{"id":"https://openalex.org/W4399837152","doi":"https://doi.org/10.48550/arxiv.2406.12367","title":"Competitive Learning for Achieving Content-specific Filters in Video\n Coding for Machines","display_name":"Competitive Learning for Achieving Content-specific Filters in Video\n Coding for Machines","publication_year":2024,"publication_date":"2024-06-18","ids":{"openalex":"https://openalex.org/W4399837152","doi":"https://doi.org/10.48550/arxiv.2406.12367"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2406.12367","pdf_url":"https://arxiv.org/pdf/2406.12367","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2406.12367","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100671939","display_name":"Honglei Zhang","orcid":"https://orcid.org/0000-0002-8229-852X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Honglei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028336376","display_name":"Jukka Ahonen","orcid":"https://orcid.org/0000-0003-1683-4475"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahonen, Jukka I.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768610","display_name":"Nam Le","orcid":"https://orcid.org/0000-0002-9722-3790"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le, Nam","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017297450","display_name":"Ruiying Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Ruiying","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5049106121","display_name":"Francesco Cricri","orcid":"https://orcid.org/0000-0002-1521-420X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cricri, Francesco","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":83},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9742,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9742,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9693,"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":0.9639,"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":[],"concepts":[{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6050361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.54297477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14557725},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09728575}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2406.12367","pdf_url":"https://arxiv.org/pdf/2406.12367","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2406.12367","pdf_url":"https://arxiv.org/pdf/2406.12367","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4396701345","https://openalex.org/W4396696052","https://openalex.org/W4395014643","https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2382290278","https://openalex.org/W2376932109","https://openalex.org/W2358668433","https://openalex.org/W2001405890"],"abstract_inverted_index":{"This":[0,47],"paper":[1],"investigates":[2],"the":[3,62,66,85,91,115,139,143,150,177,186,201,206],"efficacy":[4],"of":[5,93,117,176,188,208],"jointly":[6,189],"optimizing":[7,190],"content-specific":[8,118],"post-processing":[9,104],"filters":[10,53,105,119,191],"to":[11,52,89,157,170],"adapt":[12],"a":[13,19,38,56,77,81,100,107],"human":[14],"oriented":[15],"video/image":[16,32,209],"codec":[17,20,112],"into":[18],"suitable":[21],"for":[22,161,192,203],"machine":[23],"vision":[24],"tasks.":[25],"By":[26],"observing":[27],"that":[28],"artifacts":[29],"produced":[30],"by":[31,70],"codecs":[33],"are":[34,128],"content-dependent,":[35],"we":[36,75],"propose":[37],"novel":[39],"training":[40,50],"strategy":[41,48],"based":[42],"on":[43,65,99,142],"competitive":[44],"learning":[45],"principles.":[46],"assigns":[49],"samples":[51],"dynamically,":[54],"in":[55,130,149],"fuzzy":[57],"manner,":[58],"which":[59],"further":[60,204],"optimizes":[61],"winning":[63],"filter":[64,178],"given":[67],"sample.":[68],"Inspired":[69],"simulated":[71],"annealing":[72],"optimization":[73],"techniques,":[74],"employ":[76],"softmax":[78],"function":[79,88],"with":[80,121,181],"temperature":[82],"variable":[83],"as":[84,138],"weight":[86],"allocation":[87],"mitigate":[90],"effects":[92],"random":[94],"initialization.":[95],"Our":[96,198],"evaluation,":[97],"conducted":[98],"system":[101],"utilizing":[102],"multiple":[103],"within":[106],"Versatile":[108],"Video":[109],"Coding":[110],"(VVC)":[111],"framework,":[113],"demonstrates":[114],"superiority":[116],"trained":[120,172],"our":[122,182],"proposed":[123],"strategies,":[124],"specifically,":[125],"when":[126],"images":[127],"processed":[129],"blocks.":[131],"Using":[132],"VVC":[133],"reference":[134],"software":[135],"VTM":[136],"12.0":[137],"anchor,":[140],"experiments":[141],"OpenImages":[144],"dataset":[145],"show":[146],"an":[147],"improvement":[148],"BD-rate":[151],"reduction":[152],"from":[153],"-41.3%":[154],"and":[155,159,164,184,195],"-44.6%":[156],"-42.3%":[158],"-44.7%":[160],"object":[162],"detection":[163],"instance":[165],"segmentation":[166],"tasks,":[167],"respectively,":[168],"compared":[169],"independently":[171],"filters.":[173],"The":[174],"statistics":[175],"usage":[179],"align":[180],"hypothesis":[183],"underscore":[185],"importance":[187],"both":[193],"content":[194],"reconstruction":[196],"quality.":[197],"findings":[199],"pave":[200],"way":[202],"improving":[205],"performance":[207],"codecs.":[210]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4399837152","counts_by_year":[],"updated_date":"2025-01-09T08:41:11.372664","created_date":"2024-06-20"}