{"id":"https://openalex.org/W2573055323","doi":"https://doi.org/10.1109/vcip.2016.7805584","title":"A novel mode decision for depth map coding in 3D-AVS","display_name":"A novel mode decision for depth map coding in 3D-AVS","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2573055323","doi":"https://doi.org/10.1109/vcip.2016.7805584","mag":"2573055323"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2016.7805584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","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/A5000386087","display_name":"Jing Su","orcid":"https://orcid.org/0000-0002-9071-5725"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Su","raw_affiliation_strings":["Institute of Digital Media & Cooperative Medianet Innovation Center, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Digital Media & Cooperative Medianet Innovation Center, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086988634","display_name":"Falei Luo","orcid":"https://orcid.org/0000-0003-3263-9549"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Falei Luo","raw_affiliation_strings":["Institute of Digital Media & Cooperative Medianet Innovation Center, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Digital Media & Cooperative Medianet Innovation Center, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385183","display_name":"Shanshe Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshe Wang","raw_affiliation_strings":["Institute of Digital Media & Cooperative Medianet Innovation Center, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Digital Media & Cooperative Medianet Innovation Center, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385178","display_name":"Shiqi Wang","orcid":"https://orcid.org/0000-0002-3583-959X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqi Wang","raw_affiliation_strings":["Institute of Digital Media & Cooperative Medianet Innovation Center, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Digital Media & Cooperative Medianet Innovation Center, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102864522","display_name":"Xiaoqiang Guo","orcid":"https://orcid.org/0000-0003-2355-0569"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqiang Guo","raw_affiliation_strings":["Institute of Digital Media & Cooperative Medianet Innovation Center, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Digital Media & Cooperative Medianet Innovation Center, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039832462","display_name":"Siwei Ma","orcid":"https://orcid.org/0000-0002-2731-5403"},"institutions":[{"id":"https://openalex.org/I4210111085","display_name":"Academy of Broadcasting Science","ror":"https://ror.org/01z4nez64","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210111085"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Ma","raw_affiliation_strings":["Academy of broadcasting and science, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Academy of broadcasting and science, Beijing, China","institution_ids":["https://openalex.org/I4210111085"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5000386087"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16892938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":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":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9977999925613403,"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/weighting","display_name":"Weighting","score":0.7422752380371094},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6653181910514832},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6444307565689087},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5755565762519836},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.565426230430603},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.5256717801094055},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5256425142288208},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.498546838760376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4580248296260834},{"id":"https://openalex.org/keywords/rate\u2013distortion-optimization","display_name":"Rate\u2013distortion optimization","score":0.43250036239624023},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.42388302087783813},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.4180125594139099},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35217612981796265},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28392893075942993},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16082894802093506},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1216382384300232},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1126183271408081},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.08108004927635193},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.060487329959869385}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7422752380371094},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6653181910514832},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6444307565689087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5755565762519836},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.565426230430603},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.5256717801094055},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5256425142288208},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.498546838760376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4580248296260834},{"id":"https://openalex.org/C50056821","wikidata":"https://www.wikidata.org/wiki/Q774502","display_name":"Rate\u2013distortion optimization","level":5,"score":0.43250036239624023},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.42388302087783813},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4180125594139099},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35217612981796265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28392893075942993},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16082894802093506},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1216382384300232},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1126183271408081},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.08108004927635193},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.060487329959869385},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2016.7805584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1984621922","https://openalex.org/W2035972953","https://openalex.org/W2062720236","https://openalex.org/W2069305428","https://openalex.org/W2085621428","https://openalex.org/W2090290321","https://openalex.org/W2094522781","https://openalex.org/W2113693635","https://openalex.org/W2124419714","https://openalex.org/W2345043583"],"related_works":["https://openalex.org/W3013747218","https://openalex.org/W3006218813","https://openalex.org/W2103981088","https://openalex.org/W2028129776","https://openalex.org/W2169341578","https://openalex.org/W2110652897","https://openalex.org/W2106120961","https://openalex.org/W2115801141","https://openalex.org/W2018913503","https://openalex.org/W1985168463"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,68],"new":[4,69],"mode":[5,41,93],"decision":[6,42],"scheme":[7,70,101],"is":[8,36,49,84,112],"proposed":[9,67,100],"for":[10,39,92],"depth":[11,44,57],"map":[12,45],"coding":[13],"in":[14,106],"3D-AVS.":[15,107],"The":[16,108],"novelty":[17],"of":[18,33,43,56,62],"the":[19,23,40,47,53,63,73,79,82,88,99],"paper":[20],"mainly":[21],"contains":[22],"following":[24],"two":[25],"points.":[26],"Firstly,":[27],"an":[28],"improved":[29],"distortion":[30,48,58,61,83,90],"estimation":[31],"model":[32],"synthesized":[34,64],"views":[35],"proposed.":[37],"Secondly,":[38],"coding,":[46],"represented":[50],"to":[51,71,86],"be":[52],"weighted":[54],"sum":[55],"and":[59],"estimated":[60],"view.":[65],"We":[66],"derive":[72],"weighting":[74],"factors":[75],"adaptively":[76],"based":[77],"on":[78],"disparity.":[80],"Then":[81],"utilized":[85],"calculate":[87],"rate":[89],"cost":[91],"decision.":[94],"Experimental":[95],"results":[96],"demonstrate":[97],"that":[98],"achieves":[102],"remarkable":[103],"performance":[104],"improvement":[105],"average":[109],"BD-rate":[110],"gain":[111],"about":[113],"12%.":[114]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}