{"id":"https://openalex.org/W2576178861","doi":"https://doi.org/10.1109/vcip.2016.7805427","title":"Transform-domain in-loop filter with block similarity for HEVC","display_name":"Transform-domain in-loop filter with block similarity for HEVC","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2576178861","doi":"https://doi.org/10.1109/vcip.2016.7805427","mag":"2576178861"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2016.7805427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5055937409","display_name":"Xinfeng Zhang","orcid":"https://orcid.org/0000-0002-7517-3868"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Xinfeng Zhang","raw_affiliation_strings":["Rapid-Rich Object Search (ROSE) Lab, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Rapid-Rich Object Search (ROSE) Lab, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403129","display_name":"Weisi Lin","orcid":"https://orcid.org/0000-0001-9866-1947"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Weisi Lin","raw_affiliation_strings":["Rapid-Rich Object Search (ROSE) Lab, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Rapid-Rich Object Search (ROSE) Lab, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101471356","display_name":"Ke Gu","orcid":"https://orcid.org/0000-0001-6903-184X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ke Gu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101476860","display_name":"Qiaohong Li","orcid":"https://orcid.org/0000-0002-3476-5779"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Qiaohong Li","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385183","display_name":"Shanshe Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshe Wang","raw_affiliation_strings":["Institute of Digital Media & Cooperative Medianet Innovation Center, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Digital Media & Cooperative Medianet Innovation Center, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039832462","display_name":"Siwei Ma","orcid":"https://orcid.org/0000-0002-2731-5403"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Ma","raw_affiliation_strings":["Peking University, Beijing, Beijing, CN"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5055937409"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.16095793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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":0.9995999932289124,"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/T10688","display_name":"Image and Signal Denoising Methods","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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":0.9993000030517578,"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":0.5838541388511658},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.5587815046310425},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5562853813171387},{"id":"https://openalex.org/keywords/deblocking-filter","display_name":"Deblocking filter","score":0.5467570424079895},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5246461033821106},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4616275131702423},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.44845694303512573},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4264407753944397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3914336562156677},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.3759993314743042},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3720795512199402},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35116177797317505},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09784826636314392},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08066445589065552}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5838541388511658},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.5587815046310425},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5562853813171387},{"id":"https://openalex.org/C143184774","wikidata":"https://www.wikidata.org/wiki/Q3020846","display_name":"Deblocking filter","level":2,"score":0.5467570424079895},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5246461033821106},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4616275131702423},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.44845694303512573},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4264407753944397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3914336562156677},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.3759993314743042},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3720795512199402},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35116177797317505},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09784826636314392},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08066445589065552}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2016.7805427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6399999856948853,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320766","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2017801928","https://openalex.org/W2064674198","https://openalex.org/W2086839070","https://openalex.org/W2097073572","https://openalex.org/W2122086266","https://openalex.org/W2428965074","https://openalex.org/W2474073286"],"related_works":["https://openalex.org/W2548824516","https://openalex.org/W1966775699","https://openalex.org/W2138957216","https://openalex.org/W2187058657","https://openalex.org/W2094583657","https://openalex.org/W1594300462","https://openalex.org/W2158009109","https://openalex.org/W1606460848","https://openalex.org/W1706111048","https://openalex.org/W2536414725"],"abstract_inverted_index":{"In-loop":[0],"filtering":[1,106],"is":[2,54,67,75,96],"an":[3],"important":[4],"technique":[5],"in":[6,82,111],"modern":[7],"video":[8,29,61],"coding":[9,30],"standards.":[10],"In":[11],"this":[12],"paper,":[13],"we":[14],"propose":[15],"a":[16,83],"transform-domain":[17],"in-loop":[18,114,136,149],"filter":[19,115,137,150],"to":[20,47,69,91,132,139],"further":[21,152],"improve":[22],"the":[23,55,63,76,86,100,105,108,112,134,147,154],"compression":[24,155],"performance":[25],"of":[26,59,65,79,157],"high":[27],"efficiency":[28,156],"(HEVC)":[31],"standard.":[32],"The":[33,51,72],"proposed":[34,113,135,148],"method":[35],"estimates":[36],"block":[37,56,92],"transform":[38,57,80],"coefficients":[39,58],"by":[40],"adaptively":[41],"fusing":[42],"two":[43],"prediction":[44,53,74],"sources":[45],"according":[46,90,138],"their":[48],"uncertainties":[49],"respectively.":[50],"first":[52],"compressed":[60,119],"frames,":[62],"uncertainty":[64,95],"which":[66],"related":[68],"quantization":[70,123],"parameters.":[71],"second":[73],"weighted":[77],"average":[78],"blocks":[81],"neighborhood,":[84],"and":[85,126],"weights":[87],"are":[88,116,130],"designed":[89],"similarity.":[93],"Its":[94],"estimated":[97],"based":[98],"on":[99],"coefficient":[101],"variance.":[102],"To":[103],"optimize":[104],"performance,":[107],"parameters":[109],"utilized":[110,131],"learned":[117],"from":[118],"videos":[120],"for":[121],"each":[122],"parameter":[124],"offline,":[125],"frame":[127],"level":[128],"flags":[129],"switch":[133],"rate-distortion":[140],"cost.":[141],"Extensive":[142],"experimental":[143],"results":[144],"show":[145],"that":[146],"can":[151],"improves":[153],"HEVC.":[158]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
