{"id":"https://openalex.org/W4308820763","doi":"https://doi.org/10.23919/spa53010.2022.9928019","title":"Motion Estimation Algorithm Based on Decoded Residual Compensation: A Proof-Of-Concept","display_name":"Motion Estimation Algorithm Based on Decoded Residual Compensation: A Proof-Of-Concept","publication_year":2022,"publication_date":"2022-09-21","ids":{"openalex":"https://openalex.org/W4308820763","doi":"https://doi.org/10.23919/spa53010.2022.9928019"},"language":"en","primary_location":{"id":"doi:10.23919/spa53010.2022.9928019","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa53010.2022.9928019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","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/A5051188961","display_name":"Lee Sze Foo","orcid":null},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Lee Sze Foo","raw_affiliation_strings":["Universiti Tunku Abdul Rahman,Malaysia","UTAR - Universiti Tunku Abdul Rahman (Malaysia)"],"affiliations":[{"raw_affiliation_string":"Universiti Tunku Abdul Rahman,Malaysia","institution_ids":["https://openalex.org/I931681460"]},{"raw_affiliation_string":"UTAR - Universiti Tunku Abdul Rahman (Malaysia)","institution_ids":["https://openalex.org/I931681460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035263631","display_name":"Anissa Mokraoui","orcid":"https://orcid.org/0000-0001-6447-8722"},"institutions":[{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Anissa Mokraoui","raw_affiliation_strings":["L2TI, Universit&#x00E9; Sorbonne Paris Nord,France"],"affiliations":[{"raw_affiliation_string":"L2TI, Universit&#x00E9; Sorbonne Paris Nord,France","institution_ids":["https://openalex.org/I4210091279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104180799","display_name":"Fangchen Feng","orcid":"https://orcid.org/0000-0002-3158-3443"},"institutions":[{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fangchen Feng","raw_affiliation_strings":["L2TI, Universit&#x00E9; Sorbonne Paris Nord,France"],"affiliations":[{"raw_affiliation_string":"L2TI, Universit&#x00E9; Sorbonne Paris Nord,France","institution_ids":["https://openalex.org/I4210091279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041422381","display_name":"Yoong Choon Chang","orcid":"https://orcid.org/0000-0002-4065-1639"},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Yoong Choon Chang","raw_affiliation_strings":["Universiti Tunku Abdul Rahman,Malaysia","UTAR - Universiti Tunku Abdul Rahman (Malaysia)"],"affiliations":[{"raw_affiliation_string":"Universiti Tunku Abdul Rahman,Malaysia","institution_ids":["https://openalex.org/I931681460"]},{"raw_affiliation_string":"UTAR - Universiti Tunku Abdul Rahman (Malaysia)","institution_ids":["https://openalex.org/I931681460"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051188961"],"corresponding_institution_ids":["https://openalex.org/I931681460"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12733861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"92","last_page":"97"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":1.0,"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":1.0,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9987999796867371,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9984999895095825,"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/motion-estimation","display_name":"Motion estimation","score":0.7545062899589539},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7433443069458008},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.7066876292228699},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.7064845561981201},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.6764890551567078},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6040536165237427},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5960093140602112},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5947921872138977},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5299155712127686},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.52741539478302},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49868106842041016},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.45917510986328125},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.43762046098709106},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3882734477519989},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2901701331138611},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.13511210680007935}],"concepts":[{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.7545062899589539},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7433443069458008},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.7066876292228699},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.7064845561981201},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.6764890551567078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6040536165237427},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5960093140602112},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5947921872138977},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5299155712127686},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.52741539478302},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49868106842041016},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.45917510986328125},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.43762046098709106},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3882734477519989},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2901701331138611},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.13511210680007935},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/spa53010.2022.9928019","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa53010.2022.9928019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04761624v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04761624","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), Sep 2022, Poznan, France. pp.92-97, &#x27E8;10.23919/SPA53010.2022.9928019&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1603895355","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2334636550","https://openalex.org/W2969260367","https://openalex.org/W3005809073","https://openalex.org/W3135530072","https://openalex.org/W3194548585","https://openalex.org/W3203234039","https://openalex.org/W6802036239"],"related_works":["https://openalex.org/W1969136679","https://openalex.org/W2049273678","https://openalex.org/W1967654336","https://openalex.org/W4285350705","https://openalex.org/W2060632806","https://openalex.org/W839483973","https://openalex.org/W2143589929","https://openalex.org/W1579940903","https://openalex.org/W2366349316","https://openalex.org/W2120898383"],"abstract_inverted_index":{"In":[0],"most":[1],"video":[2,12],"coding":[3],"standards,":[4],"the":[5,16,24,29,32,56,66,73,76,81,84,100,106,112,116,125],"reduction":[6],"of":[7,75,83,108,127],"temporal":[8],"redundancy":[9],"in":[10,115,124],"a":[11,90,94],"is":[13,48],"based":[14,129],"on":[15,80,130],"traditional":[17,101],"block-matching":[18],"algorithm":[19,63,88],"(BMA).":[20],"It":[21],"first":[22],"estimates":[23,65],"motion":[25,67,117],"vectors":[26,68],"that":[27,64],"minimize":[28],"distortion":[30],"between":[31,41],"original":[33],"image":[34,79,114],"and":[35,51,121],"its":[36,52],"predicted":[37,57],"version.":[38],"The":[39],"difference":[40],"these":[42],"two":[43],"images,":[44],"i.e.":[45],"residual":[46,78],"image,":[47],"then":[49],"encoded":[50],"decoded":[53,77],"version":[54],"compensates":[55],"image.":[58,86],"This":[59,87,103],"paper":[60],"proposes":[61],"an":[62],"while":[69],"taking":[70,109],"into":[71,110],"account":[72,111],"impact":[74],"quality":[82],"compensated":[85,113],"provides":[89],"higher":[91],"PSNR":[92],"for":[93],"given":[95],"bit":[96],"rate":[97],"compared":[98],"to":[99],"method.":[102],"proof-of-concept":[104],"shows":[105],"importance":[107],"vector":[118],"estimation":[119],"process":[120],"should":[122],"help":[123],"design":[126],"solutions":[128],"deep":[131],"neural":[132],"networks.":[133]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
