{"id":"https://openalex.org/W2094743657","doi":"https://doi.org/10.1109/mwscas.2012.6292188","title":"Fast motion estimation algorithm combining search point sampling technique with adaptive search range algorithm","display_name":"Fast motion estimation algorithm combining search point sampling technique with adaptive search range algorithm","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2094743657","doi":"https://doi.org/10.1109/mwscas.2012.6292188","mag":"2094743657"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas.2012.6292188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2012.6292188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5004115171","display_name":"Yun-Ho Ko","orcid":"https://orcid.org/0000-0001-9700-0629"},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yun-Ho Ko","raw_affiliation_strings":["Depart. of Mechatronics Engineering, Chungnam National University, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Depart. of Mechatronics Engineering, Chungnam National University, Daejeon, South Korea","institution_ids":["https://openalex.org/I196345858"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018214137","display_name":"Hyun\u2010Soo Kang","orcid":"https://orcid.org/0000-0002-4333-2852"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun-Soo Kang","raw_affiliation_strings":["College of Elec. & Computer Engineering, Chungbuk National University, Cheongju, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Elec. & Computer Engineering, Chungbuk National University, Cheongju, South Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047150584","display_name":"Jae\u2010Won Suh","orcid":null},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Won Suh","raw_affiliation_strings":["College of Elec. & Computer Engineering, Chungbuk National University, Cheongju, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Elec. & Computer Engineering, Chungbuk National University, Cheongju, South Korea","institution_ids":["https://openalex.org/I163753206"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.2077657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"988","last_page":"991"},"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":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976000189781189,"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/beam-stack-search","display_name":"Beam stack search","score":0.7064098119735718},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7023335099220276},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.6518110036849976},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.62446129322052},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5525988936424255},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5512524247169495},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.44258710741996765},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.44235795736312866},{"id":"https://openalex.org/keywords/beam-search","display_name":"Beam search","score":0.4316260814666748},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.41863077878952026},{"id":"https://openalex.org/keywords/incremental-heuristic-search","display_name":"Incremental heuristic search","score":0.36377182602882385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28406795859336853},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1330525279045105},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07081770896911621}],"concepts":[{"id":"https://openalex.org/C194036150","wikidata":"https://www.wikidata.org/wiki/Q4876196","display_name":"Beam stack search","level":5,"score":0.7064098119735718},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7023335099220276},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.6518110036849976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62446129322052},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5525988936424255},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5512524247169495},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.44258710741996765},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44235795736312866},{"id":"https://openalex.org/C19889080","wikidata":"https://www.wikidata.org/wiki/Q2835852","display_name":"Beam search","level":3,"score":0.4316260814666748},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.41863077878952026},{"id":"https://openalex.org/C139979381","wikidata":"https://www.wikidata.org/wiki/Q17056021","display_name":"Incremental heuristic search","level":4,"score":0.36377182602882385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28406795859336853},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1330525279045105},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07081770896911621},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mwscas.2012.6292188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2012.6292188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS)","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":13,"referenced_works":["https://openalex.org/W1994685695","https://openalex.org/W2039181402","https://openalex.org/W2054484909","https://openalex.org/W2099124466","https://openalex.org/W2101482045","https://openalex.org/W2110754846","https://openalex.org/W2112432559","https://openalex.org/W2116449393","https://openalex.org/W2120123019","https://openalex.org/W2128762524","https://openalex.org/W2144602024","https://openalex.org/W2145251738","https://openalex.org/W3013837279"],"related_works":["https://openalex.org/W58921990","https://openalex.org/W4200104947","https://openalex.org/W4386269615","https://openalex.org/W2064794194","https://openalex.org/W2081821176","https://openalex.org/W2397806795","https://openalex.org/W2368028352","https://openalex.org/W3106196307","https://openalex.org/W2808808802","https://openalex.org/W4214503203"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,108],"enhanced":[4],"fast":[5,64,83],"motion":[6,29],"estimation":[7],"method":[8,136],"where":[9,72,110],"a":[10,104,111],"search":[11,20,45,55,70,78,87,94,118,128],"point":[12,88],"sampling":[13,89],"technique":[14],"is":[15,33,40,58],"combined":[16],"with":[17],"the":[18,26,38,63,81,101,114,117,122,127,134],"adaptive":[19],"range":[21],"algorithm":[22,95,109],"(ASRA)":[23],"based":[24,41,85],"on":[25,42,86],"distribution":[27],"of":[28,44,54,62,113,139],"vector":[30],"differences,":[31],"which":[32],"our":[34,140],"previous":[35],"work.":[36],"Since":[37],"ASRA":[39,123,141],"downsizing":[43],"ranges":[46],"for":[47],"less":[48],"computational":[49],"complexity":[50,138],"rather":[51],"than":[52],"sub-sampling":[53],"points":[56,74,115],"that":[57,133],"adopted":[59],"by":[60,121,142],"most":[61],"algorithms,":[65],"it":[66],"results":[67,131],"in":[68],"smaller":[69],"areas":[71,119],"all":[73],"are":[75,124],"considered":[76],"as":[77,92,126],"points.":[79,129],"Therefore,":[80],"conventional":[82],"algorithms":[84],"techniques":[90],"such":[91],"three-step":[93],"can":[96],"be":[97],"easily":[98],"employed":[99],"to":[100],"ASRA.":[102],"As":[103],"result,":[105],"we":[106],"propose":[107],"part":[112],"within":[116],"determined":[120],"sampled":[125],"Experimental":[130],"show":[132],"proposed":[135],"reduces":[137],"about":[143],"60%":[144],"without":[145],"quality":[146],"degradation.":[147]},"counts_by_year":[{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}