{"id":"https://openalex.org/W1506609995","doi":"https://doi.org/10.1109/isscs.2015.7203966","title":"Lossy-to-lossless progressive coding of depth-maps","display_name":"Lossy-to-lossless progressive coding of depth-maps","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1506609995","doi":"https://doi.org/10.1109/isscs.2015.7203966","mag":"1506609995"},"language":"en","primary_location":{"id":"doi:10.1109/isscs.2015.7203966","doi":"https://doi.org/10.1109/isscs.2015.7203966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscs.2015.7203966","pdf_url":null,"source":{"id":"https://openalex.org/S4306420212","display_name":"International Symposium on Signals, Circuits and Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Symposium on Signals, Circuits and Systems (ISSCS)","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W1506609995"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"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/A5060196436","display_name":"Ionut Schiopu","orcid":"https://orcid.org/0000-0003-2202-1163","observed_orcids":["https://orcid.org/0000-0003-2202-1163"]},"institutions":[{"id":"https://openalex.org/I4387152565","display_name":"Tampere University of Technology","ror":"https://ror.org/02ba3pt07","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849","https://openalex.org/I4387152565"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Ionut Schiopu","raw_affiliation_strings":["Department of Signal Processing, Tampere University of Technology, Tampere, Finland","Tampere University of Technology, Department of Signal Processing, P.O. Box 553, FIN-33101, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4387152565"]},{"raw_affiliation_string":"Tampere University of Technology, Department of Signal Processing, P.O. Box 553, FIN-33101, Finland","institution_ids":["https://openalex.org/I4387152565"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008130391","display_name":"Ioan T\u0103bu\u015f","orcid":"https://orcid.org/0000-0003-3131-9551","observed_orcids":["https://orcid.org/0000-0003-3131-9551"]},"institutions":[{"id":"https://openalex.org/I4387152565","display_name":"Tampere University of Technology","ror":"https://ror.org/02ba3pt07","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849","https://openalex.org/I4387152565"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Ioan Tabus","raw_affiliation_strings":["Department of Signal Processing, Tampere University of Technology, Tampere, Finland","Tampere University of Technology, Department of Signal Processing, P.O. Box 553, FIN-33101, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4387152565"]},{"raw_affiliation_string":"Tampere University of Technology, Department of Signal Processing, P.O. Box 553, FIN-33101, Finland","institution_ids":["https://openalex.org/I4387152565"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4387152565"],"apc_list":null,"apc_paid":null,"fwci":0.3201,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.35901765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.95169997215271,"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"}},"topics":[{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.95169997215271,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.0471000000834465,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.00019999999494757503,"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/progressive-image-coding","display_name":"progressive image coding","score":0.8159999847412109},{"id":"https://openalex.org/keywords/depth-maps","display_name":"depth images","score":0.8610000014305115},{"id":"https://openalex.org/keywords/3d-image-compression","display_name":"3D image compression","score":0.6110000014305115}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.8530899882316589},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.8303616046905518},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.785873532295227},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7279444932937622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6890283823013306},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6129657626152039},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5256144404411316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5006601810455322},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4801635146141052},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.47172966599464417},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.41291549801826477},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4111725389957428},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3352518081665039},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22761467099189758},{"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/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/isscs.2015.7203966","doi":"https://doi.org/10.1109/isscs.2015.7203966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscs.2015.7203966","pdf_url":null,"source":{"id":"https://openalex.org/S4306420212","display_name":"International Symposium on Signals, Circuits and Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Symposium on Signals, Circuits and Systems (ISSCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307798","display_name":"Nokia","ror":"https://ror.org/04pkc8m17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1975140999","https://openalex.org/W1978933233","https://openalex.org/W2018976949","https://openalex.org/W2019656226","https://openalex.org/W2046272470","https://openalex.org/W2047563047","https://openalex.org/W2082967074","https://openalex.org/W2119781527","https://openalex.org/W2133255058","https://openalex.org/W2146192635","https://openalex.org/W4249522571"],"related_works":["https://openalex.org/W2280916350","https://openalex.org/W2067279480","https://openalex.org/W2237930391","https://openalex.org/W2066609563","https://openalex.org/W2047563047","https://openalex.org/W2137021335","https://openalex.org/W2516458176","https://openalex.org/W7131210069","https://openalex.org/W2004664798","https://openalex.org/W2007202299"],"abstract_inverted_index":{"A":[0],"progressive":[1,113,135],"coding":[2],"method":[3,141],"is":[4,12,56],"proposed":[5,140],"for":[6,85],"depth-map":[7],"images,":[8],"where":[9],"the":[10,23,42,71,79,87,90,95,108,112,117,123,128,139,145,162],"bitstream":[11,136],"encoded":[13],"so":[14,50],"that":[15,51,160],"one":[16],"can":[17],"generate":[18],"many":[19],"lossy":[20,43],"versions":[21,44],"of":[22,41,62,89,107,131,148,161],"original,":[24],"encompassing":[25],"a":[26,52,63,156],"wide":[27],"range,":[28],"from":[29,150],"very":[30],"low":[31,151],"resolution":[32,54,65],"up":[33],"to":[34,47,70,77,82,116,153,159],"lossless":[35],"reconstruction.":[36],"The":[37,67,104,134],"partitions":[38],"into":[39],"regions":[40,61,76],"are":[45,127],"assumed":[46],"be":[48,83],"nested,":[49],"higher":[53],"image":[55],"obtained":[57],"by":[58,138],"splitting":[59],"some":[60],"lower":[64],"image.":[66],"encoder":[68],"transmits":[69],"decoder":[72],"information":[73,125],"about":[74],"which":[75],"split,":[78],"extra":[80,96],"contour":[81,118],"added":[84],"obtaining":[86],"shapes":[88],"more":[91],"refined":[92],"regions,":[93],"and":[94,122],"depth":[97,124],"values":[98],"needed":[99],"inside":[100],"each":[101],"new":[102],"region.":[103],"efficient":[105],"encoding":[106],"anchor":[109],"points":[110,119],"in":[111],"scenario,":[114],"relative":[115],"already":[120],"encoded,":[121],"recovery,":[126],"main":[129],"contributions":[130],"this":[132],"paper.":[133],"produced":[137],"scales":[142],"well":[143],"over":[144],"whole":[146],"range":[147],"rates,":[149],"rates":[152],"lossless,":[154],"reaching":[155],"performance":[157],"close":[158],"non-progressive":[163],"methods.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2016-06-24T00:00:00"}