{"id":"https://openalex.org/W4403791472","doi":"https://doi.org/10.1145/3664647.3681006","title":"Learning to Handle Large Obstructions in Video Frame Interpolation","display_name":"Learning to Handle Large Obstructions in Video Frame Interpolation","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791472","doi":"https://doi.org/10.1145/3664647.3681006"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681006","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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/A5084919824","display_name":"Libo Long","orcid":"https://orcid.org/0009-0002-7414-1255"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Libo Long","raw_affiliation_strings":["EECS, University of Ottawa, Ottawa, ON, Canada"],"raw_orcid":"https://orcid.org/0009-0002-7414-1255","affiliations":[{"raw_affiliation_string":"EECS, University of Ottawa, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701759","display_name":"Xiao Hu","orcid":"https://orcid.org/0000-0002-8082-8435"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiao Hu","raw_affiliation_strings":["EECS, University of Ottawa, Ottawa, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-8082-8435","affiliations":[{"raw_affiliation_string":"EECS, University of Ottawa, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077679137","display_name":"Jochen Lang","orcid":"https://orcid.org/0000-0002-7769-9548"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jochen Lang","raw_affiliation_strings":["EECS, University of Ottawa, Ottawa, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-7769-9548","affiliations":[{"raw_affiliation_string":"EECS, University of Ottawa, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5221","last_page":"5229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9984999895095825,"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":0.736419677734375},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.703977108001709},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6413751840591431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.556169331073761},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5419721007347107},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.520058810710907},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13585716485977173}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.736419677734375},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.703977108001709},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6413751840591431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.556169331073761},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5419721007347107},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.520058810710907},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13585716485977173}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3681006","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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":39,"referenced_works":["https://openalex.org/W1905052409","https://openalex.org/W2133665775","https://openalex.org/W2156163116","https://openalex.org/W2348664362","https://openalex.org/W2551052086","https://openalex.org/W2604329646","https://openalex.org/W2766255301","https://openalex.org/W2769654144","https://openalex.org/W2949258649","https://openalex.org/W2949903291","https://openalex.org/W2963268050","https://openalex.org/W2964251418","https://openalex.org/W2972016175","https://openalex.org/W2997150500","https://openalex.org/W3034921716","https://openalex.org/W3035236663","https://openalex.org/W3035239272","https://openalex.org/W3043904900","https://openalex.org/W3102015846","https://openalex.org/W3110612869","https://openalex.org/W3132607382","https://openalex.org/W3184828860","https://openalex.org/W3203041407","https://openalex.org/W3206015625","https://openalex.org/W4285594609","https://openalex.org/W4286611274","https://openalex.org/W4288114077","https://openalex.org/W4296841168","https://openalex.org/W4312324876","https://openalex.org/W4312623579","https://openalex.org/W4312770027","https://openalex.org/W4312857869","https://openalex.org/W4319300634","https://openalex.org/W4386066282","https://openalex.org/W4386066450","https://openalex.org/W4386071802","https://openalex.org/W4386076482","https://openalex.org/W4386076577","https://openalex.org/W6704970058"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Video":[0],"frame":[1,82,134],"interpolation":[2,159],"based":[3],"on":[4,21],"optical":[5],"flow":[6],"has":[7],"made":[8],"great":[9],"progress":[10],"in":[11,58,79,132,151],"recent":[12],"years.":[13],"Most":[14],"of":[15,25,54,61,115],"the":[16,23,36,52,59,80,103,113,120,126,149,158],"previous":[17,138],"studies":[18],"have":[19],"focused":[20],"improving":[22],"quality":[24,160],"clean":[26],"videos.":[27],"However,":[28],"many":[29],"real-world":[30],"videos":[31,162],"contain":[32],"large":[33,62,130],"obstructions":[34,108,131],"making":[35],"video":[37,133],"discontinuous.":[38],"To":[39,112],"address":[40],"this":[41,118],"challenge,":[42],"we":[43],"propose":[44],"our":[45,116,143],"Obstruction":[46],"Robustness":[47],"Framework":[48],"(ORF)":[49],"that":[50,74,101,123],"enhances":[51,157],"robustness":[53],"existing":[55],"VFI":[56],"networks":[57],"face":[60],"obstructions.":[63,164],"The":[64],"ORF":[65],"contains":[66],"two":[67],"components:":[68],"(1)":[69],"A":[70,97],"feature":[71],"repair":[72],"module":[73],"first":[75,121],"captures":[76],"ambiguous":[77],"pixels":[78],"synthetic":[81],"by":[83,129],"a":[84,92],"region":[85],"similarity":[86],"map,":[87],"then":[88],"repairs":[89],"them":[90],"with":[91,163],"cross-overlap":[93],"attention":[94],"module.":[95],"(2)":[96],"data":[98],"augmentation":[99],"strategy":[100],"enables":[102],"network":[104],"to":[105],"handle":[106],"dynamic":[107],"without":[109],"extra":[110],"data.":[111],"best":[114],"knowledge,":[117],"is":[119],"work":[122],"explicitly":[124],"addresses":[125],"error":[127],"caused":[128],"interpolation.":[135],"By":[136],"using":[137],"state-of-the-art":[139],"methods":[140],"as":[141],"backbones,":[142],"method":[144],"does":[145],"not":[146],"only":[147],"improve":[148],"results":[150],"original":[152],"benchmarks":[153],"but":[154],"also":[155],"significantly":[156],"for":[161]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}