{"id":"https://openalex.org/W4399418653","doi":"https://doi.org/10.1145/3651671.3651681","title":"Generative-AI- and Optical-Flow-Based Aspect Ratio Enhancement of Videos","display_name":"Generative-AI- and Optical-Flow-Based Aspect Ratio Enhancement of Videos","publication_year":2024,"publication_date":"2024-02-02","ids":{"openalex":"https://openalex.org/W4399418653","doi":"https://doi.org/10.1145/3651671.3651681"},"language":"en","primary_location":{"id":"doi:10.1145/3651671.3651681","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3651671.3651681","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3651671.3651681","source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3651671.3651681","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075255784","display_name":"Tomasz Palczewski","orcid":"https://orcid.org/0000-0003-4535-2774"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]},{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tomasz Jan Palczewski","raw_affiliation_strings":["Visual Display Intelligence Lab, Samsung Research America, USA"],"raw_orcid":"https://orcid.org/0000-0003-4535-2774","affiliations":[{"raw_affiliation_string":"Visual Display Intelligence Lab, Samsung Research America, USA","institution_ids":["https://openalex.org/I4210101778","https://openalex.org/I4210133173"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102909281","display_name":"Anirudh Rao","orcid":"https://orcid.org/0009-0003-5307-8936"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]},{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anirudh Rao","raw_affiliation_strings":["Visual Display Intelligence Lab, Samsung Research America, USA"],"raw_orcid":"https://orcid.org/0009-0003-5307-8936","affiliations":[{"raw_affiliation_string":"Visual Display Intelligence Lab, Samsung Research America, USA","institution_ids":["https://openalex.org/I4210101778","https://openalex.org/I4210133173"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076910439","display_name":"Yingnan Zhu","orcid":"https://orcid.org/0009-0000-5709-1335"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]},{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingnan Zhu","raw_affiliation_strings":["Visual Display Intelligence Lab, Samsung Research America, USA"],"raw_orcid":"https://orcid.org/0009-0000-5709-1335","affiliations":[{"raw_affiliation_string":"Visual Display Intelligence Lab, Samsung Research America, USA","institution_ids":["https://openalex.org/I4210101778","https://openalex.org/I4210133173"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075255784"],"corresponding_institution_ids":["https://openalex.org/I4210101778","https://openalex.org/I4210133173"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06964111,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"355","last_page":"362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9980000257492065,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9980000257492065,"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":0.9933000206947327,"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":0.9922000169754028,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7060849666595459},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.5853997468948364},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5354118347167969},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.5209664106369019},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5081722736358643},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5069347023963928},{"id":"https://openalex.org/keywords/aspect-ratio","display_name":"Aspect ratio (aeronautics)","score":0.49764493107795715},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4681952893733978},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.4445981979370117},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4145280122756958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38346949219703674},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26523005962371826}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7060849666595459},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.5853997468948364},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5354118347167969},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.5209664106369019},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5081722736358643},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5069347023963928},{"id":"https://openalex.org/C82558694","wikidata":"https://www.wikidata.org/wiki/Q1545619","display_name":"Aspect ratio (aeronautics)","level":2,"score":0.49764493107795715},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4681952893733978},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.4445981979370117},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4145280122756958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38346949219703674},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26523005962371826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3651671.3651681","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3651671.3651681","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3651671.3651681","source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3651671.3651681","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3651671.3651681","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3651671.3651681","source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399418653.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4299831724","https://openalex.org/W4283803360"],"abstract_inverted_index":{"The":[0],"global":[1],"ultra-wide":[2],"display":[3],"market":[4],"is":[5,20],"growing":[6],"rapidly":[7],"due":[8],"to":[9,38,42,48,57],"widespread":[10],"consumer":[11],"adoption.":[12],"However,":[13],"existing":[14],"content,":[15],"especially":[16],"on":[17],"TV":[18],"screens,":[19],"mainly":[21],"designed":[22],"for":[23,63,75],"lower":[24],"aspect":[25,77],"ratios":[26,78],"like":[27],"4:3.":[28],"As":[29],"TVs":[30],"shift":[31,53],"towards":[32],"wider":[33],"formats,":[34],"there\u2019s":[35],"a":[36,40,80],"need":[37],"develop":[39],"method":[41],"transform":[43],"legacy":[44],"content":[45,60,65,74],"and":[46,67],"adapt":[47],"varying":[49],"screen":[50],"sizes.":[51],"This":[52],"holds":[54],"the":[55,59],"potential":[56],"revolutionize":[58],"viewing":[61],"experience":[62],"gamers,":[64],"creators,":[66],"streaming":[68],"enthusiasts.":[69],"While":[70],"delivering":[71],"high-quality":[72],"visual":[73],"dynamic":[76],"remains":[79],"challenge,":[81],"recent":[82],"advancements":[83],"in":[84,89],"Deep":[85],"Learning":[86],"show":[87],"promise":[88],"addressing":[90],"these":[91],"problems":[92],"with":[93],"generative":[94],"approaches.":[95]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
