{"id":"https://openalex.org/W1525566138","doi":"https://doi.org/10.1109/icip.2003.1246792","title":"A new video coder based on second generation wavelets","display_name":"A new video coder based on second generation wavelets","publication_year":2004,"publication_date":"2004-06-03","ids":{"openalex":"https://openalex.org/W1525566138","doi":"https://doi.org/10.1109/icip.2003.1246792","mag":"1525566138"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2003.1246792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1246792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","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/A5065409187","display_name":"S\u00e9bastien Brangoulo","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S. Brangoulo","raw_affiliation_strings":["France Telecom R&D Beijing, France","France Telecom R&D, Cesson-S\u00e9vign\u00e9, Cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"France Telecom R&D Beijing, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"France Telecom R&D, Cesson-S\u00e9vign\u00e9, Cedex, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036178398","display_name":"Patrick Gioia","orcid":"https://orcid.org/0000-0001-5963-6706"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"P. Gioia","raw_affiliation_strings":["France Telecom R&D Beijing, France","France Telecom R&D, Cesson-S\u00e9vign\u00e9, Cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"France Telecom R&D Beijing, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"France Telecom R&D, Cesson-S\u00e9vign\u00e9, Cedex, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090470944","display_name":"Nathalie Laurent","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"N. Laurent","raw_affiliation_strings":["France Telecom R&D Beijing, France","France Telecom R&D, Cesson-S\u00e9vign\u00e9, Cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"France Telecom R&D Beijing, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"France Telecom R&D, Cesson-S\u00e9vign\u00e9, Cedex, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064815241","display_name":"J\u00e9r\u00f4me Fournier","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Fournier","raw_affiliation_strings":["France Telecom R&D, Cesson-S\u00e9vign\u00e9, Cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"France Telecom R&D, Cesson-S\u00e9vign\u00e9, Cedex, France","institution_ids":["https://openalex.org/I19370010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05941005,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"II","last_page":"763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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/T10901","display_name":"Advanced Data Compression Techniques","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":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.7110023498535156},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.6956640481948853},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6256661415100098},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.60211181640625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5835208892822266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5165668725967407},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.49443840980529785},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4940341114997864},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.4594178795814514},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.42128533124923706},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.4062773287296295},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.32196736335754395},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.320867657661438},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19537270069122314}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7110023498535156},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.6956640481948853},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6256661415100098},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.60211181640625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5835208892822266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5165668725967407},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.49443840980529785},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4940341114997864},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.4594178795814514},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.42128533124923706},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.4062773287296295},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.32196736335754395},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.320867657661438},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19537270069122314},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2003.1246792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1246792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1995615452","https://openalex.org/W2012164750","https://openalex.org/W2020919250","https://openalex.org/W2062024414","https://openalex.org/W2142276208","https://openalex.org/W2155520375","https://openalex.org/W2163324644","https://openalex.org/W4255272544","https://openalex.org/W6655794732"],"related_works":["https://openalex.org/W2148922502","https://openalex.org/W2032827369","https://openalex.org/W1574724839","https://openalex.org/W2187171999","https://openalex.org/W2081651480","https://openalex.org/W2096476311","https://openalex.org/W3009101410","https://openalex.org/W2899854151","https://openalex.org/W1889918572","https://openalex.org/W2406608628"],"abstract_inverted_index":{"We":[0],"consider":[1],"a":[2,19,78],"new":[3,120],"way":[4],"to":[5,50,59,62,96],"encode":[6,63],"video":[7,29,54,136,141],"sequences.":[8],"The":[9,86],"proposed":[10],"method":[11],"is":[12,31,89],"based":[13],"on":[14,99,125,142],"second":[15],"generation":[16],"wavelets":[17,92],"(SOW),":[18],"novel":[20],"mathematic":[21],"transform,":[22],"successfully":[23],"applied":[24,124],"in":[25],"3D":[26],"coding.":[27],"This":[28,72,119],"coder":[30,121],"created":[32],"by":[33],"combining":[34],"the":[35,44,53,56,64,68],"wavelet":[36],"theory":[37,76],"and":[38,43,61,103,110,140],"mesh":[39],"geometry.":[40],"With":[41],"this":[42],"SOW,":[45],"we":[46,106],"will":[47],"be":[48,94,123],"able":[49],"apply":[51],"onto":[52],"image,":[55],"mathematical":[57],"transform":[58],"locate":[60],"error,":[65],"results":[66],"of":[67,83],"motion":[69],"compensation":[70],"process.":[71],"powerful":[73],"signal":[74],"processing":[75],"allows":[77],"very":[79,131],"well":[80],"adapted":[81],"coding":[82,113],"high":[84],"frequencies.":[85],"main":[87],"advantage":[88],"that":[90],"these":[91],"can":[93,107,122],"designed":[95],"fit":[97],"exactly":[98],"singularities,":[100],"shapes,":[101],"textures,":[102],"edges.":[104],"Hence,":[105],"reduce":[108],"redundancy":[109],"improve":[111],"considerably":[112],"efficiency":[114],"over":[115],"those":[116],"peculiar":[117],"settings.":[118],"all":[126],"classical":[127],"applications,":[128],"such":[129],"as":[130],"low":[132],"bit":[133],"rate":[134],"transmissions,":[135],"streaming,":[137],"vision":[138],"conference":[139],"demand.":[143]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}