{"id":"https://openalex.org/W2766628028","doi":"https://doi.org/10.1109/icassp.2018.8462021","title":"The Av1 Constrained Directional Enhancement Filter (Cdef)","display_name":"The Av1 Constrained Directional Enhancement Filter (Cdef)","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2766628028","doi":"https://doi.org/10.1109/icassp.2018.8462021","mag":"2766628028"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1602.05975","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027152142","display_name":"Steinar Midtskogen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154132","display_name":"Cisco Systems (Norway)","ror":"https://ror.org/03ytgj055","country_code":"NO","type":"company","lineage":["https://openalex.org/I135428043","https://openalex.org/I4210154132"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Steinar Midtskogen","raw_affiliation_strings":["Cisco Systems Inc., Lysaker, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cisco Systems Inc., Lysaker, Norway","institution_ids":["https://openalex.org/I4210154132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021269794","display_name":"Jean-Marc Valin","orcid":"https://orcid.org/0000-0002-9883-6927"},"institutions":[{"id":"https://openalex.org/I4210147868","display_name":"La Jolla Pharmaceutical (United States)","ror":"https://ror.org/04wbpm451","country_code":"US","type":"company","lineage":["https://openalex.org/I4210147868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jean-Marc Valin","raw_affiliation_strings":["Mozilla Corporation, CA, USA","[Mozilla Corporation, Mountain View, CA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mozilla Corporation, CA, USA","institution_ids":["https://openalex.org/I4210147868"]},{"raw_affiliation_string":"[Mozilla Corporation, Mountain View, CA, USA]","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00599622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1193","last_page":"1197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9995999932289124,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9929999709129333,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9909999966621399,"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/filter","display_name":"Filter (signal processing)","score":0.6971131563186646},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.6772342920303345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6630027294158936},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5496321320533752},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.4627179503440857},{"id":"https://openalex.org/keywords/root-raised-cosine-filter","display_name":"Root-raised-cosine filter","score":0.43503546714782715},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3362801969051361},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.225764662027359},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.1737033724784851}],"concepts":[{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6971131563186646},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.6772342920303345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6630027294158936},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5496321320533752},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.4627179503440857},{"id":"https://openalex.org/C76826599","wikidata":"https://www.wikidata.org/wiki/Q1248611","display_name":"Root-raised-cosine filter","level":4,"score":0.43503546714782715},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3362801969051361},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.225764662027359},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.1737033724784851},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icassp.2018.8462021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1602.05975","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1602.05975","pdf_url":"https://arxiv.org/pdf/1602.05975","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2766628028","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1602.05975.pdf","pdf_url":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1602.05975","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1602.05975","pdf_url":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1602.05975","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1602.05975","pdf_url":"https://arxiv.org/pdf/1602.05975","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2766628028.pdf","grobid_xml":"https://content.openalex.org/works/W2766628028.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W2017801928","https://openalex.org/W2099244020","https://openalex.org/W2133665775","https://openalex.org/W2146395539","https://openalex.org/W2150969685","https://openalex.org/W6634589695","https://openalex.org/W6697061483","https://openalex.org/W6727485513","https://openalex.org/W6738991188","https://openalex.org/W6744097805","https://openalex.org/W6748637279"],"related_works":["https://openalex.org/W2569100494","https://openalex.org/W2372411525","https://openalex.org/W2275098138","https://openalex.org/W2625911732","https://openalex.org/W2563982677","https://openalex.org/W2881879048","https://openalex.org/W3142394824","https://openalex.org/W2867259795","https://openalex.org/W2124187578","https://openalex.org/W2861707390","https://openalex.org/W2168491759","https://openalex.org/W2050947555","https://openalex.org/W2842834729","https://openalex.org/W3129583496","https://openalex.org/W2060973712","https://openalex.org/W2357184811","https://openalex.org/W1922543103","https://openalex.org/W3153323090","https://openalex.org/W2075154555","https://openalex.org/W1496931378"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,10,35,48,64,68,81,84],"constrained":[4],"directional":[5],"enhancement":[6,75],"filter":[7,17,24,44,65,76],"designed":[8,27],"for":[9,28,86],"AV1":[11,90],"royalty-free":[12],"video":[13,93],"codec.":[14],"The":[15,43,73],"in-loop":[16],"is":[18,26,77],"based":[19],"on":[20],"a":[21,58],"non-linear":[22],"low-pass":[23],"and":[25,39,53,70,91],"vectorization":[29],"efficiency.":[30],"It":[31],"takes":[32],"into":[33],"account":[34],"direction":[36,49,69],"of":[37,50,61,83],"edges":[38],"patterns":[40],"being":[41],"filtered.":[42],"works":[45],"by":[46],"identifying":[47],"each":[51],"block":[52],"then":[54],"adaptively":[55],"filtering":[56],"with":[57],"high":[59],"degree":[60],"control":[62],"over":[63],"strength":[66],"along":[67],"across":[71],"it.":[72],"proposed":[74],"shown":[78],"to":[79],"improve":[80],"quality":[82],"Alliance":[85],"Open":[87],"Media":[88],"(AOM)":[89],"Thor":[92],"codecs":[94],"in":[95,97],"particular":[96],"low":[98],"complexity":[99],"configurations.":[100]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}