{"id":"https://openalex.org/W3163319229","doi":"https://doi.org/10.1109/icassp39728.2021.9413684","title":"Frame Rate Up-Conversion Using Key Point Agnostic Frequency-Selective Mesh-to-Grid Resampling","display_name":"Frame Rate Up-Conversion Using Key Point Agnostic Frequency-Selective Mesh-to-Grid Resampling","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3163319229","doi":"https://doi.org/10.1109/icassp39728.2021.9413684","mag":"3163319229"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9413684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2210.10444","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050989474","display_name":"Viktoria Heimann","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Viktoria Heimann","raw_affiliation_strings":["Multimedia Communications and Signal Processing Friedrich-Alexander Universit&#x00E4;t,Erlangen-N&#x00FC;rnberg"],"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing Friedrich-Alexander Universit&#x00E4;t,Erlangen-N&#x00FC;rnberg","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042665477","display_name":"Andreas Spruck","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andreas Spruck","raw_affiliation_strings":["Multimedia Communications and Signal Processing Friedrich-Alexander Universit&#x00E4;t,Erlangen-N&#x00FC;rnberg"],"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing Friedrich-Alexander Universit&#x00E4;t,Erlangen-N&#x00FC;rnberg","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062850220","display_name":"Andr\u00e9 Kaup","orcid":"https://orcid.org/0000-0002-0929-5074"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andre Kaup","raw_affiliation_strings":["Multimedia Communications and Signal Processing Friedrich-Alexander Universit&#x00E4;t,Erlangen-N&#x00FC;rnberg"],"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing Friedrich-Alexander Universit&#x00E4;t,Erlangen-N&#x00FC;rnberg","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050989474"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2907,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54428307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1910","last_page":"1914"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/resampling","display_name":"Resampling","score":0.8130720853805542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7485806941986084},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.6495408415794373},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5416219234466553},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.511868417263031},{"id":"https://openalex.org/keywords/inter-frame","display_name":"Inter frame","score":0.5015847682952881},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49788713455200195},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4912335276603699},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4806762635707855},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.43521198630332947},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.43253499269485474},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.42220449447631836},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35322052240371704},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.2256433069705963},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1920335292816162},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11148062348365784},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07954519987106323}],"concepts":[{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.8130720853805542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7485806941986084},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.6495408415794373},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5416219234466553},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.511868417263031},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.5015847682952881},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49788713455200195},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4912335276603699},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4806762635707855},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.43521198630332947},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.43253499269485474},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.42220449447631836},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35322052240371704},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2256433069705963},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1920335292816162},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11148062348365784},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07954519987106323}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp39728.2021.9413684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2210.10444","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2210.10444","pdf_url":"https://arxiv.org/pdf/2210.10444","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2210.10444","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2210.10444","pdf_url":"https://arxiv.org/pdf/2210.10444","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1755205674","https://openalex.org/W2006262236","https://openalex.org/W2041412547","https://openalex.org/W2097615965","https://openalex.org/W2127295759","https://openalex.org/W2477095651","https://openalex.org/W2510924253","https://openalex.org/W2597080166","https://openalex.org/W2904108267","https://openalex.org/W2949258649","https://openalex.org/W3086417996","https://openalex.org/W3109908659"],"related_works":["https://openalex.org/W2120864667","https://openalex.org/W2117554142","https://openalex.org/W2120898383","https://openalex.org/W1981663193","https://openalex.org/W2367517378","https://openalex.org/W1769856625","https://openalex.org/W2402509807","https://openalex.org/W2144181862","https://openalex.org/W1979421866","https://openalex.org/W2003112538"],"abstract_inverted_index":{"High":[0],"frame":[1,15,27,61],"rates":[2],"are":[3,53],"desired":[4],"in":[5,11,116],"many":[6,12],"fields":[7],"of":[8,18,32,136],"application.":[9],"As":[10],"cases":[13],"the":[14,45,50,56,60,83,119,130],"repetition":[16],"rate":[17,28],"an":[19],"already":[20,120],"captured":[21],"video":[22],"has":[23],"to":[24,62,73,113,118,139],"be":[25,63,74],"increased,":[26],"up-conversion":[29],"(FRUC)":[30],"is":[31,47],"high":[33,121],"interest.":[34],"We":[35,81],"conduct":[36],"a":[37,134],"motion":[38,46,57],"compensated":[39],"approach.":[40],"From":[41],"two":[42],"neighboring":[43,51],"frames,":[44],"estimated":[48],"and":[49,95],"pixels":[52,71],"shifted":[54],"along":[55],"vector":[58],"into":[59],"reconstructed.":[64],"For":[65],"displaying,":[66],"these":[67],"irregularly":[68],"distributed":[69],"mesh":[70],"have":[72],"resampled":[75],"onto":[76],"regularly":[77],"spaced":[78],"grid":[79],"positions.":[80],"use":[82],"model-based":[84],"key":[85],"point":[86],"agnostic":[87],"frequency-selective":[88,123],"mesh-to-grid":[89,124],"resampling":[90,125],"(AFSMR)":[91],"for":[92,101],"this":[93],"task":[94],"show":[96],"that":[97,103],"AFSMR":[98,110,128],"works":[99],"best":[100],"applications":[102],"contain":[104],"irregular":[105],"meshes":[106],"with":[107],"varying":[108],"densities.":[109],"gains":[111],"up":[112],"3.2":[114],"dB":[115],"contrast":[117],"performing":[122],"(FSMR).":[126],"Additionally,":[127],"increases":[129],"run":[131],"time":[132],"by":[133],"factor":[135],"11":[137],"relative":[138],"FSMR.":[140]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2021-05-24T00:00:00"}
