{"id":"https://openalex.org/W4398173949","doi":"https://doi.org/10.1109/tbc.2024.3394291","title":"Deep Compressed Video Super-Resolution With Guidance of Coding Priors","display_name":"Deep Compressed Video Super-Resolution With Guidance of Coding Priors","publication_year":2024,"publication_date":"2024-05-21","ids":{"openalex":"https://openalex.org/W4398173949","doi":"https://doi.org/10.1109/tbc.2024.3394291"},"language":"en","primary_location":{"id":"doi:10.1109/tbc.2024.3394291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbc.2024.3394291","pdf_url":null,"source":{"id":"https://openalex.org/S100142436","display_name":"IEEE Transactions on Broadcasting","issn_l":"0018-9316","issn":["0018-9316","1557-9611"],"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 Broadcasting","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/A5100734549","display_name":"Qiang Zhu","orcid":"https://orcid.org/0000-0003-2959-0641"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Zhu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-2959-0641","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100643582","display_name":"Feiyu Chen","orcid":"https://orcid.org/0000-0002-0928-6899"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiyu Chen","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-0928-6899","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345964","display_name":"Yu Liu","orcid":"https://orcid.org/0009-0000-2391-5017"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0000-2391-5017","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089933678","display_name":"Shuyuan Zhu","orcid":"https://orcid.org/0000-0003-4450-3868"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyuan Zhu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-4450-3868","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077470082","display_name":"Bing Zeng","orcid":"https://orcid.org/0000-0002-4491-7967"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Zeng","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-4491-7967","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100734549"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":2.1427,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8831665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"70","issue":"2","first_page":"505","last_page":"515"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9958999752998352,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6878743171691895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6210551261901855},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5086287260055542},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46913430094718933},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4630337953567505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45988357067108154},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.17796432971954346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16084793210029602},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12150073051452637}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6878743171691895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6210551261901855},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5086287260055542},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46913430094718933},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4630337953567505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45988357067108154},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.17796432971954346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16084793210029602},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12150073051452637}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbc.2024.3394291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbc.2024.3394291","pdf_url":null,"source":{"id":"https://openalex.org/S100142436","display_name":"IEEE Transactions on Broadcasting","issn_l":"0018-9316","issn":["0018-9316","1557-9611"],"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 Broadcasting","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2064659031","display_name":null,"funder_award_id":"62302080","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6692872903","display_name":null,"funder_award_id":"2023M730503","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8366541121","display_name":null,"funder_award_id":"2023NSFSC1972","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"},{"id":"https://openalex.org/G8505359809","display_name":null,"funder_award_id":"U20A20184","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W2043292349","https://openalex.org/W2101700394","https://openalex.org/W2133665775","https://openalex.org/W2142683286","https://openalex.org/W2320725294","https://openalex.org/W2557227117","https://openalex.org/W2589026418","https://openalex.org/W2601564443","https://openalex.org/W2769654144","https://openalex.org/W2781335552","https://openalex.org/W2798664922","https://openalex.org/W2799309438","https://openalex.org/W2915260409","https://openalex.org/W2923834406","https://openalex.org/W2956891660","https://openalex.org/W2962927175","https://openalex.org/W2963091558","https://openalex.org/W2963182372","https://openalex.org/W2964040059","https://openalex.org/W2965669158","https://openalex.org/W2966926453","https://openalex.org/W2979990382","https://openalex.org/W2986833982","https://openalex.org/W2997563066","https://openalex.org/W2998156630","https://openalex.org/W2998349962","https://openalex.org/W3034475761","https://openalex.org/W3094577522","https://openalex.org/W3099887184","https://openalex.org/W3102015846","https://openalex.org/W3102974666","https://openalex.org/W3107561632","https://openalex.org/W3133235857","https://openalex.org/W3138516171","https://openalex.org/W3154627629","https://openalex.org/W3157035436","https://openalex.org/W3176148916","https://openalex.org/W3188699473","https://openalex.org/W4210850244","https://openalex.org/W4289536774","https://openalex.org/W4304098283","https://openalex.org/W4308243395","https://openalex.org/W4312492463","https://openalex.org/W4312686258","https://openalex.org/W4312929164","https://openalex.org/W4313032248","https://openalex.org/W4319300459","https://openalex.org/W4319663702","https://openalex.org/W4379409274","https://openalex.org/W4382450720","https://openalex.org/W4383753076","https://openalex.org/W4385245566","https://openalex.org/W4386076435","https://openalex.org/W6631190155","https://openalex.org/W6810174114"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Compressed":[0],"video":[1,99,112],"super-resolution":[2],"(VSR)":[3],"is":[4],"employed":[5,169],"to":[6,37,50,80,93,121,130,143,150],"generate":[7,38],"high-resolution":[8],"(HR)":[9],"videos":[10],"from":[11,96],"low-resolution":[12],"(LR)":[13],"compressed":[14,18,29,72,127],"videos.":[15,40,84,177],"Recently,":[16],"some":[17],"VSR":[19,73],"methods":[20,43],"have":[21],"adopted":[22],"coding":[23,55,63,78,165],"priors,":[24],"such":[25],"as":[26],"partition":[27,105],"maps,":[28],"residual":[30,128],"frames,":[31],"predictive":[32,148],"pictures":[33,149],"and":[34,117,147,156,188],"motion":[35,145,152],"vectors,":[36],"HR":[39,83,176],"However,":[41],"these":[42,162],"disregard":[44],"the":[45,51,59,97,101,104,111,122,126,164,192],"design":[46,87],"of":[47,54,62,103,125],"modules":[48],"according":[49,120],"specific":[52],"characteristics":[53],"information,":[56],"which":[57],"limits":[58],"application":[60],"efficiency":[61],"priors.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68,86,109,135],"propose":[69],"a":[70,88,137],"deep":[71],"network":[74],"that":[75,182],"effectively":[76,168],"introduces":[77],"priors":[79,166],"construct":[81,136],"high-quality":[82,175],"Specifically,":[85],"partition-guided":[89],"feature":[90,132,140],"extraction":[91],"module":[92,142],"extract":[94],"features":[95,113,116,119],"LR":[98],"with":[100],"guidance":[102],"average":[106],"image.":[107],"Moreover,":[108],"separate":[110],"into":[114],"sparse":[115],"dense":[118],"energy":[123],"distribution":[124],"frame":[129],"achieve":[131],"enhancement.":[133],"Additionally,":[134],"temporal":[138],"attention-based":[139],"fusion":[141],"use":[144],"vectors":[146],"eliminate":[151],"errors":[153],"between":[154],"frames":[155],"temporally":[157],"fuse":[158],"features.":[159],"Based":[160],"on":[161],"modules,":[163],"are":[167],"in":[170],"our":[171,183],"model":[172],"for":[173],"constructing":[174],"The":[178],"experimental":[179],"results":[180],"demonstrate":[181],"method":[184],"achieves":[185],"better":[186],"performance":[187],"lower":[189],"complexity":[190],"than":[191],"state-of-the-arts.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
