{"id":"https://openalex.org/W3203841313","doi":"https://doi.org/10.1109/bmsb53066.2021.9547021","title":"Lossless Point Cloud Attribute Compression with Normal-based Intra Prediction","display_name":"Lossless Point Cloud Attribute Compression with Normal-based Intra Prediction","publication_year":2021,"publication_date":"2021-08-04","ids":{"openalex":"https://openalex.org/W3203841313","doi":"https://doi.org/10.1109/bmsb53066.2021.9547021","mag":"3203841313"},"language":"en","primary_location":{"id":"doi:10.1109/bmsb53066.2021.9547021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb53066.2021.9547021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","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/A5103272302","display_name":"Qian Yin","orcid":"https://orcid.org/0000-0002-9448-1639"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Yin","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004450757","display_name":"Qingshan Ren","orcid":"https://orcid.org/0000-0002-9018-9702"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingshan Ren","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021558189","display_name":"Lili Zhao","orcid":"https://orcid.org/0000-0002-5182-7230"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Zhao","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354895","display_name":"Wenyi Wang","orcid":"https://orcid.org/0000-0003-1619-0294"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyi Wang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100689467","display_name":"Jianwen Chen","orcid":"https://orcid.org/0000-0002-5987-148X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwen Chen","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103272302"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.8756,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.69962945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/lossless-compression","display_name":"Lossless compression","score":0.9481821060180664},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8183116912841797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7698758244514465},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.681292712688446},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.6810356378555298},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5542183518409729},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5148441195487976},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4893619418144226},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.4771520495414734},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.4464056193828583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43635064363479614},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4187380075454712},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3943635821342468},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37141624093055725},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3712272346019745},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34761908650398254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15923425555229187},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1459280252456665},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06801953911781311}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.9481821060180664},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8183116912841797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7698758244514465},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.681292712688446},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.6810356378555298},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5542183518409729},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5148441195487976},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4893619418144226},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.4771520495414734},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.4464056193828583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43635064363479614},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4187380075454712},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3943635821342468},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37141624093055725},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3712272346019745},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34761908650398254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15923425555229187},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1459280252456665},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06801953911781311},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmsb53066.2021.9547021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb53066.2021.9547021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1986678681","https://openalex.org/W1995963656","https://openalex.org/W2146395539","https://openalex.org/W2415653907","https://openalex.org/W2516853023","https://openalex.org/W2963916701"],"related_works":["https://openalex.org/W2385628723","https://openalex.org/W2547124190","https://openalex.org/W3180760233","https://openalex.org/W3035703949","https://openalex.org/W4247601675","https://openalex.org/W1970394887","https://openalex.org/W755971114","https://openalex.org/W2118338613","https://openalex.org/W1982468865","https://openalex.org/W3080614128"],"abstract_inverted_index":{"The":[0,83],"sparse":[1],"LiDAR":[2,113],"point":[3,38,81],"clouds":[4],"become":[5],"more":[6,8,71],"and":[7],"popular":[9],"in":[10,28,50],"various":[11],"applications,":[12],"e.g.,":[13],"the":[14,29,45,51,55,78,97,106,129],"autonomous":[15],"driving.":[16],"However,":[17],"for":[18,54,137],"this":[19,59],"type":[20],"of":[21,80,99],"data,":[22],"there":[23],"exists":[24],"much":[25],"under-explored":[26],"space":[27],"corresponding":[30],"compression":[31,40,75,126],"framework":[32],"proposed":[33,119],"by":[34,76],"MPEG,":[35],"i.e.,":[36],"geometry-based":[37],"cloud":[39],"(G-PCC).":[41],"In":[42,58],"G-PCC,":[43],"only":[44],"distance-based":[46],"similarity":[47],"is":[48,87,121],"considered":[49],"intra":[52,65],"prediction":[53,66],"attribute":[56,74,139],"compression.":[57],"paper,":[60],"we":[61],"propose":[62],"a":[63,70],"normal-based":[64],"scheme,":[67],"which":[68,95],"provides":[69],"efficient":[72],"lossless":[73,138],"introducing":[77],"normals":[79,86],"clouds.":[82],"angle":[84],"between":[85],"used":[88],"to":[89,123],"further":[90],"explore":[91],"accurate":[92],"local":[93],"similarity,":[94],"optimizes":[96],"selection":[98],"predictors.":[100],"We":[101],"implement":[102],"our":[103,118],"method":[104,120],"into":[105],"G-PCC":[107,130],"reference":[108],"software.":[109],"Experimental":[110],"results":[111],"over":[112],"acquired":[114],"datasets":[115],"demonstrate":[116],"that":[117],"able":[122],"deliver":[124],"better":[125],"performance":[127],"than":[128],"anchor,":[131],"with":[132],"2.1%":[133],"gains":[134],"on":[135],"average":[136],"coding.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}