{"id":"https://openalex.org/W2138575024","doi":"https://doi.org/10.1109/icip.2005.1529942","title":"Motion estimation using quad-tree phase correlation","display_name":"Motion estimation using quad-tree phase correlation","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2138575024","doi":"https://doi.org/10.1109/icip.2005.1529942","mag":"2138575024"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2005.1529942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1529942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","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/A5013565466","display_name":"Vasileios Argyriou","orcid":"https://orcid.org/0000-0003-4679-8049"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"V. Argyriou","raw_affiliation_strings":["CVSSP Guildford, University of Surrey, UK","CVSSP, Surrey Univ., Guildford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CVSSP Guildford, University of Surrey, UK","institution_ids":["https://openalex.org/I28290843"]},{"raw_affiliation_string":"CVSSP, Surrey Univ., Guildford, UK","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111567020","display_name":"T. Vlachos","orcid":null},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"T. Vlachos","raw_affiliation_strings":["CVSSP Guildford, University of Surrey, UK","CVSSP, Surrey Univ., Guildford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CVSSP Guildford, University of Surrey, UK","institution_ids":["https://openalex.org/I28290843"]},{"raw_affiliation_string":"CVSSP, Surrey Univ., Guildford, UK","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8973,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77976588,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"119","issue":null,"first_page":"I","last_page":"1081"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9970999956130981,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9970999956130981,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.996399998664856,"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":0.9887999892234802,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.6683923602104187},{"id":"https://openalex.org/keywords/inter-frame","display_name":"Inter frame","score":0.6612223386764526},{"id":"https://openalex.org/keywords/subpixel-rendering","display_name":"Subpixel rendering","score":0.5862147212028503},{"id":"https://openalex.org/keywords/phase-correlation","display_name":"Phase correlation","score":0.5285181999206543},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5161265134811401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4980032444000244},{"id":"https://openalex.org/keywords/quadtree","display_name":"Quadtree","score":0.477168470621109},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.47497671842575073},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.47105857729911804},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4682878851890564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46311962604522705},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.45134374499320984},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.450467050075531},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.4225325584411621},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41877004504203796},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4159106910228729},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.41219645738601685},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.19117692112922668},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.18561062216758728},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.10456317663192749},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.08397462964057922},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08350545167922974},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07793796062469482}],"concepts":[{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6683923602104187},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.6612223386764526},{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.5862147212028503},{"id":"https://openalex.org/C93509452","wikidata":"https://www.wikidata.org/wiki/Q7180943","display_name":"Phase correlation","level":5,"score":0.5285181999206543},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5161265134811401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4980032444000244},{"id":"https://openalex.org/C151416825","wikidata":"https://www.wikidata.org/wiki/Q934791","display_name":"Quadtree","level":2,"score":0.477168470621109},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.47497671842575073},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.47105857729911804},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4682878851890564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46311962604522705},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.45134374499320984},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.450467050075531},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.4225325584411621},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41877004504203796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4159106910228729},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.41219645738601685},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.19117692112922668},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.18561062216758728},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.10456317663192749},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.08397462964057922},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08350545167922974},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07793796062469482},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.0},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2005.1529942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1529942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.kingston.ac.uk:21417","is_oa":false,"landing_page_url":"http://eprints.kingston.ac.uk/id/eprint/21417/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400991","display_name":"Research Repository (Kingston University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801636071","host_organization_name":"Kingston Hospital NHS Trust","host_organization_lineage":["https://openalex.org/I2801636071"],"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 or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1629654683","https://openalex.org/W1965236273","https://openalex.org/W1970363108","https://openalex.org/W1980930830","https://openalex.org/W1984384190","https://openalex.org/W1991900232","https://openalex.org/W2026593393","https://openalex.org/W2066651826","https://openalex.org/W2084157839","https://openalex.org/W2115447092","https://openalex.org/W2144406501","https://openalex.org/W2147280136","https://openalex.org/W2148000151","https://openalex.org/W4237405515","https://openalex.org/W4285719527","https://openalex.org/W6636729811","https://openalex.org/W6671459417","https://openalex.org/W6681665647"],"related_works":["https://openalex.org/W2171560940","https://openalex.org/W2141859333","https://openalex.org/W1913366499","https://openalex.org/W1899533084","https://openalex.org/W2391262585","https://openalex.org/W2897103380","https://openalex.org/W1985149808","https://openalex.org/W2341668559","https://openalex.org/W2158453800","https://openalex.org/W2071708816"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,37,51,58,74,90],"quad-tree":[3],"scheme":[4,17,88],"for":[5,113,129],"obtaining":[6],"subpixel":[7],"estimates":[8],"of":[9,27,36,54,61,93,107,117,124,126,133],"interframe":[10],"motion":[11,55,62,76,109,118,127,134],"in":[12,105,122],"the":[13,28,34,114,130],"frequency":[14],"domain.":[15],"Our":[16,83],"is":[18,47,66],"based":[19],"on":[20],"phase":[21,29,103],"correlation":[22,30,104],"and":[23,98,120],"uses":[24],"key":[25],"features":[26],"surface":[31],"to":[32,40,95],"control":[33],"partition":[35,45],"parent":[38],"block":[39,79,101],"four":[41],"children":[42],"quadrants.":[43],"The":[44],"criterion":[46],"applied":[48],"iteratively":[49],"until":[50],"target":[52,59],"number":[53,116,125],"vectors":[56,119,128],"or":[57],"level":[60,92,132],"compensated":[63,110,135],"prediction":[64,111,136],"error":[65,112],"achieved":[67],"or,":[68],"ultimately,":[69],"if":[70],"no":[71],"more":[72],"than":[73],"single":[75],"component":[77],"per":[78],"can":[80],"be":[81],"identified.":[82],"results":[84],"show":[85],"that":[86],"our":[87],"provides":[89],"better":[91],"adaptation":[94],"scene":[96],"contents":[97],"outperforms":[99],"fixed":[100],"size":[102],"terms":[106,123],"total":[108],"same":[115,131],"also":[121],"error.":[137]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
