{"id":"https://openalex.org/W2012446094","doi":"https://doi.org/10.1109/mmsp.2011.6093780","title":"Learning-based video super-resolution reconstruction using particle swarm optimization","display_name":"Learning-based video super-resolution reconstruction using particle swarm optimization","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2012446094","doi":"https://doi.org/10.1109/mmsp.2011.6093780","mag":"2012446094"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2011.6093780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2011.6093780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 13th International Workshop on Multimedia Signal Processing","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/A5103023454","display_name":"Hsuan\u2010Ying Chen","orcid":"https://orcid.org/0000-0003-1424-3540"},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsuan-Ying Chen","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Chung Cheng University, Taiwan","Dept. of Comput. Sci. and Inf. Eng., Nat. Chung Cheng Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Chung Cheng University, Taiwan","institution_ids":["https://openalex.org/I148099254"]},{"raw_affiliation_string":"Dept. of Comput. Sci. and Inf. Eng., Nat. Chung Cheng Univ","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109006511","display_name":"Jin-Jang Leou","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jin-Jang Leou","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Chung Cheng University, Taiwan","Dept. of Comput. Sci. and Inf. Eng., Nat. Chung Cheng Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Chung Cheng University, Taiwan","institution_ids":["https://openalex.org/I148099254"]},{"raw_affiliation_string":"Dept. of Comput. Sci. and Inf. Eng., Nat. Chung Cheng Univ","institution_ids":["https://openalex.org/I148099254"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I148099254"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0869135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"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":0.9987999796867371,"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":0.9927999973297119,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7571154832839966},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7493950128555298},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7161152362823486},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6853294968605042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.668175458908081},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.6458972096443176},{"id":"https://openalex.org/keywords/bicubic-interpolation","display_name":"Bicubic interpolation","score":0.5475214719772339},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5180673599243164},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4892835319042206},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4859267771244049},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.46149882674217224},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.439611554145813},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3020763397216797},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2603483498096466},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2271694839000702},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0886002779006958},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.05951136350631714}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7571154832839966},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7493950128555298},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7161152362823486},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6853294968605042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.668175458908081},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6458972096443176},{"id":"https://openalex.org/C49608258","wikidata":"https://www.wikidata.org/wiki/Q611705","display_name":"Bicubic interpolation","level":4,"score":0.5475214719772339},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5180673599243164},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4892835319042206},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4859267771244049},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.46149882674217224},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.439611554145813},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3020763397216797},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2603483498096466},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2271694839000702},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0886002779006958},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.05951136350631714},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2011.6093780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2011.6093780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 13th International Workshop on Multimedia Signal Processing","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":9,"referenced_works":["https://openalex.org/W2026408909","https://openalex.org/W2057817757","https://openalex.org/W2064242997","https://openalex.org/W2067042811","https://openalex.org/W2103559027","https://openalex.org/W2109364787","https://openalex.org/W2137290314","https://openalex.org/W2150406417","https://openalex.org/W2152195021"],"related_works":["https://openalex.org/W2785996895","https://openalex.org/W2347570911","https://openalex.org/W3115246745","https://openalex.org/W2312819606","https://openalex.org/W3140377186","https://openalex.org/W2391781224","https://openalex.org/W2393646612","https://openalex.org/W3098848838","https://openalex.org/W2537408670","https://openalex.org/W1965891716"],"abstract_inverted_index":{"In":[0],"this":[1,113],"study,":[2,114],"a":[3,18],"learning-based":[4],"video":[5,46,58],"super-resolution":[6],"(SR)":[7],"reconstruction":[8,67,98,117],"approach":[9,122,138],"using":[10,63],"particle":[11],"swarm":[12],"optimization":[13],"(PSO)":[14],"is":[15,27,35,139],"proposed.":[16],"First,":[17],"5\u00d75\u00d75":[19],"motion-compensated":[20,25],"volume":[21,34,76],"containing":[22],"five":[23],"5\u00d75":[24],"patches":[26],"extracted":[28],"and":[29,77,149,151],"the":[30,33,41,49,53,64,72,75,78,81,88,94,108,115,120,132,136,156],"orientation":[31,73],"of":[32,52,74,80,119,127,135,143,155],"determined":[36],"for":[37,92],"each":[38],"pixel":[39,50],"in":[40,96,112],"\u201ccentral\u201d":[42,54],"reference":[43,55],"low-resolution":[44],"(LR)":[45],"frame.":[47],"Then,":[48],"values":[51],"high-resolution":[56],"(HR)":[57],"frame":[59],"are":[60,104,123],"reconstructed":[61],"by":[62],"corresponding":[65],"SR":[66,97,116],"filtering":[68,99],"masks,":[69,100],"based":[70],"on":[71,107],"coordinates":[79],"pixels":[82],"to":[83],"be":[84],"reconstructed.":[85],"To":[86],"simplify":[87],"PSO":[89],"learning":[90],"processes":[91],"determining":[93],"weights":[95],"simple":[101],"mask":[102],"flippings":[103],"employed.":[105],"Based":[106],"experimental":[109],"results":[110,118],"obtained":[111],"proposed":[121,137],"better":[124],"than":[125,141,153],"those":[126,142],"three":[128],"comparison":[129,146,158],"approaches,":[130,147],"whereas":[131],"computational":[133],"complexity":[134],"higher":[140],"two":[144],"\u201csimple\u201d":[145],"NN":[148],"Bicubic,":[150],"lower":[152],"that":[154],"recent":[157],"approach,":[159],"modified":[160],"NLM.":[161]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}