{"id":"https://openalex.org/W2789951514","doi":"https://doi.org/10.1109/vcip.2017.8305038","title":"Bilateral filtering for video coding","display_name":"Bilateral filtering for video coding","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2789951514","doi":"https://doi.org/10.1109/vcip.2017.8305038","mag":"2789951514"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2017.8305038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073889917","display_name":"Per Wennersten","orcid":null},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Per Wennersten","raw_affiliation_strings":["Ericsson Research, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043176712","display_name":"Jacob Str\u00f6m","orcid":null},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jacob Strom","raw_affiliation_strings":["Ericsson Research, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347095","display_name":"Ying Wang","orcid":"https://orcid.org/0000-0002-4541-9169"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Wang","raw_affiliation_strings":["Skype Sweden AB, Sweden"],"affiliations":[{"raw_affiliation_string":"Skype Sweden AB, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102814251","display_name":"Kenneth Andersson","orcid":"https://orcid.org/0009-0005-9965-6302"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Kenneth Andersson","raw_affiliation_strings":["Ericsson Research, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047353294","display_name":"Rickard Sj\u00f6berg","orcid":null},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Rickard Sjoberg","raw_affiliation_strings":["Ericsson Research, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000409285","display_name":"Jack Enhorn","orcid":null},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jack Enhorn","raw_affiliation_strings":["Ericsson Research, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5073889917"],"corresponding_institution_ids":["https://openalex.org/I1306339040"],"apc_list":null,"apc_paid":null,"fwci":0.7282,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.81409525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7138242721557617},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5650364756584167},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4062809944152832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34392231702804565},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10574996471405029},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0651196837425232}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7138242721557617},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5650364756584167},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4062809944152832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34392231702804565},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10574996471405029},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0651196837425232}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2017.8305038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1571378769","https://openalex.org/W2017801928","https://openalex.org/W2054501530","https://openalex.org/W2064674198","https://openalex.org/W2099244020","https://openalex.org/W2101700394","https://openalex.org/W6675207249"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747","https://openalex.org/W2170022336"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"the":[3,25,66,81,84,94,118,145,150,167,172],"use":[4],"of":[5,83,142,164],"a":[6,10,46,56,134,139,156,161],"bilateral":[7],"filter":[8,17,68,95],"as":[9,33,35],"coding":[11],"tool":[12],"for":[13,31,36,104],"video":[14],"compression.":[15],"The":[16,41,109],"is":[18,28,43,77,90,102],"applied":[19],"after":[20],"transform":[21],"and":[22,24,38,61,70,114,147,169],"reconstruction,":[23],"filtered":[26],"result":[27],"used":[29],"both":[30],"output":[32],"well":[34],"spatial":[37],"temporal":[39],"prediction.":[40],"implementation":[42],"based":[44],"on":[45],"look-up":[47],"table":[48],"(LUT),":[49],"making":[50],"it":[51,76],"fast":[52],"enough":[53],"to":[54,79,86,117],"give":[55],"reasonable":[57],"trade-off":[58],"between":[59],"complexity":[60,140,162],"compression":[62],"efficiency.":[63],"By":[64],"varying":[65],"center":[67],"coefficient":[69],"avoiding":[71],"storing":[72],"zero":[73],"LUT":[74,85],"entries,":[75],"possible":[78],"reduce":[80],"size":[82],"2202":[87],"bytes.":[88],"It":[89],"also":[91],"demonstrated":[92],"that":[93],"can":[96],"be":[97],"implemented":[98,113],"without":[99],"divisions,":[100],"which":[101],"important":[103],"full":[105],"custom":[106],"ASIC":[107],"implementations.":[108],"method":[110],"has":[111],"been":[112],"tested":[115],"according":[116],"common":[119],"test":[120],"conditions":[121],"in":[122,144,149,166,171],"JEM":[123],"version":[124],"5.0.1.":[125],"For":[126,152],"still":[127],"images,":[128],"or":[129],"intra":[130],"frames,":[131],"we":[132,154],"report":[133,155],"0.4%":[135],"bitrate":[136,158],"reduction":[137,159],"with":[138,160],"increase":[141,163],"6%":[143],"encoder":[146,168],"5%":[148],"decoder.":[151,173],"video,":[153],"0.5%":[157],"3%":[165],"0%":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-02-25T23:00:34.991745","created_date":"2025-10-10T00:00:00"}
