{"id":"https://openalex.org/W2912135900","doi":"https://doi.org/10.1109/bigdata.2018.8622420","title":"Improving the Optical Flow Accuracy Based on the Total Variation of Local-Global method","display_name":"Improving the Optical Flow Accuracy Based on the Total Variation of Local-Global method","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2912135900","doi":"https://doi.org/10.1109/bigdata.2018.8622420","mag":"2912135900"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8622420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","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/A5070160456","display_name":"Yugui Zhang","orcid":"https://orcid.org/0009-0002-5685-2408"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yugui Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078264223","display_name":"Haonan Fan","orcid":"https://orcid.org/0000-0002-8657-0199"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haonan Fan","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680278","display_name":"Jin Zheng","orcid":"https://orcid.org/0000-0002-1325-4312"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Zheng","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101977412","display_name":"Chi Zhang","orcid":"https://orcid.org/0000-0002-6300-4602"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070160456"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.2127,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58624147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"4658","last_page":"4664"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9950000047683716,"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":0.9914000034332275,"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":0.7322329878807068},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6798511743545532},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.6589858531951904},{"id":"https://openalex.org/keywords/classification-of-discontinuities","display_name":"Classification of discontinuities","score":0.6156647801399231},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6065020561218262},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.5766395330429077},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5606076717376709},{"id":"https://openalex.org/keywords/exponential-smoothing","display_name":"Exponential smoothing","score":0.5286229848861694},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5155699253082275},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4020896553993225},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3293626606464386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2753414511680603},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.14990773797035217},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14258772134780884},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11079150438308716},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07337081432342529}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.7322329878807068},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6798511743545532},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.6589858531951904},{"id":"https://openalex.org/C15627037","wikidata":"https://www.wikidata.org/wiki/Q541961","display_name":"Classification of discontinuities","level":2,"score":0.6156647801399231},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6065020561218262},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.5766395330429077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5606076717376709},{"id":"https://openalex.org/C133710760","wikidata":"https://www.wikidata.org/wiki/Q775837","display_name":"Exponential smoothing","level":2,"score":0.5286229848861694},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5155699253082275},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4020896553993225},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3293626606464386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2753414511680603},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.14990773797035217},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14258772134780884},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11079150438308716},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07337081432342529},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2018.8622420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W178406657","https://openalex.org/W303181297","https://openalex.org/W1504694699","https://openalex.org/W1538585633","https://openalex.org/W1578285471","https://openalex.org/W1578985305","https://openalex.org/W1867429401","https://openalex.org/W1973536668","https://openalex.org/W1977194745","https://openalex.org/W1999305212","https://openalex.org/W2015896365","https://openalex.org/W2031555400","https://openalex.org/W2099244020","https://openalex.org/W2100315781","https://openalex.org/W2103559027","https://openalex.org/W2108565035","https://openalex.org/W2123782500","https://openalex.org/W2124871973","https://openalex.org/W2127192221","https://openalex.org/W2143485281","https://openalex.org/W2155302366","https://openalex.org/W2156177012","https://openalex.org/W2156956645","https://openalex.org/W2158919891","https://openalex.org/W2278648135","https://openalex.org/W2291189034","https://openalex.org/W2548527721","https://openalex.org/W2560474170","https://openalex.org/W2623012233","https://openalex.org/W2751023760","https://openalex.org/W2800114522","https://openalex.org/W2807017136","https://openalex.org/W2964156315","https://openalex.org/W4242007601","https://openalex.org/W6607236572","https://openalex.org/W6610827324","https://openalex.org/W6630136815","https://openalex.org/W6634902294","https://openalex.org/W6650328104","https://openalex.org/W6679592025"],"related_works":["https://openalex.org/W2068015237","https://openalex.org/W4382138423","https://openalex.org/W3110660585","https://openalex.org/W4285210468","https://openalex.org/W1972096828","https://openalex.org/W2529137940","https://openalex.org/W4237074253","https://openalex.org/W2076355464","https://openalex.org/W2093101924","https://openalex.org/W2322442038"],"abstract_inverted_index":{"The":[0,22,105],"aim":[1],"of":[2,15,31,119],"this":[3],"paper":[4],"is":[5,25,44],"to":[6],"improve":[7],"the":[8,13,28,32,36,40,47,51,55,67,71,75,79,83,91,96,115,120,124,128],"optical":[9,42,63,92,121],"flow":[10,16,43,64,93,122],"accuracy":[11,116],"for":[12],"preservation":[14],"discontinuities":[17],"in":[18],"total":[19,29,68],"variation":[20,30],"method.":[21],"proposed":[23,111],"method":[24,112],"based":[26,60],"on":[27,61,123],"local-global":[33,48],"method,":[34],"including":[35],"following":[37],"steps:":[38],"firstly,":[39],"initial":[41,62],"obtained":[45],"from":[46,95],"method;":[49],"secondly,":[50],"data":[52,72],"item":[53,57,73,85],"and":[54,78,82,89,117,127],"smoothing":[56,84],"are":[58,99],"designed":[59],"by":[65,101],"using":[66,102],"variation,":[69],"with":[70],"involving":[74,86],"brightness":[76],"constancy":[77],"gradient":[80],"constancy,":[81],"exponential":[87],"function;":[88],"finally,":[90],"results":[94,107],"second":[97],"step":[98],"optimized":[100],"median":[103],"filtering.":[104],"experimental":[106],"show":[108],"that":[109],"our":[110],"could":[113],"enhance":[114],"robustness":[118],"Middlebury":[125],"Dataset":[126],"MPI":[129],"Sintel":[130],"Dataset.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
