"least":[18],"distortion":[19],"using":[20],"generative":[22],"adversarial":[23],"network.":[24],"work":[26,69,91,129],"focuses":[27],"on":[28,81],"preserving":[29],"details":[31],"by":[32,120,136],"compressing":[33],"salient":[35],"regions":[36],"in":[37],"bit":[43,66,104,126],"rate":[44,84,119,132],"guarantee":[46],"generation":[48],"of":[49,55,133,139],"high-quality":[50],"outputs":[51],"that":[52,89],"sustain":[53],"most":[54],"its":[56],"characteristics.":[57],"The":[58],"background":[60],"is":[61,70,110],"compressed":[62],"lower":[65,103],"rate.":[67,99],"tested":[71],"against":[72],"Kodak,":[74],"CLIC,":[75],"MOTS,":[76],"and":[77],"UADTV":[78],"datasets":[79],"based":[80],"bit-per-pixel":[83],"where":[85],"results":[87],"prove":[88],"our":[90,128],"achieves":[92],"highest":[94],"quality":[95],"lowest":[98],"To":[100],"rate,":[105,127],"arithmetic":[107],"coding":[108],"algorithm":[109],"applied":[111],"sequence":[115],"which":[116],"reduces":[117],"35%.":[121],"With":[122],"achieved":[124],"low":[125],"boosts":[130],"transmission":[135],"factor":[138],"more":[140],"than":[141],"2.":[142]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}