{"id":"https://openalex.org/W4220987362","doi":"https://doi.org/10.1109/icce53296.2022.9730760","title":"Frame Attention Recurrent Back-Projection Network for Accurate Video Super-Resolution","display_name":"Frame Attention Recurrent Back-Projection Network for Accurate Video Super-Resolution","publication_year":2022,"publication_date":"2022-01-07","ids":{"openalex":"https://openalex.org/W4220987362","doi":"https://doi.org/10.1109/icce53296.2022.9730760"},"language":"en","primary_location":{"id":"doi:10.1109/icce53296.2022.9730760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce53296.2022.9730760","pdf_url":null,"source":{"id":"https://openalex.org/S4363608007","display_name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","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/A5102849598","display_name":"So Sasatani","orcid":"https://orcid.org/0000-0002-2635-9105"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"So Sasatani","raw_affiliation_strings":["Graduate School of Information Science and Engineering Ritsumeikan University,Shiga,Japan","Graduate School of Information Science and Engineering Ritsumeikan University, Shiga, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Engineering Ritsumeikan University,Shiga,Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Graduate School of Information Science and Engineering Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010434486","display_name":"Yutaro Iwamoto","orcid":"https://orcid.org/0000-0001-6723-8652"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yutaro Iwamoto","raw_affiliation_strings":["College of Information Science and Engineering Ritsumeikan University,Shiga,Japan","College of Information Science and Engineering Ritsumeikan University, Shiga, Japan"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering Ritsumeikan University,Shiga,Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"College of Information Science and Engineering Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044216245","display_name":"Yen\u2010Wei Chen","orcid":"https://orcid.org/0000-0002-5952-0188"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yen-Wei Chen","raw_affiliation_strings":["College of Information Science and Engineering Ritsumeikan University,Shiga,Japan","College of Information Science and Engineering Ritsumeikan University, Shiga, Japan"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering Ritsumeikan University,Shiga,Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"College of Information Science and Engineering Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102849598"],"corresponding_institution_ids":["https://openalex.org/I135768898"],"apc_list":null,"apc_paid":null,"fwci":0.1798,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47597319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"05"},"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":0.9973000288009644,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.7782098054885864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7366622686386108},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.7185918688774109},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6979576349258423},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6255433559417725},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5968545079231262},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5260186791419983},{"id":"https://openalex.org/keywords/residual-frame","display_name":"Residual frame","score":0.4478972554206848},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.4371030032634735},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4275829792022705},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4104248583316803},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35636723041534424},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.3282225728034973},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1609872579574585},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08451062440872192},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.055075109004974365}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7782098054885864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7366622686386108},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.7185918688774109},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6979576349258423},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6255433559417725},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5968545079231262},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5260186791419983},{"id":"https://openalex.org/C204641915","wikidata":"https://www.wikidata.org/wiki/Q7315509","display_name":"Residual frame","level":4,"score":0.4478972554206848},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.4371030032634735},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4275829792022705},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4104248583316803},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35636723041534424},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.3282225728034973},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1609872579574585},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08451062440872192},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.055075109004974365},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce53296.2022.9730760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce53296.2022.9730760","pdf_url":null,"source":{"id":"https://openalex.org/S4363608007","display_name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2010981316","https://openalex.org/W2087380704","https://openalex.org/W2165939075","https://openalex.org/W2557227117","https://openalex.org/W2752782242","https://openalex.org/W2769654144","https://openalex.org/W2781335552","https://openalex.org/W2923834406","https://openalex.org/W2963729050","https://openalex.org/W2964040059","https://openalex.org/W3011841799","https://openalex.org/W3102015846"],"related_works":["https://openalex.org/W4389989350","https://openalex.org/W2379961389","https://openalex.org/W2103881587","https://openalex.org/W1769856625","https://openalex.org/W2119751394","https://openalex.org/W2367398656","https://openalex.org/W2168879190","https://openalex.org/W2120898383","https://openalex.org/W2108315009","https://openalex.org/W2171203958"],"abstract_inverted_index":{"In":[0],"this":[1,113],"study,":[2],"we":[3],"aim":[4],"to":[5,22,49,82,104],"recover":[6],"high-resolution":[7],"(HR)":[8],"images":[9,13],"from":[10],"multiple":[11,93],"low-resolution":[12],"using":[14,52],"a":[15,116],"multi-frame":[16,34],"super-resolution":[17],"(SR)":[18],"or":[19],"video":[20,124],"SR":[21,125],"increase":[23],"the":[24,33,37,57,64,74,79,89,128],"resolution":[25],"of":[26,32],"surveillance":[27],"camera":[28],"images.":[29],"The":[30],"challenge":[31],"method":[35,59,90],"is":[36,102],"high-precision":[38],"alignment":[39],"between":[40,66,98],"frames,":[41],"and":[42,76],"many":[43],"techniques":[44],"have":[45],"been":[46],"proposed":[47],"recently":[48],"solve":[50],"it":[51,101],"convolutional":[53],"networks,":[54],"e.g.,":[55],"in":[56,73],"state-of-the-art":[58],"(i.e.,":[60],"recurrent":[61,119],"back-projection":[62,120],"network),":[63],"residuals":[65],"frames":[67,75],"are":[68],"calculated":[69],"as":[70],"subtle":[71],"changes":[72],"back-projected":[77],"onto":[78],"input":[80],"image":[81],"achieve":[83],"HR,":[84],"including":[85],"alignment.":[86],"However,":[87],"since":[88],"uniformly":[91],"concatenates":[92],"HR":[94],"feature":[95],"maps":[96],"generated":[97],"each":[99],"frame,":[100],"impossible":[103],"focus":[105],"on":[106],"extracting":[107],"important":[108],"features":[109],"for":[110,122],"HR.":[111],"Therefore,":[112],"study":[114],"proposes":[115],"frame":[117,130],"attention":[118],"network":[121],"accurate":[123],"by":[126],"emphasizing":[127],"essential":[129],"features.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}