{"id":"https://openalex.org/W2053747117","doi":"https://doi.org/10.1109/icdsp.2013.6622827","title":"Edge-aware temporally consistent SimpleFlow: Optical flow without global optimization","display_name":"Edge-aware temporally consistent SimpleFlow: Optical flow without global optimization","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2053747117","doi":"https://doi.org/10.1109/icdsp.2013.6622827","mag":"2053747117"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2013.6622827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2013.6622827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 18th International Conference on Digital Signal Processing (DSP)","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/A5025653663","display_name":"Raymond Phan","orcid":null},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Raymond Phan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ryerson University, Toronto, ONT, Canada","[Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada]","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113967384","display_name":"Dimitrios Androutsos","orcid":"https://orcid.org/0009-0009-4892-6324"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dimitrios Androutsos","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ryerson University, Toronto, ONT, Canada","[Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada]","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025653663"],"corresponding_institution_ids":["https://openalex.org/I530967"],"apc_list":null,"apc_paid":null,"fwci":0.2722,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60334103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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":0.9990000128746033,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9986000061035156,"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/optical-flow","display_name":"Optical flow","score":0.8142409920692444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8029682636260986},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6390348076820374},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6217387318611145},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6084981560707092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5835781097412109},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5816802382469177},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5326001048088074},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5024745464324951},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.48252102732658386},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.41340941190719604},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.372843861579895},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2671743631362915}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.8142409920692444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8029682636260986},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6390348076820374},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6217387318611145},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6084981560707092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5835781097412109},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5816802382469177},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5326001048088074},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5024745464324951},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.48252102732658386},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.41340941190719604},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.372843861579895},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2671743631362915},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdsp.2013.6622827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2013.6622827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 18th International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W79127031","https://openalex.org/W1578285471","https://openalex.org/W1968589407","https://openalex.org/W2019904315","https://openalex.org/W2020368789","https://openalex.org/W2065533005","https://openalex.org/W2118877769","https://openalex.org/W2131071980","https://openalex.org/W2137549153","https://openalex.org/W2147253850","https://openalex.org/W2751023760","https://openalex.org/W4244187964","https://openalex.org/W4247811648","https://openalex.org/W6677548441"],"related_works":["https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W4390494008","https://openalex.org/W2030154815","https://openalex.org/W2051121715","https://openalex.org/W2971088694","https://openalex.org/W1929254672","https://openalex.org/W2359378574"],"abstract_inverted_index":{"Optical":[0],"Flow":[1],"is":[2],"a":[3,29,95],"very":[4],"important":[5],"topic":[6],"in":[7,12,56,108,110],"computer":[8],"vision,":[9],"with":[10,37],"applications":[11],"object":[13],"tracking,":[14],"motion":[15,97],"estimation":[16],"and":[17,48,75,89,119],"video":[18],"compression.":[19],"Recently,":[20],"Tao":[21],"et":[22],"al.":[23],"proposed":[24],"the":[25,38,100,113],"Simple-Flow":[26],"algorithm":[27],"-":[28],"non-iterative":[30],"method":[31],"whose":[32],"running":[33],"times":[34],"increase":[35,73,107],"sublinearly":[36],"number":[39],"of":[40,68,86],"pixels.":[41],"SimpleFlow":[42,64,77,115],"does":[43],"not":[44],"use":[45],"global":[46],"optimization":[47],"uses":[49],"only":[50],"local":[51],"evidence,":[52],"achieving":[53],"significant":[54],"speedups":[55],"parallel":[57],"programming":[58],"environments.":[59],"With":[60],"this,":[61],"we":[62],"extend":[63],"by":[65],"taking":[66],"advantage":[67],"edge-aware":[69,90],"filtering":[70,91],"methods":[71],"to":[72,78,112],"accuracy,":[74],"allow":[76],"be":[79],"temporally":[80],"consistent":[81],"over":[82],"video.":[83,101],"The":[84],"combination":[85],"temporal":[87],"consistency":[88],"will":[92],"inevitably":[93],"create":[94],"smooth":[96],"field":[98],"across":[99],"We":[102],"show":[103],"results":[104],"illustrating":[105],"an":[106],"accuracy":[109],"comparison":[111],"original":[114],"framework,":[116],"for":[117],"images":[118],"multi-frame":[120],"datasets.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
