{"id":"https://openalex.org/W1993820669","doi":"https://doi.org/10.1109/pcs.2009.5167381","title":"Shape-adaptivewavelet encoding of depth maps","display_name":"Shape-adaptivewavelet encoding of depth maps","publication_year":2009,"publication_date":"2009-05-01","ids":{"openalex":"https://openalex.org/W1993820669","doi":"https://doi.org/10.1109/pcs.2009.5167381","mag":"1993820669"},"language":"en","primary_location":{"id":"doi:10.1109/pcs.2009.5167381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2009.5167381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Picture Coding Symposium","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/A5110223509","display_name":"Matthieu Ma\u00eetre","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthieu Maitre","raw_affiliation_strings":["Microsoft, Windows Experience Group, Redmond, USA","Windows Experience Group, Microsoft, Redmond, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft, Windows Experience Group, Redmond, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Windows Experience Group, Microsoft, Redmond, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005908865","display_name":"N. Minh","orcid":"https://orcid.org/0000-0001-5132-4986"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minh N. Do","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign, USA","Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, USA#TAB#","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":null,"first_page":"1","last_page":"4"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991000294685364,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9986000061035156,"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/codec","display_name":"Codec","score":0.676872968673706},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6652308702468872},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5785907506942749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5663092136383057},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5369218587875366},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5127609372138977},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.46550992131233215},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.4617137908935547},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4588819444179535},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45420214533805847},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.4507165849208832},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.4492529332637787},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4404958188533783},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.43860766291618347},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.4379648268222809},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.43788501620292664},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.43591558933258057},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.42829272150993347},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.35164475440979004},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.203997403383255},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17105618119239807}],"concepts":[{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.676872968673706},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6652308702468872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5785907506942749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5663092136383057},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5369218587875366},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5127609372138977},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.46550992131233215},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4617137908935547},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4588819444179535},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45420214533805847},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.4507165849208832},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.4492529332637787},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4404958188533783},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.43860766291618347},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.4379648268222809},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.43788501620292664},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.43591558933258057},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.42829272150993347},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.35164475440979004},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.203997403383255},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17105618119239807},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pcs.2009.5167381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2009.5167381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Picture Coding Symposium","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":20,"referenced_works":["https://openalex.org/W2001905250","https://openalex.org/W2020919250","https://openalex.org/W2024691997","https://openalex.org/W2024952661","https://openalex.org/W2097383592","https://openalex.org/W2104974755","https://openalex.org/W2106083184","https://openalex.org/W2106556114","https://openalex.org/W2117853853","https://openalex.org/W2118189189","https://openalex.org/W2118217749","https://openalex.org/W2127395075","https://openalex.org/W2140377889","https://openalex.org/W2145023731","https://openalex.org/W2145325002","https://openalex.org/W2150792807","https://openalex.org/W2166350707","https://openalex.org/W2170633497","https://openalex.org/W4210761736","https://openalex.org/W4237041515"],"related_works":["https://openalex.org/W2059234650","https://openalex.org/W1588899229","https://openalex.org/W2386482837","https://openalex.org/W1976022598","https://openalex.org/W2363135310","https://openalex.org/W2218546657","https://openalex.org/W2025989299","https://openalex.org/W2362207432","https://openalex.org/W2377068990","https://openalex.org/W2355889335"],"abstract_inverted_index":{"We":[0,65],"present":[1],"a":[2,15,68,88],"novel":[3,69],"depth-map":[4],"codec":[5,12],"aimed":[6],"at":[7],"free-viewpoint":[8],"3DTV.":[9],"The":[10,50],"proposed":[11,114],"relies":[13],"on":[14,104],"shape-adaptive":[16,35,56],"wavelet":[17,32,39,51],"transform":[18,36,52],"and":[19,62,99,106,122],"an":[20,94],"explicit":[21],"representation":[22],"of":[23,26,78,112,119],"the":[24,34,47,76,82,110,113,125],"locations":[25],"major":[27],"depth":[28,42],"edges.":[29,101],"Unlike":[30],"classical":[31],"transforms,":[33],"generates":[37],"small":[38],"coefficients":[40],"along":[41],"edges,":[43],"which":[44,58,74],"greatly":[45],"reduces":[46],"data":[48,108],"entropy.":[49],"is":[53],"implemented":[54],"by":[55],"lifting,":[57],"enables":[59],"fast":[60],"computations":[61],"perfect":[63],"reconstruction.":[64],"also":[66],"develop":[67],"rate-constrained":[70],"edge":[71,84],"detection":[72],"algorithm,":[73,115],"integrates":[75],"idea":[77],"significance":[79],"bitplanes":[80],"into":[81],"Canny":[83],"detector.":[85],"Along":[86],"with":[87,116],"simple":[89],"chain":[90],"code,":[91],"it":[92],"provides":[93],"efficient":[95],"way":[96],"to":[97],"extract":[98],"encode":[100],"Experimental":[102],"results":[103],"synthetic":[105],"real":[107],"confirm":[109],"effectiveness":[111],"PSNR":[117],"gains":[118],"5":[120],"dB":[121],"more":[123],"over":[124],"Middlebury":[126],"dataset.":[127]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":8}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
