{"id":"https://openalex.org/W4405868504","doi":"https://doi.org/10.1145/3696409.3700250","title":"HFS-HNeRV: High-Frequency Spectrum Hybrid Neural Representation for Videos","display_name":"HFS-HNeRV: High-Frequency Spectrum Hybrid Neural Representation for Videos","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4405868504","doi":"https://doi.org/10.1145/3696409.3700250"},"language":"en","primary_location":{"id":"doi:10.1145/3696409.3700250","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696409.3700250","pdf_url":null,"source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM International Conference on Multimedia in Asia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3696409.3700250","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103295231","display_name":"Jianhua Zhao","orcid":"https://orcid.org/0009-0004-3869-5108"},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Jianhua Zhao","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland, NZ"],"raw_orcid":"https://orcid.org/0009-0004-3869-5108","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland, NZ","institution_ids":["https://openalex.org/I39854758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084113245","display_name":"Xue Jun Li","orcid":"https://orcid.org/0000-0003-2241-0767"},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Xue Jun Li","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland, NZ"],"raw_orcid":"https://orcid.org/0000-0003-2241-0767","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland, NZ","institution_ids":["https://openalex.org/I39854758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089805066","display_name":"Peter Han Joo Chong","orcid":"https://orcid.org/0000-0002-5375-8961"},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Peter Han Joo Chong","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland, NZ"],"raw_orcid":"https://orcid.org/0000-0002-5375-8961","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland, NZ","institution_ids":["https://openalex.org/I39854758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39854758"],"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":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9980999827384949,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6172634959220886},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5360472798347473},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.500359296798706},{"id":"https://openalex.org/keywords/frequency-spectrum","display_name":"Frequency spectrum","score":0.48340335488319397},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37362849712371826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36955171823501587},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.18264919519424438},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16190868616104126},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1596147119998932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6172634959220886},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5360472798347473},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.500359296798706},{"id":"https://openalex.org/C122381330","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Frequency spectrum","level":3,"score":0.48340335488319397},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37362849712371826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36955171823501587},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.18264919519424438},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16190868616104126},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1596147119998932},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3696409.3700250","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696409.3700250","pdf_url":null,"source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM International Conference on Multimedia in Asia","raw_type":"proceedings-article"},{"id":"pmh:oai:openrepository.aut.ac.nz:10292/18618","is_oa":true,"landing_page_url":"http://hdl.handle.net/10292/18618","pdf_url":null,"source":{"id":"https://openalex.org/S4306401809","display_name":"Tuwhera (Auckland University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39854758","host_organization_name":"Auckland University of Technology","host_organization_lineage":["https://openalex.org/I39854758"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Contribution"}],"best_oa_location":{"id":"doi:10.1145/3696409.3700250","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696409.3700250","pdf_url":null,"source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM