{"id":"https://openalex.org/W2513767991","doi":"https://doi.org/10.1109/icip.2016.7532710","title":"Improved higher order motion compensation in HEVC with block-to-block translational shift compensation","display_name":"Improved higher order motion compensation in HEVC with block-to-block translational shift compensation","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2513767991","doi":"https://doi.org/10.1109/icip.2016.7532710","mag":"2513767991"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5075206209","display_name":"Cordula Heithausen","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Cordula Heithausen","raw_affiliation_strings":["Institute of Communications Engineering, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026965144","display_name":"Max Bl\u00e4ser","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Max Blaser","raw_affiliation_strings":["Institute of Communications Engineering, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020321560","display_name":"M Wien","orcid":"https://orcid.org/0000-0002-8724-2752"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mathias Wien","raw_affiliation_strings":["Institute of Communications Engineering, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105716901","display_name":"Jens-Rainer Ohm","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jens-Rainer Ohm","raw_affiliation_strings":["Institute of Communications Engineering, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2008","last_page":"2012"},"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":0.9988999962806702,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.998199999332428,"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/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.8122392892837524},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.7123292684555054},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.7072605490684509},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7054926156997681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7024362087249756},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6780640482902527},{"id":"https://openalex.org/keywords/translational-motion","display_name":"Translational motion","score":0.6418808698654175},{"id":"https://openalex.org/keywords/block-size","display_name":"Block size","score":0.6186901926994324},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.6147057414054871},{"id":"https://openalex.org/keywords/inter-frame","display_name":"Inter frame","score":0.5341656804084778},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"Algorithmic efficiency","score":0.5322691202163696},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5113281607627869},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.47800934314727783},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4233448803424835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4206346869468689},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.2997834086418152},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2596006691455841},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.2574927806854248},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.11767774820327759},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.10446116328239441},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09997305274009705},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08218693733215332}],"concepts":[{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.8122392892837524},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.7123292684555054},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.7072605490684509},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7054926156997681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7024362087249756},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6780640482902527},{"id":"https://openalex.org/C2988296624","wikidata":"https://www.wikidata.org/wiki/Q211459","display_name":"Translational motion","level":2,"score":0.6418808698654175},{"id":"https://openalex.org/C41431624","wikidata":"https://www.wikidata.org/wiki/Q1053357","display_name":"Block size","level":3,"score":0.6186901926994324},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.6147057414054871},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.5341656804084778},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.5322691202163696},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5113281607627869},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.47800934314727783},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4233448803424835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4206346869468689},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2997834086418152},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2596006691455841},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.2574927806854248},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.11767774820327759},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.10446116328239441},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09997305274009705},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08218693733215332},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2016.7532710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.rwth-aachen.de:685745","is_oa":false,"landing_page_url":"https://publications.rwth-aachen.de/search?p=id:%22RWTH-2017-02486%22","pdf_url":null,"source":{"id":"https://openalex.org/S4306401362","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Piscataway, NJ : IEEE 2008-2012 (2016). doi:10.1109/ICIP.2016.7532710","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1597577053","https://openalex.org/W1838550990","https://openalex.org/W1964191662","https://openalex.org/W1980598689","https://openalex.org/W2010472040","https://openalex.org/W2058610062","https://openalex.org/W2147414377"],"related_works":["https://openalex.org/W1899533084","https://openalex.org/W2067734161","https://openalex.org/W1969952874","https://openalex.org/W1983131784","https://openalex.org/W2159172203","https://openalex.org/W2255934649","https://openalex.org/W2117565081","https://openalex.org/W2366173767","https://openalex.org/W202466266","https://openalex.org/W2513767991"],"abstract_inverted_index":{"Conventionally,":[0],"complex":[1],"motion":[2,20,60,89,110,122,166],"in":[3,12,25,112],"video":[4,66],"sequences":[5],"is":[6,83,149,188],"approximated":[7],"by":[8,17,55],"smaller":[9],"block":[10,28,98,127,145,182],"units":[11],"order":[13,59,109,121,170],"to":[14,52,62,85,129,185],"be":[15,53],"representable":[16],"a":[18,26,31,57,125,176],"translational":[19,154],"model.":[21],"This":[22,100],"approximation":[23],"results":[24],"fine":[27],"partitioning":[29],"and":[30,156,163],"high":[32],"prediction":[33,82,118],"error,":[34],"both":[35],"at":[36],"cost":[37],"of":[38,76,80,96,107,119,133,179],"more":[39,87,104],"data":[40,47],"rate":[41],"than":[42],"potentially":[43],"necessary.":[44],"A":[45],"worthwhile":[46],"reduction":[48],"has":[49],"been":[50],"shown":[51],"achievable":[54],"adding":[56],"higher":[58,108,120,169],"model":[61],"the":[63,86,94,131,134,140,153,158,161,164,180],"most":[64],"recent":[65],"coding":[67],"standard,":[68],"High":[69],"Efficiency":[70],"Video":[71],"Coding":[72],"(HEVC).":[73],"The":[74,115],"benefit":[75],"this":[77,113],"additional":[78],"option":[79],"inter-frame":[81],"due":[84],"accurate":[88,117],"compensation":[90],"as":[91,93],"well":[92],"usage":[95],"larger":[97],"sizes.":[99],"paper":[101],"deals":[102],"with":[103],"efficient":[105],"encoding":[106],"parameters":[111,123,171],"context.":[114],"geometrically":[116],"from":[124,172],"neighbored":[126,173],"needs":[128],"consider":[130],"dependency":[132],"block-to-block":[135],"parameter":[136],"difference":[137,159],"based":[138],"on":[139],"spatial":[141],"relation":[142],"between":[143,160],"two":[144],"centers.":[146],"An":[147],"algorithm":[148],"introduced":[150],"for":[151],"correcting":[152],"component":[155],"reducing":[157],"actual":[162],"predicted":[165],"when":[167],"determining":[168],"blocks.":[174],"Additionally,":[175],"further":[177],"increase":[178],"maximum":[181],"size":[183],"up":[184],"512\u00d7512":[186],"pixels":[187],"investigated.":[189]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
