{"id":"https://openalex.org/W2106033443","doi":"https://doi.org/10.1109/icip.2008.4711691","title":"HD motion estimation in a wavelet pyramid in JPEG2000 context","display_name":"HD motion estimation in a wavelet pyramid in JPEG2000 context","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2106033443","doi":"https://doi.org/10.1109/icip.2008.4711691","mag":"2106033443"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4711691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4711691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"preprint","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/A5032481391","display_name":"C. Morand","orcid":null},"institutions":[{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"C. Morand","raw_affiliation_strings":["Communaute d'Universites et Etablissements d'Aquitaine, Bordeaux, Aquitaine, FR","CNRS, Univ. of Bordeaux, Talence"],"affiliations":[{"raw_affiliation_string":"Communaute d'Universites et Etablissements d'Aquitaine, Bordeaux, Aquitaine, FR","institution_ids":[]},{"raw_affiliation_string":"CNRS, Univ. of Bordeaux, Talence","institution_ids":["https://openalex.org/I15057530","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089758511","display_name":"Jenny Benois\u2010Pineau","orcid":"https://orcid.org/0000-0003-0659-8894"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Benois-Pineau","raw_affiliation_strings":["LaBRI UMR CNRS/University of Bordeaux, Talence, France","CNRS, Univ. of Bordeaux, Talence"],"affiliations":[{"raw_affiliation_string":"LaBRI UMR CNRS/University of Bordeaux, Talence, France","institution_ids":["https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210160189","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"CNRS, Univ. of Bordeaux, Talence","institution_ids":["https://openalex.org/I15057530","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079552054","display_name":"Jean\u2010Philippe Domenger","orcid":"https://orcid.org/0000-0001-5398-9340"},"institutions":[{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J.-Ph. Domenger","raw_affiliation_strings":["LaBRI UMR CNRS/University of Bordeaux, Talence, France","CNRS, Univ. of Bordeaux, Talence"],"affiliations":[{"raw_affiliation_string":"LaBRI UMR CNRS/University of Bordeaux, Talence, France","institution_ids":["https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210160189","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"CNRS, Univ. of Bordeaux, Talence","institution_ids":["https://openalex.org/I15057530","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032481391"],"corresponding_institution_ids":["https://openalex.org/I15057530","https://openalex.org/I1294671590"],"apc_list":null,"apc_paid":null,"fwci":0.58891159,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74191402,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"16","issue":null,"first_page":"61","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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/T10688","display_name":"Image and Signal Denoising Methods","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"}}],"keywords":[{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.7500648498535156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6652332544326782},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6577979922294617},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.6500191688537598},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6404839158058167},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6196892857551575},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.5164518356323242},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4775605797767639},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.44579625129699707},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.4360119700431824},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.43359217047691345},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.4324336647987366},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4310655891895294},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3613801896572113},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.335199773311615},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.22798073291778564},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.16735973954200745},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.14171454310417175},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10840365290641785},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.07051005959510803}],"concepts":[{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.7500648498535156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6652332544326782},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6577979922294617},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.6500191688537598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6404839158058167},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6196892857551575},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.5164518356323242},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4775605797767639},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.44579625129699707},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.4360119700431824},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.43359217047691345},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.4324336647987366},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4310655891895294},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3613801896572113},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.335199773311615},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.22798073291778564},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.16735973954200745},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.14171454310417175},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10840365290641785},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.07051005959510803},{"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.2008.4711691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4711691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1987262412","https://openalex.org/W2002730573","https://openalex.org/W2019936520","https://openalex.org/W2085669808","https://openalex.org/W2096751678","https://openalex.org/W2109029335","https://openalex.org/W2166724762","https://openalex.org/W2188536910","https://openalex.org/W3145357704","https://openalex.org/W4323254117"],"related_works":["https://openalex.org/W1541334882","https://openalex.org/W2381927031","https://openalex.org/W1997997397","https://openalex.org/W1967654336","https://openalex.org/W3181871159","https://openalex.org/W2010798765","https://openalex.org/W2130187254","https://openalex.org/W2169303026","https://openalex.org/W2016848112","https://openalex.org/W2048730704"],"abstract_inverted_index":{"Global":[0],"motion":[1,26,86,92,102],"estimation":[2],"(GME)":[3],"is":[4,35],"a":[5,20,68,74,81,108],"step":[6],"of":[7,49,61,83],"primary":[8],"importance":[9],"in":[10,27],"video":[11],"analysis":[12],"and":[13],"Indexing.":[14],"In":[15],"this":[16],"paper,":[17],"we":[18],"propose":[19],"method":[21,53],"for":[22],"estimating":[23],"the":[24,36,41,46,50,57,62,84,89,95,113],"global":[25],"HD":[28],"sequences":[29],"compressed":[30,64],"with":[31,73,94,107],"JPE2000,":[32],"as":[33],"it":[34],"compression":[37],"standard":[38],"adopted":[39],"by":[40,87],"digital":[42],"cinema.":[43],"To":[44],"respect":[45],"scalability":[47],"nature":[48],"standard,":[51],"our":[52],"works":[54],"preferentially":[55],"on":[56,112],"lower":[58],"resolution":[59],"sub-bands":[60],"wavelet":[63],"frames.":[65],"We":[66],"combine":[67],"hierarchical":[69],"block":[70],"matching":[71],"(BM)":[72],"robust":[75],"GME.":[76],"This":[77],"not":[78],"only":[79],"allows":[80],"regularization":[82],"background":[85],"approximating":[88],"BM":[90],"estimated":[91,106],"vectors":[93],"model":[96],"found,":[97],"but":[98],"also":[99],"indicates":[100],"where":[101],"has":[103],"to":[104],"be":[105],"better":[109],"precision,":[110],"typically":[111],"foreground":[114],"objects.":[115]},"counts_by_year":[{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}