{"id":"https://openalex.org/W2901921200","doi":"https://doi.org/10.1109/tip.2018.2882923","title":"One-for-All: Grouped Variation Network-Based Fractional Interpolation in Video Coding","display_name":"One-for-All: Grouped Variation Network-Based Fractional Interpolation in Video Coding","publication_year":2018,"publication_date":"2018-11-22","ids":{"openalex":"https://openalex.org/W2901921200","doi":"https://doi.org/10.1109/tip.2018.2882923","mag":"2901921200","pmid":"https://pubmed.ncbi.nlm.nih.gov/30475718"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2882923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2882923","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100761525","display_name":"Jiaying Liu","orcid":"https://orcid.org/0000-0002-0468-9576"},"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":"Jiaying Liu","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0468-9576","affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054386013","display_name":"Sifeng Xia","orcid":"https://orcid.org/0000-0003-0301-0004"},"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":"Sifeng Xia","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0301-0004","affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070884682","display_name":"Wenhan Yang","orcid":"https://orcid.org/0000-0002-1692-0069"},"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":"Wenhan Yang","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1692-0069","affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060424860","display_name":"Mading Li","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":"Mading Li","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100407381","display_name":"Dong Liu","orcid":"https://orcid.org/0000-0001-9100-2906"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Liu","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-9100-2906","affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.6184,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.97053566,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"28","issue":"5","first_page":"2140","last_page":"2151"},"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/T10531","display_name":"Advanced Vision and Imaging","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":0.9983000159263611,"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/pixel","display_name":"Pixel","score":0.776402473449707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6583662033081055},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6254443526268005},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5734735727310181},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5161781907081604},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4957643449306488},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4560731053352356},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4549299478530884},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43797656893730164},{"id":"https://openalex.org/keywords/image-scaling","display_name":"Image scaling","score":0.4264589846134186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33167845010757446},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3312942683696747},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.26569807529449463},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10241255164146423}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.776402473449707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6583662033081055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6254443526268005},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5734735727310181},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5161781907081604},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4957643449306488},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4560731053352356},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4549299478530884},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43797656893730164},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.4264589846134186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33167845010757446},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3312942683696747},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26569807529449463},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10241255164146423},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2018.2882923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2882923","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:30475718","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30475718","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3260917273","display_name":"\u6076\u52a3\u6761\u4ef6\u4e0b\u89c6\u9891\u8054\u5408\u589e\u5f3a\u4e0e\u7406\u89e3\u7814\u7a76","funder_award_id":"61772043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4567390287","display_name":null,"funder_award_id":"61390512","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324787","display_name":"Peking University","ror":"https://ror.org/02v51f717"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W123426918","https://openalex.org/W250076511","https://openalex.org/W1500583293","https://openalex.org/W1522301498","https://openalex.org/W1580098554","https://openalex.org/W1599195847","https://openalex.org/W1677182931","https://openalex.org/W1965392255","https://openalex.org/W2010981316","https://openalex.org/W2054439121","https://openalex.org/W2077903051","https://openalex.org/W2118922098","https://openalex.org/W2121927366","https://openalex.org/W2131024476","https://openalex.org/W2132161580","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2155893237","https://openalex.org/W2242218935","https://openalex.org/W2468371437","https://openalex.org/W2477177239","https://openalex.org/W2478884216","https://openalex.org/W2508457857","https://openalex.org/W2510648513","https://openalex.org/W2518546937","https://openalex.org/W2566855890","https://openalex.org/W2605341393","https://openalex.org/W2610325777","https://openalex.org/W2612222456","https://openalex.org/W2613155248","https://openalex.org/W2741196023","https://openalex.org/W2761287863","https://openalex.org/W2776107444","https://openalex.org/W2791959368","https://openalex.org/W2793950911","https://openalex.org/W2963420272","https://openalex.org/W2964121744","https://openalex.org/W3104772632","https://openalex.org/W6602211262","https://openalex.org/W6630098979","https://openalex.org/W6631190155","https://openalex.org/W6634952922","https://openalex.org/W6991582259"],"related_works":["https://openalex.org/W4293743910","https://openalex.org/W1775307446","https://openalex.org/W2394941659","https://openalex.org/W1498671902","https://openalex.org/W2465174208","https://openalex.org/W33056850","https://openalex.org/W2030667839","https://openalex.org/W1480379374","https://openalex.org/W2388226938","https://openalex.org/W2384260886"],"abstract_inverted_index":{"Fractional":[0],"interpolation":[1,30,77],"is":[2,100],"used":[3],"to":[4,20,61,135,148,156,194],"provide":[5],"sub-pixel":[6,67,105,109,146],"level":[7],"references":[8],"for":[9,49,65],"motion":[10],"compensation":[11],"in":[12,24,39,131,139,187],"the":[13,33,144,164,167,176],"interprediction":[14],"of":[15,35,102,166,169,178],"video":[16,25,93,140],"coding,":[17,141],"which":[18],"attempts":[19],"remove":[21],"temporal":[22],"redundancy":[23],"sequences.":[26],"Traditional":[27],"handcrafted":[28],"fractional":[29,76],"filters":[31],"face":[32],"challenge":[34],"modeling":[36],"discontinuous":[37],"regions":[38],"videos,":[40],"while":[41],"existing":[42],"deep":[43],"learning-based":[44],"methods":[45],"are":[46],"either":[47],"designed":[48],"a":[50,63,74,81],"single":[51],"quantization":[52],"parameter":[53],"(QP),":[54],"only":[55],"generating":[56,103],"half-pixel":[57],"samples,":[58],"or":[59],"need":[60],"train":[62],"model":[64],"each":[66],"position.":[68],"In":[69,160],"this":[70],"paper,":[71],"we":[72,127,162],"present":[73],"one-for-all":[75],"method":[78,89,184],"based":[79],"on":[80,190],"grouped":[82],"variation":[83],"convolutional":[84],"neural":[85],"network":[86,121],"(GVCNN).":[87],"Our":[88],"can":[90],"deal":[91],"with":[92,181],"frames":[94],"coded":[95],"using":[96],"different":[97],"QPs":[98],"and":[99,118,152,192],"capable":[101],"all":[104],"positions":[106],"at":[107],"one":[108],"level.":[110],"Also,":[111],"by":[112],"predicting":[113],"variations":[114],"between":[115],"integer-position":[116],"pixels":[117,155],"sub-pixels,":[119],"our":[120,183],"offers":[122],"more":[123],"expressive":[124],"power.":[125],"Moreover,":[126],"perform":[128],"specific":[129],"measurements":[130],"training":[132],"data":[133],"generation":[134],"simulate":[136,157],"practical":[137],"situations":[138],"including":[142],"blurring":[143],"down-sampled":[145],"samples":[147],"avoid":[149],"aliasing":[150],"effects":[151],"coding":[153],"integer":[154],"reconstruction":[158],"errors.":[159],"addition,":[161],"analyze":[163],"impact":[165],"size":[168],"blur":[170],"kernels":[171],"theoretically.":[172],"Experimental":[173],"results":[174],"verify":[175],"efficiency":[177],"GVCNN.":[179],"Compared":[180],"HEVC,":[182],"achieves":[185],"2.2%":[186],"bit":[188],"saving":[189],"average":[191],"up":[193],"5.2%":[195],"under":[196],"low-delay":[197],"P":[198],"configuration.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
