{"id":"https://openalex.org/W2067728284","doi":"https://doi.org/10.1109/icassp.2002.5745384","title":"A neighborhood-blocks motion estimation technique using the pyramidal data structure","display_name":"A neighborhood-blocks motion estimation technique using the pyramidal data structure","publication_year":2002,"publication_date":"2002-05-01","ids":{"openalex":"https://openalex.org/W2067728284","doi":"https://doi.org/10.1109/icassp.2002.5745384","mag":"2067728284"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2002.5745384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5745384","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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/A5068820891","display_name":"M. Omair Ahmad","orcid":"https://orcid.org/0000-0002-2924-6659"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Omair Ahmad","raw_affiliation_strings":["Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada","Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, 1455 de Maisonneuve Blvd. West, Montr\u00e9al, Queb\u00e9c, Canada H3G 1M8"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, 1455 de Maisonneuve Blvd. West, Montr\u00e9al, Queb\u00e9c, Canada H3G 1M8","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108787454","display_name":"Jinwen Zan","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jinwen Zan","raw_affiliation_strings":["Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada","Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, 1455 de Maisonneuve Blvd. West, Montr\u00e9al, Queb\u00e9c, Canada H3G 1M8"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, 1455 de Maisonneuve Blvd. West, Montr\u00e9al, Queb\u00e9c, Canada H3G 1M8","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013967994","display_name":"M.N.S. Swamy","orcid":"https://orcid.org/0000-0002-3989-5476"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M.N.S. Swamy","raw_affiliation_strings":["Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada","Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, 1455 de Maisonneuve Blvd. West, Montr\u00e9al, Queb\u00e9c, Canada H3G 1M8"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, 1455 de Maisonneuve Blvd. West, Montr\u00e9al, Queb\u00e9c, Canada H3G 1M8","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":1.8849,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83709273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"IV","last_page":"3401"},"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":0.9998000264167786,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"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":0.7777299284934998},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.7358126640319824},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.731092095375061},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6457803249359131},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5734012722969055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5650407075881958},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.5357152223587036},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5290778279304504},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.4613149166107178},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.41370707750320435},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37222349643707275},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3632389307022095},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06210201978683472}],"concepts":[{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.7777299284934998},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.7358126640319824},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.731092095375061},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6457803249359131},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5734012722969055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5650407075881958},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.5357152223587036},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5290778279304504},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.4613149166107178},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.41370707750320435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37222349643707275},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3632389307022095},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06210201978683472},{"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/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2002.5745384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5745384","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Acoustics Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2103504761","https://openalex.org/W2129652681","https://openalex.org/W2136844598","https://openalex.org/W2140808157"],"related_works":["https://openalex.org/W2049273678","https://openalex.org/W2518504864","https://openalex.org/W1501297619","https://openalex.org/W2140220292","https://openalex.org/W2114932415","https://openalex.org/W2024782789","https://openalex.org/W2026674073","https://openalex.org/W2039736575","https://openalex.org/W1964420331","https://openalex.org/W2392507104"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,16,115],"pyramidal":[4,17,31,94],"motion":[5,13,25,34,48,53,66,75,88,95,109,138],"estimation":[6,96],"technique":[7],"that":[8,77,114],"makes":[9],"use":[10],"of":[11,22,63,105,107,124,133],"the":[12,24,28,40,44,47,51,79,86,92,98,103,125,131,137],"correlation":[14],"within":[15],"level":[18,32],"is":[19,37,68,83,119],"proposed.":[20],"Instead":[21],"scaling":[23],"vectors":[26,49,67],"from":[27,50],"adjacent":[29],"lower":[30],"as":[33,36,59,85],"predictions":[35],"done":[38],"in":[39,43,122],"conventional":[41,93],"technique,":[42,46,97],"proposed":[45,99],"neighboring":[52],"blocks":[54],"are":[55],"taken":[56],"into":[57],"consideration":[58],"possible":[60],"candidates.":[61],"Each":[62],"these":[64],"candidate":[65],"used":[69],"for":[70,136],"prediction":[71,126],"and":[72,130],"refined.":[73],"The":[74],"vector":[76],"has":[78],"least":[80],"matching":[81],"distortion":[82],"chosen":[84],"final":[87],"vector.":[89],"Compared":[90],"to":[91],"method":[100],"effectively":[101],"overcomes":[102],"problem":[104],"propagation":[106],"false":[108],"vectors.":[110,139],"Simulation":[111],"studies":[112],"show":[113],"substantial":[116],"performance":[117],"improvement":[118],"achieved,":[120],"both":[121],"terms":[123],"mean":[127],"square":[128],"error":[129],"number":[132],"coding":[134],"bits":[135]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}