{"id":"https://openalex.org/W4408860911","doi":"https://doi.org/10.1109/icce63647.2025.10930026","title":"Enabling Next-Generation Consumer Experience with Feature Coding for Machines","display_name":"Enabling Next-Generation Consumer Experience with Feature Coding for Machines","publication_year":2025,"publication_date":"2025-01-11","ids":{"openalex":"https://openalex.org/W4408860911","doi":"https://doi.org/10.1109/icce63647.2025.10930026"},"language":"en","primary_location":{"id":"doi:10.1109/icce63647.2025.10930026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce63647.2025.10930026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2512.09232","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087516632","display_name":"Md Eimran Hossain Eimon","orcid":null},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Eimran Hossain Eimon","raw_affiliation_strings":["Florida Atlantic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida Atlantic University","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116805868","display_name":"Juan Merlos","orcid":null},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Juan Merlos","raw_affiliation_strings":["Florida Atlantic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida Atlantic University","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109074169","display_name":"A. G. Amitha Perera","orcid":null},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashan Perera","raw_affiliation_strings":["Florida Atlantic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida Atlantic University","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022677500","display_name":"Hari Kalva","orcid":"https://orcid.org/0000-0002-7165-5499"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hari Kalva","raw_affiliation_strings":["Florida Atlantic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida Atlantic University","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006865456","display_name":"Velibor Adzic","orcid":null},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Velibor Adzic","raw_affiliation_strings":["Florida Atlantic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida Atlantic University","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057260089","display_name":"Borko Furht","orcid":"https://orcid.org/0000-0002-3584-9659"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Borko Furht","raw_affiliation_strings":["Florida Atlantic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida Atlantic University","institution_ids":["https://openalex.org/I63772739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63772739"],"apc_list":null,"apc_paid":null,"fwci":14.3903,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.98455002,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12720","display_name":"Multimedia Communication and Technology","score":0.8607000112533569,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12720","display_name":"Multimedia Communication and Technology","score":0.8607000112533569,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.8216999769210815,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.7545999884605408,"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":0.687301516532898},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4728855490684509},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43366172909736633},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3423149287700653}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.687301516532898},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4728855490684509},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43366172909736633},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3423149287700653},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icce63647.2025.10930026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce63647.2025.10930026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2512.09232","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.09232","pdf_url":"https://arxiv.org/pdf/2512.09232","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2512.09232","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.09232","pdf_url":"https://arxiv.org/pdf/2512.09232","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408860911.pdf","grobid_xml":"https://content.openalex.org/works/W4408860911.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2962967409","https://openalex.org/W2963150697","https://openalex.org/W3116839971","https://openalex.org/W3160882100","https://openalex.org/W3202918664","https://openalex.org/W4288083516","https://openalex.org/W4308233894","https://openalex.org/W6620707391","https://openalex.org/W6675207249","https://openalex.org/W6776425805"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"As":[0],"consumer":[1],"devices":[2,76],"become":[3,16],"increasingly":[4],"intelligent":[5],"and":[6,35,54],"interconnected,":[7],"efficient":[8,51],"data":[9],"transfer":[10],"solutions":[11],"for":[12,28],"machine":[13],"tasks":[14],"have":[15],"essential.":[17],"This":[18],"paper":[19],"presents":[20],"an":[21],"overview":[22],"of":[23,33,56,94],"the":[24,38,50,87,91],"latest":[25],"Feature":[26],"Coding":[27],"Machines":[29],"(FCM)":[30],"standard,":[31],"part":[32],"MPEG-AI":[34],"developed":[36],"by":[37,48,100],"Moving":[39],"Picture":[40],"Experts":[41],"Group":[42],"(MPEG).":[43],"FCM":[44,73,88],"supports":[45],"AI-driven":[46],"applications":[47],"enabling":[49],"extraction,":[52],"compression,":[53],"transmission":[55],"intermediate":[57],"neural":[58],"network":[59],"features.":[60],"By":[61],"offloading":[62],"computationally":[63],"intensive":[64],"operations":[65],"to":[66,77,103],"base":[67],"servers":[68],"with":[69],"high":[70],"computing":[71],"resources,":[72],"allows":[74],"low-powered":[75],"leverage":[78],"large":[79],"deep":[80],"learning":[81],"models.":[82],"Experimental":[83],"results":[84],"indicate":[85],"that":[86],"standard":[89],"maintains":[90],"same":[92],"level":[93],"accuracy":[95],"while":[96],"reducing":[97],"bitrate":[98],"requirements":[99],"75.90%":[101],"compared":[102],"remote":[104],"inference.":[105]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
