{"id":"https://openalex.org/W3007097210","doi":"https://doi.org/10.1109/tcsvt.2020.2974490","title":"Optical Flow Estimation Based on the Frequency-Domain Regularization","display_name":"Optical Flow Estimation Based on the Frequency-Domain Regularization","publication_year":2020,"publication_date":"2020-02-17","ids":{"openalex":"https://openalex.org/W3007097210","doi":"https://doi.org/10.1109/tcsvt.2020.2974490","mag":"3007097210"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2020.2974490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.2974490","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5033578515","display_name":"Jun Chen","orcid":"https://orcid.org/0000-0001-9693-6628"},"institutions":[{"id":"https://openalex.org/I14894300","display_name":"Foshan University","ror":"https://ror.org/02xvvvp28","country_code":"CN","type":"education","lineage":["https://openalex.org/I14894300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Chen","raw_affiliation_strings":["School of Industrial Design and Ceramic Art, Foshan University, Foshan, China"],"raw_orcid":"https://orcid.org/0000-0001-9693-6628","affiliations":[{"raw_affiliation_string":"School of Industrial Design and Ceramic Art, Foshan University, Foshan, China","institution_ids":["https://openalex.org/I14894300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034685928","display_name":"Jianhuang Lai","orcid":"https://orcid.org/0000-0003-3883-2024"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhuang Lai","raw_affiliation_strings":["Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Sun Yat-sen University, Guangzhou, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3883-2024","affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069056428","display_name":"Zemin Cai","orcid":"https://orcid.org/0000-0002-7557-9526"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zemin Cai","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Digital Signal and Image Processing Techniques, Shantou, China","School of Engineering, Shantou University, Shantou, China"],"raw_orcid":"https://orcid.org/0000-0002-7557-9526","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Digital Signal and Image Processing Techniques, Shantou, China","institution_ids":[]},{"raw_affiliation_string":"School of Engineering, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018298892","display_name":"Xiaohua Xie","orcid":"https://orcid.org/0000-0002-0310-4679"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Xie","raw_affiliation_strings":["Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Sun Yat-sen University, Guangzhou, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0310-4679","affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044327434","display_name":"Zhigeng Pan","orcid":"https://orcid.org/0000-0003-0717-5850"},"institutions":[{"id":"https://openalex.org/I14894300","display_name":"Foshan University","ror":"https://ror.org/02xvvvp28","country_code":"CN","type":"education","lineage":["https://openalex.org/I14894300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigeng Pan","raw_affiliation_strings":["Guangdong Academy of Research on VR Industry, Foshan University, Foshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Academy of Research on VR Industry, Foshan University, Foshan, China","institution_ids":["https://openalex.org/I14894300"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.15,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.80324204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"31","issue":"1","first_page":"217","last_page":"230"},"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":0.9987999796867371,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.786871612071991},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.7654913067817688},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6556915640830994},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6367372274398804},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6104509830474854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.552872359752655},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5280100703239441},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5249576568603516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5088882446289062},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4468916356563568},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4430367350578308},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.41957202553749084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3901880979537964},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3449990451335907},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.3224255442619324},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16555950045585632}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.786871612071991},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7654913067817688},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6556915640830994},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6367372274398804},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6104509830474854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