{"id":"https://openalex.org/W3186492052","doi":"https://doi.org/10.1109/pcs50896.2021.9477475","title":"Switchable Motion Models for Non-Block-Based Inter Prediction in Learning-Based Video Coding","display_name":"Switchable Motion Models for Non-Block-Based Inter Prediction in Learning-Based Video Coding","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3186492052","doi":"https://doi.org/10.1109/pcs50896.2021.9477475","mag":"3186492052"},"language":"en","primary_location":{"id":"doi:10.1109/pcs50896.2021.9477475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs50896.2021.9477475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Picture Coding Symposium (PCS)","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/A5053003385","display_name":"Fabian Brand","orcid":"https://orcid.org/0000-0002-2022-1033"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fabian Brand","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen N\u00fcrnberg (FAU),Erlangen,Germany,91058"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen N\u00fcrnberg (FAU),Erlangen,Germany,91058","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101633542","display_name":"J\u00fcrgen Seiler","orcid":"https://orcid.org/0000-0002-3016-110X"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jurgen Seiler","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen N\u00fcrnberg (FAU),Erlangen,Germany,91058"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen N\u00fcrnberg (FAU),Erlangen,Germany,91058","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062850220","display_name":"Andr\u00e9 Kaup","orcid":"https://orcid.org/0000-0002-0929-5074"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andre Kaup","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen N\u00fcrnberg (FAU),Erlangen,Germany,91058"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen N\u00fcrnberg (FAU),Erlangen,Germany,91058","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3088,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53899712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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":0.9988999962806702,"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":0.7488865852355957},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.7272763252258301},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.668903112411499},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6510125994682312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6509254574775696},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6473783850669861},{"id":"https://openalex.org/keywords/inter-frame","display_name":"Inter frame","score":0.6019847989082336},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5960010290145874},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5805721879005432},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.5623490214347839},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.5545905828475952},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5385995507240295},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4464850425720215},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.4267466068267822},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.4189188480377197},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.3259866237640381},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.22808951139450073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17088574171066284},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.15567508339881897},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07601004838943481}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7488865852355957},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.7272763252258301},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.668903112411499},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6510125994682312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6509254574775696},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6473783850669861},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.6019847989082336},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5960010290145874},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5805721879005432},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.5623490214347839},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5545905828475952},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5385995507240295},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4464850425720215},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.4267466068267822},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.4189188480377197},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.3259866237640381},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.22808951139450073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17088574171066284},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.15567508339881897},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07601004838943481},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pcs50896.2021.9477475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs50896.2021.9477475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Picture Coding Symposium (PCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W65124300","https://openalex.org/W2146395539","https://openalex.org/W2552465432","https://openalex.org/W2575671312","https://openalex.org/W2785562966","https://openalex.org/W2962676454","https://openalex.org/W2964098744","https://openalex.org/W2969260367","https://openalex.org/W3035195755","https://openalex.org/W3047936379","https://openalex.org/W3117442469","https://openalex.org/W6781407732","https://openalex.org/W6787934998"],"related_works":["https://openalex.org/W2048730704","https://openalex.org/W2107776416","https://openalex.org/W2387137110","https://openalex.org/W2116783070","https://openalex.org/W2054296661","https://openalex.org/W2793763794","https://openalex.org/W4223615260","https://openalex.org/W1999877627","https://openalex.org/W2065863567","https://openalex.org/W2074276393"],"abstract_inverted_index":{"Most":[0],"state-of-the-art":[1],"video":[2],"coders":[3],"rely":[4],"on":[5,34,39,47,132],"a":[6,27,35,80],"block":[7,36,72],"structure.":[8],"For":[9,18],"inter-frame":[10],"prediction,":[11],"motion":[12,32,60,77,101,109,146],"vectors":[13,61],"are":[14,116],"transmitted":[15,65],"per":[16],"block.":[17],"example":[19],"in":[20,126],"VVC,":[21],"the":[22,40,48,51,59,69,100,105,108,120,123,148],"coder":[23],"can":[24],"choose":[25],"between":[26,75],"translational":[28],"or":[29],"an":[30,84,91],"affine":[31],"model":[33,102],"level,":[37],"depending":[38],"content.":[41],"In":[42,86],"non-block-based":[43],"coding,":[44],"which":[45],"is":[46],"rise":[49],"since":[50],"development":[52],"of":[53,107,122],"end-to-end":[54],"learning":[55],"based":[56],"image":[57,125],"compression,":[58],"have":[62],"to":[63,68,94,103,118,137],"be":[64],"differently.":[66],"Due":[67],"missing":[70],"inherent":[71],"structure,":[73],"switching":[74],"different":[76],"models":[78],"presents":[79],"challenge,":[81],"but":[82],"also":[83],"opportunity.":[85],"this":[87],"paper,":[88],"we":[89,115],"propose":[90],"alternative":[92],"approach":[93],"efficiently":[95],"signal":[96],"additional":[97],"information":[98],"regarding":[99],"improve":[104],"quality":[106,121],"compensated":[110],"image.":[111],"Using":[112],"our":[113,127],"methods,":[114],"able":[117],"increase":[119],"prediction":[124],"scenario":[128],"by":[129,135],"0.40":[130],"dB":[131,139],"average":[133],"and":[134,144],"up":[136],"0.88":[138],"for":[140],"sequences":[141],"with":[142],"strong":[143],"complex":[145],"at":[147],"same":[149],"rate.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
