{"id":"https://openalex.org/W2997829087","doi":"https://doi.org/10.1109/tmm.2019.2961504","title":"Deep Reference Generation With Multi-Domain Hierarchical Constraints for Inter Prediction","display_name":"Deep Reference Generation With Multi-Domain Hierarchical Constraints for Inter Prediction","publication_year":2019,"publication_date":"2019-12-24","ids":{"openalex":"https://openalex.org/W2997829087","doi":"https://doi.org/10.1109/tmm.2019.2961504","mag":"2997829087"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2019.2961504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2019.2961504","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-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/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":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0468-9576","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer 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":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0301-0004","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","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":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1692-0069","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.8858,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.89296745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"22","issue":"10","first_page":"2497","last_page":"2510"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994999766349792,"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":0.808205246925354},{"id":"https://openalex.org/keywords/motion-interpolation","display_name":"Motion interpolation","score":0.6332501173019409},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5161972641944885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.466453492641449},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44627365469932556},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4369880259037018},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.43446552753448486},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35443198680877686},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.3350401818752289},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1565665304660797},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.12671741843223572},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.10599398612976074},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.07857996225357056}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.808205246925354},{"id":"https://openalex.org/C72560505","wikidata":"https://www.wikidata.org/wiki/Q204510","display_name":"Motion interpolation","level":5,"score":0.6332501173019409},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5161972641944885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.466453492641449},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44627365469932556},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4369880259037018},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.43446552753448486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35443198680877686},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.3350401818752289},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1565665304660797},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.12671741843223572},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.10599398612976074},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.07857996225357056},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2019.2961504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2019.2961504","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2656545841","display_name":null,"funder_award_id":"L182002","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"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"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W764651262","https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1905052409","https://openalex.org/W2112648344","https://openalex.org/W2140199336","https://openalex.org/W2142683286","https://openalex.org/W2146395539","https://openalex.org/W2150066425","https://openalex.org/W2171080137","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2508457857","https://openalex.org/W2510648513","https://openalex.org/W2515487352","https://openalex.org/W2518546937","https://openalex.org/W2535388113","https://openalex.org/W2548527721","https://openalex.org/W2560474170","https://openalex.org/W2586480386","https://openalex.org/W2604329646","https://openalex.org/W2605341393","https://openalex.org/W2610325777","https://openalex.org/W2613781359","https://openalex.org/W2761287863","https://openalex.org/W2769654144","https://openalex.org/W2791741309","https://openalex.org/W2792186562","https://openalex.org/W2793114969","https://openalex.org/W2793950911","https://openalex.org/W2883634675","https://openalex.org/W2887695188","https://openalex.org/W2890113757","https://openalex.org/W2896754546","https://openalex.org/W2901921200","https://openalex.org/W2903743802","https://openalex.org/W2913664580","https://openalex.org/W2941143570","https://openalex.org/W2963093735","https://openalex.org/W2963782415","https://openalex.org/W2964121744","https://openalex.org/W2964123261","https://openalex.org/W2964251418","https://openalex.org/W2979673094","https://openalex.org/W2979990382","https://openalex.org/W2998788130","https://openalex.org/W3101531460","https://openalex.org/W3102015846","https://openalex.org/W3124561108","https://openalex.org/W6602211262","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6725165783","https://openalex.org/W6735698919","https://openalex.org/W6738099164","https://openalex.org/W6769015554"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W3155418658","https://openalex.org/W4388414818","https://openalex.org/W2543476714","https://openalex.org/W4316660102"],"abstract_inverted_index":{"Inter":[0],"prediction":[1,45],"is":[2,47,172,201],"an":[3],"important":[4],"module":[5],"in":[6,82],"video":[7,34],"coding":[8,83,211],"for":[9,40,93,151,233],"temporal":[10],"redundancy":[11],"removal,":[12],"where":[13],"similar":[14],"reference":[15,80],"blocks":[16],"are":[17,123],"searched":[18],"from":[19,183,207],"previously":[20],"coded":[21],"frames":[22,81],"and":[23,38,61,96,108,143,242],"employed":[24],"to":[25,29,77,103,115,125,146,177,179,203],"predict":[26],"the":[27,52,68,88,105,127,148,161,165,168,208,214,234,238,251],"block":[28],"be":[30],"coded.":[31],"Although":[32],"existing":[33],"codecs":[35],"can":[36],"estimate":[37],"compensate":[39],"block-level":[41],"motions,":[42],"their":[43],"inter":[44],"performance":[46],"still":[48],"heavily":[49],"affected":[50],"by":[51,58,70,220],"remaining":[53],"inconsistent":[54,162],"pixel-wise":[55],"displacement":[56],"caused":[57],"irregular":[59],"rotation":[60],"deformation.":[62],"In":[63],"this":[64,118],"paper,":[65],"we":[66,86,138],"address":[67],"problem":[69],"proposing":[71],"a":[72,98,140,190],"deep":[73],"frame":[74,94,152,216],"interpolation":[75,95,153,217],"network":[76,102,205,218],"generate":[78,147],"additional":[79],"scenarios.":[84],"First,":[85],"summarize":[87],"previous":[89],"adaptive":[90],"convolutions":[91],"used":[92],"propose":[97],"factorized":[99,131,149,169],"kernel":[100,132,170],"convolutional":[101,133],"improve":[104],"modeling":[106],"capacity":[107],"simultaneously":[109],"keep":[110],"its":[111],"compact":[112],"form.":[113],"Second,":[114],"better":[116],"train":[117],"network,":[119],"multi-domain":[120,221],"hierarchical":[121,222],"constraints":[122],"introduced":[124],"regularize":[126],"training":[128],"of":[129,164,192,210],"our":[130,224],"network.":[134],"For":[135,157,187],"spatial":[136],"domain,":[137,159,189],"use":[139],"gradually":[141],"down-sampled":[142],"up-sampled":[144],"auto-encoder":[145],"kernels":[150],"at":[154],"different":[155],"scales.":[156],"quality":[158,163,185],"considering":[160],"input":[166],"frames,":[167],"convolution":[171],"modulated":[173],"with":[174],"quality-related":[175],"features":[176],"learn":[178],"exploit":[180],"more":[181],"information":[182],"high":[184],"frames.":[186],"frequency":[188,199],"sum":[191],"absolute":[193],"transformed":[194],"difference":[195],"loss":[196],"that":[197],"performs":[198],"transformation":[200],"utilized":[202],"facilitate":[204],"optimization":[206],"view":[209],"performance.":[212],"With":[213],"well-designed":[215],"regularized":[219],"constraints,":[223],"method":[225],"surpasses":[226],"HEVC":[227],"on":[228,245],"average":[229,246],"3.8%":[230],"BD-rate":[231,248],"saving":[232,249],"luma":[235],"component":[236],"under":[237],"random":[239],"access":[240],"configuration":[241],"also":[243],"obtains":[244],"0.83%":[247],"over":[250],"upcoming":[252],"VVC.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
