{"id":"https://openalex.org/W1972344227","doi":"https://doi.org/10.1109/icassp.2014.6854871","title":"Optical flow estimation using Approximate Nearest Neighbor Field fusion","display_name":"Optical flow estimation using Approximate Nearest Neighbor Field fusion","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W1972344227","doi":"https://doi.org/10.1109/icassp.2014.6854871","mag":"1972344227"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5006773894","display_name":"O. U. Nirmal Jith","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"O. U. Nirmal Jith","raw_affiliation_strings":["Video Analytics Lab, Indian Institute of Science, Bangalore, India","Supercomput. Educ. & Res Centre, Indian Inst. of Sci., Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Video Analytics Lab, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Supercomput. Educ. & Res Centre, Indian Inst. of Sci., Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028994607","display_name":"S. Avinash Ramakanth","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Avinash Ramakanth","raw_affiliation_strings":["Video Analytics Lab, Indian Institute of Science, Bangalore, India","Supercomput. Educ. & Res Centre, Indian Inst. of Sci., Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Video Analytics Lab, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Supercomput. Educ. & Res Centre, Indian Inst. of Sci., Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113777904","display_name":"R. Venkatesh Babu","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Venkatesh Babu","raw_affiliation_strings":["Video Analytics Lab, Indian Institute of Science, Bangalore, India","Supercomput. Educ. & Res Centre, Indian Inst. of Sci., Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Video Analytics Lab, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Supercomput. Educ. & Res Centre, Indian Inst. of Sci., Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.7417,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74229173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"673","last_page":"6577"},"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":0.9994999766349792,"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":0.9990000128746033,"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/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5919287204742432},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5702831745147705},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5701859593391418},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5447129607200623},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4917605221271515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4713206887245178},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.45552098751068115},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4105381965637207},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38566339015960693},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20814543962478638},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10603049397468567}],"concepts":[{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5919287204742432},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5702831745147705},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5701859593391418},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5447129607200623},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4917605221271515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4713206887245178},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.45552098751068115},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4105381965637207},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38566339015960693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20814543962478638},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10603049397468567},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6854871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":25,"referenced_works":["https://openalex.org/W1578285471","https://openalex.org/W1993120651","https://openalex.org/W2001119108","https://openalex.org/W2009874829","https://openalex.org/W2015896365","https://openalex.org/W2033959528","https://openalex.org/W2057538902","https://openalex.org/W2062426340","https://openalex.org/W2069799465","https://openalex.org/W2090950495","https://openalex.org/W2100315781","https://openalex.org/W2111533989","https://openalex.org/W2113221323","https://openalex.org/W2118877769","https://openalex.org/W2129139050","https://openalex.org/W2145940484","https://openalex.org/W2147253850","https://openalex.org/W2154504070","https://openalex.org/W2155302366","https://openalex.org/W2157259804","https://openalex.org/W2163384417","https://openalex.org/W2171857946","https://openalex.org/W2751023760","https://openalex.org/W4249022109","https://openalex.org/W6677548441"],"related_works":["https://openalex.org/W2023355163","https://openalex.org/W4386083130","https://openalex.org/W2069571255","https://openalex.org/W3111737715","https://openalex.org/W2117442182","https://openalex.org/W2081707527","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"optical":[4,19,75,117],"flow":[5,20,60,76,118],"algorithm":[6],"by":[7,45],"adapting":[8],"Approximate":[9],"Nearest":[10],"Neighbor":[11],"Fields":[12],"(ANNF)":[13],"to":[14,30,80,113],"obtain":[15],"a":[16,55,81],"pixel":[17,58,73],"level":[18,59,74],"between":[21,39,50,63],"image":[22],"sequence.":[23],"Patch":[24],"similarity":[25],"based":[26],"coherency":[27],"is":[28,61,77,87,97],"performed":[29],"refine":[31],"the":[32,40,64,72,90,94,100,103,107],"ANNF":[33,48],"maps.":[34],"Further":[35],"improvement":[36],"in":[37],"mapping":[38],"two":[41],"images":[42],"are":[43],"obtained":[44,62,96],"fusing":[46],"bidirectional":[47],"maps":[49],"pair":[51,65],"of":[52,66,102],"images.":[53,67],"Thus":[54],"highly":[56],"accurate":[57],"Using":[68],"pyramidal":[69],"cost":[70],"optimization,":[71],"further":[78],"optimized":[79],"sub-pixel":[82],"level.":[83],"The":[84],"proposed":[85,108],"approach":[86,109],"evaluated":[88,120],"on":[89],"mid-dlebury":[91],"dataset":[92],"and":[93],"performance":[95],"comparable":[98],"with":[99],"state":[101],"art":[104],"approaches.":[105],"Furthermore,":[106],"can":[110],"be":[111],"used":[112],"compute":[114],"large":[115],"displacement":[116],"as":[119],"using":[121],"MPI":[122],"Sintel":[123],"dataset.":[124]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}