{"id":"https://openalex.org/W2151329928","doi":"https://doi.org/10.1109/icme.2013.6607429","title":"Coding of depth signals for 3D video using wedgelet block segmentation with residual adaptation","display_name":"Coding of depth signals for 3D video using wedgelet block segmentation with residual adaptation","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2151329928","doi":"https://doi.org/10.1109/icme.2013.6607429","mag":"2151329928"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2013.6607429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2013.6607429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and Expo (ICME)","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/A5097530896","display_name":"Philipp Merkle","orcid":"https://orcid.org/0009-0004-6646-3208"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Philipp Merkle","raw_affiliation_strings":["Image Processing Department, Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute, Einsteinufer 37, 10587 Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Department, Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute, Einsteinufer 37, 10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019469492","display_name":"Karsten M\u00fcller","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Karsten Muller","raw_affiliation_strings":["Image Processing Department, Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute, Einsteinufer 37, 10587 Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Department, Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute, Einsteinufer 37, 10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034084717","display_name":"Thomas Wiegand","orcid":"https://orcid.org/0000-0002-1121-2581"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Wiegand","raw_affiliation_strings":["Image Processing Department, Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute, Einsteinufer 37, 10587 Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Department, Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute, Einsteinufer 37, 10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2800274787"],"apc_list":null,"apc_paid":null,"fwci":3.5223,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.94582426,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":1.0,"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":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9995999932289124,"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":0.7539225220680237},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.718034029006958},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.663887083530426},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6217472553253174},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.6069619655609131},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5976518988609314},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5817270874977112},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.5581433176994324},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5286833643913269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5228136777877808},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"Algorithmic efficiency","score":0.5078199505805969},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.30041399598121643},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.28465914726257324},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.27306848764419556},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23585352301597595},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.21204715967178345},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.12219753861427307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09918412566184998}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7539225220680237},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.718034029006958},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.663887083530426},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6217472553253174},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.6069619655609131},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5976518988609314},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5817270874977112},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.5581433176994324},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5286833643913269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5228136777877808},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.5078199505805969},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.30041399598121643},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.28465914726257324},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.27306848764419556},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23585352301597595},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.21204715967178345},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.12219753861427307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09918412566184998},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2013.6607429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2013.6607429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/382190","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/382190","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W832984975","https://openalex.org/W1965777286","https://openalex.org/W1984067244","https://openalex.org/W1987193942","https://openalex.org/W2039760575","https://openalex.org/W2088452767","https://openalex.org/W2101700394","https://openalex.org/W2112559731","https://openalex.org/W2137341214","https://openalex.org/W2139379400","https://openalex.org/W2276329208","https://openalex.org/W4285719527","https://openalex.org/W6672511504","https://openalex.org/W6680918618"],"related_works":["https://openalex.org/W2237847712","https://openalex.org/W1968317508","https://openalex.org/W2613214950","https://openalex.org/W4212979751","https://openalex.org/W801666017","https://openalex.org/W2072993124","https://openalex.org/W2072461723","https://openalex.org/W3105214063","https://openalex.org/W2019893573","https://openalex.org/W2908833932"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,12,29,71,93,108,129],"new":[4,72],"approach":[5,27],"for":[6,33,66,84,103],"the":[7,19,34,41,58,82,104,114,122],"depth":[8,35,44,67,105,123],"coding":[9,15,31,75,117,124],"part":[10],"of":[11,60,74,97],"3D":[13,109],"video":[14,110,116],"extension":[16],"based":[17,112],"on":[18,113],"Multiview":[20],"Video":[21],"plus":[22],"Depth":[23],"(MVD)":[24],"representation.":[25],"Our":[26],"targets":[28],"higher":[30],"efficiency":[32],"component":[36],"and":[37,76,79,87],"is":[38,101],"motivated":[39],"by":[40,69,80],"fact":[42],"that":[43,49,92],"signals":[45],"have":[46],"specific":[47],"characteristics":[48],"differ":[50],"from":[51,121],"video.":[52],"For":[53],"this":[54],"purpose":[55],"we":[56],"apply":[57],"method":[59],"wedgelet":[61],"segmentation":[62],"with":[63],"residual":[64],"adaptation":[65],"blocks":[68],"implementing":[70],"set":[73],"prediction":[77],"modes":[78],"optimizing":[81],"algorithms":[83],"efficient":[85],"processing":[86],"signaling.":[88],"The":[89],"results":[90],"show":[91],"bit":[94],"rate":[95],"reduction":[96],"up":[98],"to":[99,128],"6%":[100],"achieved":[102],"component,":[106],"using":[107],"codec":[111],"high-efficiency":[115],"(HEVC)":[118],"technology.":[119],"Apart":[120],"gains,":[125],"wedgelets":[126],"lead":[127],"considerably":[130],"better":[131],"rendered":[132],"view":[133],"quality.":[134]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}