{"id":"https://openalex.org/W2156601625","doi":"https://doi.org/10.1109/icip.1994.413408","title":"Adaptive motion estimation in video coding with a stochastic model","display_name":"Adaptive motion estimation in video coding with a stochastic model","publication_year":2002,"publication_date":"2002-12-17","ids":{"openalex":"https://openalex.org/W2156601625","doi":"https://doi.org/10.1109/icip.1994.413408","mag":"2156601625"},"language":"en","primary_location":{"id":"doi:10.1109/icip.1994.413408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.1994.413408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 1st International Conference on Image Processing","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/A5005633293","display_name":"Sungook Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I4210116219","display_name":"Engineering Systems (United States)","ror":"https://ror.org/02qg60849","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sungook Kim","raw_affiliation_strings":["Department of Electrical Engineering-Systems, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering-Systems, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212","https://openalex.org/I4210116219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001082656","display_name":"C.\u2010C. Jay Kuo","orcid":"https://orcid.org/0000-0001-9474-5035"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I4210116219","display_name":"Engineering Systems (United States)","ror":"https://ror.org/02qg60849","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C.-C.J. Kuo","raw_affiliation_strings":["Department of Electrical Engineering Systems, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering Systems, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212","https://openalex.org/I4210116219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2038,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4731441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"715","last_page":"719"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","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/T10901","display_name":"Advanced Data Compression Techniques","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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9994999766349792,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9965000152587891,"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/motion-estimation","display_name":"Motion estimation","score":0.7264140248298645},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.6908905506134033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6734058260917664},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5469761490821838},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.5252611041069031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5060333609580994},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5049996972084045},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4922110140323639},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.47851669788360596},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4505152106285095},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4320816397666931},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4149106740951538},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41218191385269165},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3630479574203491},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26382625102996826},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.1985798478126526},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11832952499389648},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.11573106050491333}],"concepts":[{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.7264140248298645},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.6908905506134033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6734058260917664},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5469761490821838},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.5252611041069031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5060333609580994},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5049996972084045},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4922110140323639},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.47851669788360596},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4505152106285095},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4320816397666931},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4149106740951538},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41218191385269165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3630479574203491},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26382625102996826},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.1985798478126526},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11832952499389648},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.11573106050491333},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.1994.413408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.1994.413408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 1st International Conference on Image Processing","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":3,"referenced_works":["https://openalex.org/W1581285860","https://openalex.org/W2077922410","https://openalex.org/W2115907784"],"related_works":["https://openalex.org/W1969136679","https://openalex.org/W4250500397","https://openalex.org/W2049273678","https://openalex.org/W839483973","https://openalex.org/W2143589929","https://openalex.org/W2380461545","https://openalex.org/W1579940903","https://openalex.org/W2027441273","https://openalex.org/W2133099404","https://openalex.org/W2009351028"],"abstract_inverted_index":{"A":[0],"new":[1],"motion":[2],"vector":[3],"(MV)":[4],"estimation":[5],"method":[6,118],"for":[7],"video":[8,99],"image":[9,100],"compression":[10],"based":[11],"on":[12],"a":[13,94],"stochastic":[14],"model":[15],"is":[16,22,51,119],"presented":[17],"in":[18,93],"this":[19],"work.":[20],"It":[21],"well":[23],"known":[24],"that":[25],"the":[26,29,40,44,90,98,107,116],"location":[27],"of":[28,32,59,97,115],"smallest":[30],"sum":[31],"absolute":[33],"difference":[34],"(SAD)":[35],"does":[36],"not":[37],"always":[38],"give":[39],"true":[41],"MV":[42,45,77],"since":[43,86],"obtained":[46],"via":[47],"full":[48],"block":[49],"search":[50,68,108],"often":[52],"corrupted":[53],"by":[54,70,81,121],"noise.":[55],"Thus,":[56],"multiple":[57],"locations":[58],"relatively":[60],"small":[61],"SAD":[62],"are":[63,103],"searched":[64],"with":[65],"an":[66,76],"adaptive":[67],"window":[69],"using":[71,82],"our":[72],"method.":[73],"We":[74],"pick":[75],"among":[78],"those":[79],"candidates":[80],"temporal":[83,87],"correlation.":[84],"Furthermore,":[85],"correlation":[88],"reveals":[89],"noise":[91],"level":[92],"particular":[95],"region":[96],"sequence,":[101],"we":[102],"able":[104],"to":[105],"reduce":[106],"area":[109],"very":[110],"effectively.":[111],"The":[112],"excellent":[113],"performance":[114],"proposed":[117],"demonstrated":[120],"numerical":[122],"experiments.>":[123]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