.552872359752655},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5280100703239441},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5249576568603516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5088882446289062},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4468916356563568},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4430367350578308},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.41957202553749084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3901880979537964},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3449990451335907},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.3224255442619324},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16555950045585632}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2020.2974490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.2974490","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7165179767","display_name":null,"funder_award_id":"61876104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W303181297","https://openalex.org/W764651262","https://openalex.org/W1494164990","https://openalex.org/W1505880730","https://openalex.org/W1513100184","https://openalex.org/W1578285471","https://openalex.org/W1578985305","https://openalex.org/W1867429401","https://openalex.org/W1921093919","https://openalex.org/W1951289974","https://openalex.org/W1973468478","https://openalex.org/W2016999436","https://openalex.org/W2031555400","https://openalex.org/W2031912957","https://openalex.org/W2033959528","https://openalex.org/W2092472793","https://openalex.org/W2102510314","https://openalex.org/W2104407509","https://openalex.org/W2108565035","https://openalex.org/W2113221323","https://openalex.org/W2115579991","https://openalex.org/W2123436733","https://openalex.org/W2132529238","https://openalex.org/W2137563377","https://openalex.org/W2147253850","https://openalex.org/W2156956645","https://openalex.org/W2158919891","https://openalex.org/W2165406874","https://openalex.org/W2527824482","https://openalex.org/W2548527721","https://openalex.org/W2560474170","https://openalex.org/W2727459456","https://openalex.org/W2751023760","https://openalex.org/W2790999834","https://openalex.org/W2793114969","https://openalex.org/W2894983388","https://openalex.org/W2904071629","https://openalex.org/W2904340070","https://openalex.org/W2953504521","https://openalex.org/W2963172626","https://openalex.org/W2963210183","https://openalex.org/W2963305757","https://openalex.org/W2963589407","https://openalex.org/W2963782415","https://openalex.org/W2963891416","https://openalex.org/W2964140947","https://openalex.org/W2964156315","https://openalex.org/W2967043539","https://openalex.org/W2977036535","https://openalex.org/W4295158995","https://openalex.org/W6634902294","https://openalex.org/W6675577372","https://openalex.org/W6752091691"],"related_works":["https://openalex.org/W1588899229","https://openalex.org/W2085792030","https://openalex.org/W4321517526","https://openalex.org/W2001281573","https://openalex.org/W2156522110","https://openalex.org/W2059234650","https://openalex.org/W1577789985","https://openalex.org/W2390482320","https://openalex.org/W2373883654","https://openalex.org/W57803080"],"abstract_inverted_index":{"Accurate":[0],"optical":[1,26,51,138,157],"flow":[2,27,52,73,100,139,146,158],"estimation":[3],"with":[4,121],"the":[5,31,98,107,112,122,130,135,162],"frequency-domain":[6,137],"regularization":[7,42],"is":[8],"a":[9,24,44,60],"challenging":[10,163],"problem":[11],"in":[12,141],"computer":[13],"vision.":[14],"In":[15],"this":[16,20],"paper,":[17],"we":[18,39,54,64],"solve":[19],"issue":[21],"by":[22,58,80,87,106],"introducing":[23],"novel":[25],"method":[28,132],"related":[29],"to":[30,117,127],"frequency":[32],"domain":[33],"that":[34,91],"uses":[35],"TV-wavelet":[36,41,89],"regularization.":[37],"Specifically,":[38],"regard":[40],"as":[43,72],"filtering":[45],"process.":[46],"After":[47],"wavelet":[48,85,125],"transform":[49,95],"for":[50,67],"field,":[53],"firstly":[55],"remove":[56,128],"outliers":[57],"performing":[59],"threshold":[61],"operation.":[62],"Then,":[63],"make":[65],"up":[66],"lost":[68],"motion":[69,77,151],"information":[70],"(such":[71],"edges":[74],"and":[75,148,166],"important":[76,150],"details)":[78],"determined":[79],"these":[81],"missing":[82],"or":[83],"damaged":[84],"coefficients":[86,90],"adding":[88],"are":[92,104],"obtained":[93],"from":[94],"spectrum":[96],"of":[97,114,124],"prior":[99],"geometrical":[101],"features,":[102],"which":[103],"controlled":[105],"image":[108],"structures.":[109],"By":[110],"combining":[111],"advantages":[113],"total":[115],"variation":[116],"recover":[118],"geometric":[119],"structures":[120],"strengths":[123],"representation":[126],"outliers,":[129,143],"proposed":[131],"significantly":[133],"outperforms":[134],"current":[136],"methods":[140],"removing":[142],"preserving":[144],"sharp":[145],"edges,":[147],"restoring":[149],"details.":[152],"It":[153],"also":[154],"shows":[155],"competitive":[156],"evaluation":[159],"results":[160],"on":[161],"MPI-Sintel,":[164],"Kitti,":[165],"Middlebury":[167],"datasets.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
