{"id":"https://openalex.org/W2060398680","doi":"https://doi.org/10.1109/icip.2009.5413398","title":"Higher order prediction for sub-pixel motion estimation","display_name":"Higher order prediction for sub-pixel motion estimation","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2060398680","doi":"https://doi.org/10.1109/icip.2009.5413398","mag":"2060398680"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5413398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.lib.uts.edu.au/bitstream/10453/11881/3/2009001953_Mudugamuwa.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035401172","display_name":"Damith J. Mudugamuwa","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Damith J. Mudugamuwa","raw_affiliation_strings":["University of Technology Sydney, Sydney, NSW, AU","Centre for Innovation in IT Services and Applications University of Technology, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, NSW, AU","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Centre for Innovation in IT Services and Applications University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006921134","display_name":"Xiangjian He","orcid":"https://orcid.org/0000-0001-8962-540X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["AU","JP"],"is_corresponding":false,"raw_author_name":"Xiangjian He","raw_affiliation_strings":["Lab of Biomedical Information Technology, University of Aizu, Japan","Centre for Innovation in IT Services and Applications University of Technology, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab of Biomedical Information Technology, University of Aizu, Japan","institution_ids":["https://openalex.org/I141591182"]},{"raw_affiliation_string":"Centre for Innovation in IT Services and Applications University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111450648","display_name":"Chunghyun Ahn","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["AU","KR"],"is_corresponding":false,"raw_author_name":"Chung-Hyun Ahn","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, South Korea","Centre for Innovation in IT Services and Applications University of Technology, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, South Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Centre for Innovation in IT Services and Applications University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082331727","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0001-7561-9076"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Institute of Image processing and pattern recognication, Shanghai Jiaotong University, China","Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image processing and pattern recognication, Shanghai Jiaotong University, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.657,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70933124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1585","last_page":"1588"},"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":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.6958650350570679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6585311889648438},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6576979756355286},{"id":"https://openalex.org/keywords/block-size","display_name":"Block size","score":0.6319838762283325},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6319146752357483},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5164659023284912},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5098428130149841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49728110432624817},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.48722925782203674},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4827508330345154},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.4730980694293976},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4154578447341919},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28567296266555786},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09257662296295166},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.08506929874420166}],"concepts":[{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6958650350570679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6585311889648438},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6576979756355286},{"id":"https://openalex.org/C41431624","wikidata":"https://www.wikidata.org/wiki/Q1053357","display_name":"Block size","level":3,"score":0.6319838762283325},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6319146752357483},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5164659023284912},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5098428130149841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49728110432624817},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.48722925782203674},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4827508330345154},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.4730980694293976},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4154578447341919},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28567296266555786},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09257662296295166},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.08506929874420166},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2009.5413398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/11881","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/11881","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/11881/3/2009001953_Mudugamuwa.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/11881","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/11881","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/11881/3/2009001953_Mudugamuwa.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2060398680.pdf","grobid_xml":"https://content.openalex.org/works/W2060398680.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W178701193","https://openalex.org/W1975840851","https://openalex.org/W1978890143","https://openalex.org/W2003150827","https://openalex.org/W2087380704","https://openalex.org/W2099412590","https://openalex.org/W2110057528","https://openalex.org/W2111417109","https://openalex.org/W2131324979","https://openalex.org/W2141109916","https://openalex.org/W2147555557","https://openalex.org/W6607201821"],"related_works":["https://openalex.org/W2163580946","https://openalex.org/W2544864643","https://openalex.org/W2042607099","https://openalex.org/W614590117","https://openalex.org/W2016594828","https://openalex.org/W2166572289","https://openalex.org/W2081203487","https://openalex.org/W1989248078","https://openalex.org/W1539252659","https://openalex.org/W2558584120"],"abstract_inverted_index":{"Estimating":[0],"motion":[1,29],"between":[2],"two":[3],"frames":[4,45],"of":[5,60,77,92,104,134],"a":[6,14,147],"video":[7],"sequence,":[8],"up":[9,31],"to":[10,32,41,73,84,89,142],"sub-pixel":[11],"accuracy,":[12],"is":[13],"critical":[15],"task":[16],"for":[17,28],"many":[18],"image":[19,126],"processing":[20],"applications.":[21],"Efficient":[22],"block":[23,38,79,105],"matching":[24,80,106],"algorithms":[25,40],"were":[26],"proposed":[27,71],"estimation":[30],"pixel":[33],"accuracy.":[34],"Applying":[35],"these":[36],"fast":[37],"search":[39,61,87],"up-sampled":[42],"and":[43,63,82,109],"interpolated":[44],"can":[46],"produce":[47],"good":[48],"results":[49,133],"but":[50],"with":[51,145],"significant":[52],"increase":[53,149],"in":[54,139,150],"computations.":[55],"To":[56],"reduce":[57],"the":[58,65,75,86,90,93,101,118,151],"number":[59],"points,":[62],"therefore":[64],"computational":[66,152],"cost,":[67],"quadratic":[68,143],"prediction":[69,115,144],"was":[70],"earlier":[72],"predict":[74],"location":[76],"minimum":[78],"error,":[81],"then":[83],"limit":[85],"window":[88],"vicinity":[91],"predicted":[94],"location.":[95],"In":[96],"this":[97],"paper":[98],"we":[99],"investigate":[100],"typical":[102],"behavior":[103],"error":[107,119],"surface":[108,120],"propose":[110],"an":[111],"improved":[112],"higher":[113],"order":[114],"that":[116],"models":[117],"more":[121,137],"accurately,":[122],"utilizing":[123],"additional":[124],"local":[125],"behavior.":[127],"Initial":[128],"experiments":[129],"have":[130],"proved":[131],"promising":[132],"about":[135],"50%":[136],"improvement":[138],"PSNR":[140],"compared":[141],"only":[146],"marginal":[148],"cost.":[153]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
