{"id":"https://openalex.org/W1520862171","doi":"https://doi.org/10.1109/icip.2004.1419744","title":"An efficient content-adaptive MC 3D-DWT with enhanced spatial and temporal scalability","display_name":"An efficient content-adaptive MC 3D-DWT with enhanced spatial and temporal scalability","publication_year":2005,"publication_date":"2005-04-19","ids":{"openalex":"https://openalex.org/W1520862171","doi":"https://doi.org/10.1109/icip.2004.1419744","mag":"1520862171"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2004.1419744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2004.1419744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 International Conference on Image Processing, 2004. ICIP '04.","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/A5057617941","display_name":"Nagita Mehrseresht","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"N. Mehrseresht","raw_affiliation_strings":["University of New South Wales, Sydney, Australia","New South Wales Univ., Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"New South Wales Univ., Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056716947","display_name":"David Taubman","orcid":"https://orcid.org/0000-0002-8458-6402"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"D. Taubman","raw_affiliation_strings":["University of New South Wales, Sydney, Australia","New South Wales Univ., Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"New South Wales Univ., Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1329","last_page":"1332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10688","display_name":"Image and Signal Denoising Methods","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9970999956130981,"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/ghosting","display_name":"Ghosting","score":0.8018389940261841},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7583252191543579},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.6535226106643677},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.6370146870613098},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5270638465881348},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.52072674036026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5098952054977417},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4990408420562744},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4959283769130707},{"id":"https://openalex.org/keywords/anti-aliasing","display_name":"Anti-aliasing","score":0.4323924779891968},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.32353854179382324},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.1488947868347168},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.07644322514533997}],"concepts":[{"id":"https://openalex.org/C2780531524","wikidata":"https://www.wikidata.org/wiki/Q551540","display_name":"Ghosting","level":2,"score":0.8018389940261841},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7583252191543579},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.6535226106643677},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.6370146870613098},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5270638465881348},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.52072674036026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5098952054977417},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4990408420562744},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4959283769130707},{"id":"https://openalex.org/C534633266","wikidata":"https://www.wikidata.org/wiki/Q4774317","display_name":"Anti-aliasing","level":5,"score":0.4323924779891968},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.32353854179382324},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.1488947868347168},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.07644322514533997},{"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/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.0},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2004.1419744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2004.1419744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 International Conference on Image Processing, 2004. ICIP '04.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.519.7768","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.519.7768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://maestro.ee.unsw.edu.au/~taubman/publications_files/scalable-fully-adaptive-icip04.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1576046429","https://openalex.org/W2101907787","https://openalex.org/W2128883439","https://openalex.org/W2132573196","https://openalex.org/W2157835119","https://openalex.org/W4235971208"],"related_works":["https://openalex.org/W2379888591","https://openalex.org/W2391609463","https://openalex.org/W2387218911","https://openalex.org/W2013059460","https://openalex.org/W2389475303","https://openalex.org/W2016506074","https://openalex.org/W296586643","https://openalex.org/W1965744692","https://openalex.org/W2137451566","https://openalex.org/W3169115085"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,59,65],"novel,":[6],"adaptive":[7,119],"method":[8,21],"for":[9],"motion":[10,36],"compensated":[11,83],"3D":[12],"wavelet":[13],"transformation":[14],"(MC":[15],"3D-DWT)":[16],"of":[17,24,35,58],"video.":[18],"The":[19],"proposed":[20,96,118],"overcomes":[22],"problems":[23],"ghosting":[25],"and":[26,88,134],"nonaligned":[27],"aliasing":[28],"artifacts":[29],"which":[30,79],"can":[31,80],"arise":[32],"in":[33,84,125],"regions":[34],"model":[37],"failure,":[38],"when":[39],"the":[40,56,71,76,85,91,95,110,117,123],"video":[41],"is":[42],"reconstructed":[43],"at":[44],"reduced":[45],"temporal":[46,61,86,135],"or":[47,69],"spatial":[48,66,72,77,133],"resolutions.":[49],"Previous":[50],"MC":[51,60],"3D-DWT":[52],"structures":[53],"either":[54],"take":[55],"form":[57],"DWT":[62],"followed":[63],"by":[64],"transform":[67,73,87,97,120],"(\"t+2D\"),":[68],"perform":[70],"first,":[74],"limiting":[75,90],"frequencies":[78],"be":[81],"jointly":[82],"hence":[89],"compression":[92,126],"efficiency.":[93],"Essentially,":[94],"continuously":[98],"adapts":[99],"itself":[100],"between":[101],"these":[102],"two":[103],"extremes,":[104],"based":[105],"on":[106],"information":[107],"available":[108],"within":[109],"compressed":[111],"bit-stream.":[112],"Experimental":[113],"results":[114],"indicate":[115],"that":[116],"significantly":[121],"reduces":[122],"cost":[124],"efficiency":[127],"required":[128],"to":[129],"achieve":[130],"high":[131],"quality":[132],"scalability.":[136]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
