{"id":"https://openalex.org/W2783425204","doi":"https://doi.org/10.1109/icawst.2017.8256493","title":"Integrating motion estimation and convolutional neural network for video super-resolution","display_name":"Integrating motion estimation and convolutional neural network for video super-resolution","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2783425204","doi":"https://doi.org/10.1109/icawst.2017.8256493","mag":"2783425204"},"language":"en","primary_location":{"id":"doi:10.1109/icawst.2017.8256493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2017.8256493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5089686038","display_name":"Tsung-Hsin Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I89178830","display_name":"National Kaohsiung University of Applied Sciences","ror":"https://ror.org/04wydzr61","country_code":"TW","type":"education","lineage":["https://openalex.org/I89178830"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsung-Hsin Wei","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I89178830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113478139","display_name":"Ju-Chin Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]},{"id":"https://openalex.org/I89178830","display_name":"National Kaohsiung University of Applied Sciences","ror":"https://ror.org/04wydzr61","country_code":"TW","type":"education","lineage":["https://openalex.org/I89178830"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ju-Chin Chen","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Kaohsiung University of Applied Sciences Kaohsiung, Taiwan","Department of Computer Science and Information Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Kaohsiung University of Applied Sciences Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892","https://openalex.org/I89178830"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I89178830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18654638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"428","last_page":"431"},"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":0.9965999722480774,"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":0.9962000250816345,"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":0.8530535697937012},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7539371848106384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7298288345336914},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6743276119232178},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5921258926391602},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.4956766366958618},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.49006760120391846},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.48997393250465393},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4290475845336914},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.42313069105148315},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.418750524520874},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4183870553970337},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16727644205093384}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8530535697937012},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7539371848106384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7298288345336914},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6743276119232178},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5921258926391602},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.4956766366958618},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.49006760120391846},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.48997393250465393},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4290475845336914},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.42313069105148315},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.418750524520874},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4183870553970337},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16727644205093384}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icawst.2017.8256493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2017.8256493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","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":14,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1791560514","https://openalex.org/W2047920195","https://openalex.org/W2097074225","https://openalex.org/W2098506229","https://openalex.org/W2121058967","https://openalex.org/W2141109916","https://openalex.org/W2163576103","https://openalex.org/W2163935418","https://openalex.org/W2210480155","https://openalex.org/W2320725294","https://openalex.org/W2534320940","https://openalex.org/W6602211262","https://openalex.org/W6683680428"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2159897444","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2294441925","https://openalex.org/W2142226356","https://openalex.org/W3210000161"],"abstract_inverted_index":{"In":[0,64,89,123],"this":[1],"paper,":[2],"we":[3,70],"proposed":[4,121,129,145],"a":[5,18],"video":[6,12,62,155],"super-resolution":[7,13],"(SR)":[8],"system.":[9,122],"Image":[10],"or":[11],"has":[14,26],"been":[15,27],"studied":[16],"for":[17,29,61,98],"long":[19],"time.":[20],"Recently,":[21],"convolutional":[22],"neural":[23],"network":[24],"(CNN)":[25],"applied":[28],"image":[30],"SR":[31,47,76],"and":[32,78,110,136],"provided":[33],"impressive":[34],"synthesized":[35,43,139],"high-resolution":[36],"results.":[37],"Although":[38],"CNN":[39],"can":[40,147],"provide":[41],"better":[42],"quality":[44],"than":[45,93],"traditional":[46],"methods":[48],"by":[49],"preserving":[50],"more":[51],"high":[52,86],"frequency":[53],"information,":[54],"the":[55,75,80,95,99,120,133,144],"computational":[56],"complexity":[57],"is":[58,82],"main":[59],"concern":[60],"super-resolution.":[63],"order":[65],"to":[66,84,130],"accelerate":[67],"processing":[68,134],"time,":[69],"integrated":[71],"motion":[72],"information":[73],"into":[74],"system":[77,146],"then":[79],"SRCNN":[81,118],"used":[83],"reconstruct":[85],"resolution":[87],"image.":[88],"other":[90],"words,":[91],"rather":[92],"reconstructing":[94],"whole":[96],"frames":[97,107],"input":[100],"video,":[101],"changed":[102],"regions":[103],"between":[104],"two":[105,125],"consecutive":[106],"are":[108,128],"explored":[109],"processed.":[111],"Only":[112],"unmatched":[113],"patches":[114],"were":[115],"reconstructed":[116],"via":[117],"in":[119,152],"addition,":[124],"additional":[126],"strategies":[127],"speed":[131],"up":[132],"time":[135,151],"reduce":[137],"unexpected":[138],"effects.":[140],"According":[141],"experimental":[142],"results,":[143],"save":[148],"37%":[149],"computation":[150],"one":[153],"test":[154],"with":[156],"dynamic":[157],"changes.":[158]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}