{"id":"https://openalex.org/W4317419068","doi":"https://doi.org/10.1109/gcce56475.2022.10014364","title":"Inter-Feature-Map Differential Coding of Surveillance Video","display_name":"Inter-Feature-Map Differential Coding of Surveillance Video","publication_year":2022,"publication_date":"2022-10-18","ids":{"openalex":"https://openalex.org/W4317419068","doi":"https://doi.org/10.1109/gcce56475.2022.10014364"},"language":"en","primary_location":{"id":"doi:10.1109/gcce56475.2022.10014364","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcce56475.2022.10014364","pdf_url":null,"source":{"id":"https://openalex.org/S4363607800","display_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","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":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2411.00984","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038000650","display_name":"Kei Iino","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kei Iino","raw_affiliation_strings":["Waseda University,Graduate School of FSE,Tokyo,Japan","Graduate School of FSE, Waseda University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waseda University,Graduate School of FSE,Tokyo,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Graduate School of FSE, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103740597","display_name":"Miho Takahashi","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miho Takahashi","raw_affiliation_strings":["Waseda University,Graduate School of FSE,Tokyo,Japan","Graduate School of FSE, Waseda University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waseda University,Graduate School of FSE,Tokyo,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Graduate School of FSE, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025914451","display_name":"Hiroshi Watanabe","orcid":"https://orcid.org/0000-0003-1557-3015"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Watanabe","raw_affiliation_strings":["Waseda University,Graduate School of FSE,Tokyo,Japan","Graduate School of FSE, Waseda University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waseda University,Graduate School of FSE,Tokyo,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Graduate School of FSE, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074544619","display_name":"Ichiro Morinaga","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ichiro Morinaga","raw_affiliation_strings":["NTT Software Innovation Center,Tokyo,Japan","NTT Software Innovation Center, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Software Innovation Center,Tokyo,Japan","institution_ids":[]},{"raw_affiliation_string":"NTT Software Innovation Center, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036430329","display_name":"Shohei Enomoto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shohei Enomoto","raw_affiliation_strings":["NTT Software Innovation Center,Tokyo,Japan","NTT Software Innovation Center, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Software Innovation Center,Tokyo,Japan","institution_ids":[]},{"raw_affiliation_string":"NTT Software Innovation Center, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103030657","display_name":"Xu Shi","orcid":"https://orcid.org/0000-0001-9130-9289"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu Shi","raw_affiliation_strings":["NTT Software Innovation Center,Tokyo,Japan","NTT Software Innovation Center, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Software Innovation Center,Tokyo,Japan","institution_ids":[]},{"raw_affiliation_string":"NTT Software Innovation Center, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042173462","display_name":"Akira Sakamoto","orcid":"https://orcid.org/0000-0002-4646-1318"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akira Sakamoto","raw_affiliation_strings":["NTT Software Innovation Center,Tokyo,Japan","NTT Software Innovation Center, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Software Innovation Center,Tokyo,Japan","institution_ids":[]},{"raw_affiliation_string":"NTT Software Innovation Center, Tokyo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019776988","display_name":"Takeharu Eda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takeharu Eda","raw_affiliation_strings":["NTT Software Innovation Center,Tokyo,Japan","NTT Software Innovation Center, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Software Innovation Center,Tokyo,Japan","institution_ids":[]},{"raw_affiliation_string":"NTT Software Innovation Center, Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.059,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34947114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2006","issue":null,"first_page":"286","last_page":"289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9995999932289124,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9995999932289124,"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":0.9994999766349792,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9961000084877014,"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":0.7304369211196899},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6023643016815186},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4962995648384094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4589979648590088},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.4526512324810028},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41225099563598633},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07424268126487732},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06756779551506042}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7304369211196899},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6023643016815186},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4962995648384094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4589979648590088},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.4526512324810028},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41225099563598633},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07424268126487732},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06756779551506042},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/gcce56475.2022.10014364","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcce56475.2022.10014364","pdf_url":null,"source":{"id":"https://openalex.org/S4363607800","display_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","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":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2411.00984","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.00984","pdf_url":"https://arxiv.org/pdf/2411.00984","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2411.00984","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.00984","pdf_url":"https://arxiv.org/pdf/2411.00984","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/W4317419068.pdf","grobid_xml":"https://content.openalex.org/works/W4317419068.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W46948191","https://openalex.org/W2004954329","https://openalex.org/W2146395539","https://openalex.org/W2572102653","https://openalex.org/W2605258629","https://openalex.org/W2963770864","https://openalex.org/W3160073521","https://openalex.org/W3162473050","https://openalex.org/W3163253220","https://openalex.org/W3202732536","https://openalex.org/W4235435541","https://openalex.org/W4248375863","https://openalex.org/W4293584584","https://openalex.org/W6601908271","https://openalex.org/W6750227808"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"In":[0,66],"Collaborative":[1],"Intelligence,":[2],"a":[3,25,64,71,89],"deep":[4],"neural":[5],"network":[6],"(DNN)":[7],"is":[8,28,63,111,125],"partitioned":[9],"and":[10,15,21],"deployed":[11],"at":[12],"the":[13,16,36,40,43,49,61,75,99,103],"edge":[14],"cloud":[17],"for":[18,114],"bandwidth":[19],"saving":[20],"system":[22],"optimization.":[23],"When":[24],"model":[26],"input":[27,50,62,100],"an":[29],"image,":[30],"it":[31],"has":[32,56],"been":[33,58],"confirmed":[34],"that":[35,116],"intermediate":[37],"feature":[38,76],"map,":[39],"output":[41],"from":[42],"edge,":[44],"can":[45],"be":[46],"smaller":[47],"than":[48],"data":[51],"size.":[52],"However,":[53],"its":[54],"effectiveness":[55],"not":[57],"reported":[59],"when":[60,123],"video.":[65],"this":[67],"study,":[68],"we":[69],"propose":[70],"method":[72,110],"to":[73,98,119],"compress":[74],"map":[77],"of":[78,105],"surveillance":[79],"videos":[80,115],"by":[81],"applying":[82],"inter-feature-map":[83],"differential":[84],"coding":[85],"(IFMDC).":[86],"IFMDC":[87],"shows":[88],"compression":[90],"ratio":[91],"comparable":[92],"to,":[93],"or":[94],"better":[95],"than,":[96],"HEVC":[97,124],"video":[101],"in":[102],"case":[104],"small":[106],"accuracy":[107],"reduction.":[108],"Our":[109],"especially":[112],"effective":[113],"are":[117],"sensitive":[118],"image":[120],"quality":[121],"degradation":[122],"applied.":[126]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}