International Conference on Multimedia in Asia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W2134809980","https://openalex.org/W2242218935","https://openalex.org/W2476548250","https://openalex.org/W2769654144","https://openalex.org/W2787227205","https://openalex.org/W2791770892","https://openalex.org/W2895361760","https://openalex.org/W2904156796","https://openalex.org/W2962927175","https://openalex.org/W2963470893","https://openalex.org/W2963704386","https://openalex.org/W2970835139","https://openalex.org/W3014447010","https://openalex.org/W3020741905","https://openalex.org/W3034475761","https://openalex.org/W3034739872","https://openalex.org/W3035195755","https://openalex.org/W3035515538","https://openalex.org/W3095671795","https://openalex.org/W3102015846","https://openalex.org/W3104962140","https://openalex.org/W3138525858","https://openalex.org/W3140413839","https://openalex.org/W3161404786","https://openalex.org/W3163669399","https://openalex.org/W3174865552","https://openalex.org/W3176148916","https://openalex.org/W4200150166","https://openalex.org/W4312796583","https://openalex.org/W4386065618","https://openalex.org/W4386076489","https://openalex.org/W4400914133"],"related_works":["https://openalex.org/W2389102677","https://openalex.org/W2381817933","https://openalex.org/W2367436654","https://openalex.org/W2375035276","https://openalex.org/W2168258490","https://openalex.org/W2161497134","https://openalex.org/W2154168811","https://openalex.org/W2355303315","https://openalex.org/W4300183508","https://openalex.org/W1966080132"],"abstract_inverted_index":{"Implicit":[0],"neural":[1,30],"representations":[2],"have":[3],"recently":[4],"demonstrated":[5],"considerable":[6],"potential":[7],"in":[8,67,79,152,166,176,243],"various":[9],"applications,":[10],"including":[11],"video":[12,68,153,220],"compression":[13,221],"and":[14,22,41,53,129,170,230,240],"reconstruction,":[15],"owing":[16],"to":[17,101,122,187,202],"their":[18],"rapid":[19],"decoding":[20],"speed":[21],"high":[23],"adaptability.":[24],"Based":[25],"on":[26,76],"the":[27,55,61,80,98,116,123,134,148,159,196,205,210,219,223],"most":[28],"advanced":[29],"representation":[31],"for":[32,38,45],"Videos":[33,39,46],"(NeRV),":[34],"Expedite":[35],"Neural":[36,43],"Representation":[37,44],"(E-NeRV)":[40],"Hybrid":[42,89],"(H-NeRV)":[47],"primarily":[48],"boost":[49],"performance":[50,165],"by":[51,209],"enhancing":[52],"broadening":[54],"NeRV":[56,62,112,160,181],"network\u2019s":[57],"embedded":[58],"input,":[59],"whereas":[60],"module\u2014the":[63],"central":[64],"component":[65],"involved":[66],"reconstruction\u2014has":[69],"attracted":[70],"less":[71],"attention.":[72],"With":[73],"a":[74,86,110,177],"focus":[75],"high-frequency":[77,95,117,131,213],"data":[78,96],"frequency":[81,99,135],"domain,":[82],"this":[83,192],"paper":[84,193],"proposes":[85],"High-frequency":[87,197],"Spectrum":[88,198],"Network":[90],"(HFS-HNeRV),":[91],"which":[92,114,139],"adopts":[93],"effective":[94],"from":[97],"domain":[100,136],"generate":[102],"image":[103,216],"details.":[104],"Its":[105],"core,":[106],"HFS-HNeRV":[107,225],"block,":[108],"is":[109],"novel":[111],"module,":[113,161],"adds":[115],"spectrum":[118],"convolution":[119],"module":[120,127],"(HFSCM)":[121],"original":[124],"one.":[125],"This":[126],"extracts":[128],"emphasizes":[130],"features":[132],"through":[133],"attention":[137],"mechanism,":[138],"not":[140],"only":[141],"provides":[142],"superior":[143],"performance,":[144],"but":[145],"also":[146,194],"enhances":[147],"local":[149],"detail":[150],"recovery":[151],"images.":[154],"As":[155],"an":[156,233],"upgrade":[157],"of":[158,168,179,212,235],"it":[162],"has":[163],"exceptional":[164],"terms":[167],"adaptability":[169],"versatility.":[171],"It":[172],"can":[173],"conveniently":[174],"substitute":[175],"variety":[178],"current":[180],"designs":[182],"without":[183],"requiring":[184],"significant":[185],"alterations":[186],"attain":[188],"enhanced":[189],"performance.":[190],"Furthermore,":[191],"introduces":[195],"(HFS)":[199],"loss":[200,211],"function":[201],"further":[203],"mitigate":[204],"blurriness":[206],"issue":[207],"caused":[208],"information":[214],"during":[215],"generation.":[217],"In":[218],"task,":[222],"proposed":[224],"network":[226],"outperformed":[227],"NeRV,":[228],"E-NeRV":[229],"HNeRV":[231],"with":[232],"improvement":[234],"+5.68":[236],"dB,":[237,239],"+4.46":[238],"+0.98":[241],"dB":[242],"reconstruction":[244],"quality":[245],"(PSNR),":[246],"respectively.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}