{"id":"https://openalex.org/W2963712400","doi":"https://doi.org/10.1145/3240508.3240696","title":"Hybrid Point Cloud Attribute Compression Using Slice-based Layered Structure and Block-based Intra Prediction","display_name":"Hybrid Point Cloud Attribute Compression Using Slice-based Layered Structure and Block-based Intra Prediction","publication_year":2018,"publication_date":"2018-10-15","ids":{"openalex":"https://openalex.org/W2963712400","doi":"https://doi.org/10.1145/3240508.3240696","mag":"2963712400"},"language":"en","primary_location":{"id":"doi:10.1145/3240508.3240696","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240696","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Multimedia","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/A5040696546","display_name":"Yiting Shao","orcid":"https://orcid.org/0000-0001-9625-0124"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiting Shao","raw_affiliation_strings":["Peking University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100360242","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0001-9611-6697"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["Peking University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447691","display_name":"Ge Li","orcid":"https://orcid.org/0000-0003-0140-0949"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Li","raw_affiliation_strings":["Peking University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380625","display_name":"Zhu Li","orcid":"https://orcid.org/0000-0002-8246-177X"},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhu Li","raw_affiliation_strings":["University of Missouri-Kansas City, Kansas, MO, USA"],"affiliations":[{"raw_affiliation_string":"University of Missouri-Kansas City, Kansas, MO, USA","institution_ids":["https://openalex.org/I75421653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100361230","display_name":"Li Li","orcid":"https://orcid.org/0000-0002-7163-6263"},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Li","raw_affiliation_strings":["University of Missouri-Kansas City, Kansas, MO, USA"],"affiliations":[{"raw_affiliation_string":"University of Missouri-Kansas City, Kansas, MO, USA","institution_ids":["https://openalex.org/I75421653"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5040696546"],"corresponding_institution_ids":["https://openalex.org/I4210128628"],"apc_list":null,"apc_paid":null,"fwci":2.2981,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.91841692,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1199","last_page":"1207"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6330718398094177},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6016584634780884},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.5870333909988403},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5796427726745605},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4594690501689911},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4569171071052551},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4419035017490387},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41013461351394653},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.3712915778160095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24532470107078552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23178961873054504}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6330718398094177},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6016584634780884},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.5870333909988403},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5796427726745605},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4594690501689911},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4569171071052551},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4419035017490387},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41013461351394653},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.3712915778160095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24532470107078552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23178961873054504},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3240508.3240696","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240696","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1529450504","https://openalex.org/W1968350445","https://openalex.org/W1986678681","https://openalex.org/W2057847998","https://openalex.org/W2089365261","https://openalex.org/W2116795845","https://openalex.org/W2125836634","https://openalex.org/W2130567155","https://openalex.org/W2134076294","https://openalex.org/W2134815569","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2150182327","https://openalex.org/W2167724667","https://openalex.org/W2169161136","https://openalex.org/W2319503556","https://openalex.org/W2400667957","https://openalex.org/W2415653907","https://openalex.org/W2516853023","https://openalex.org/W2565708152","https://openalex.org/W2793293836","https://openalex.org/W2963916701","https://openalex.org/W3088595254","https://openalex.org/W6631686956"],"related_works":["https://openalex.org/W2094583657","https://openalex.org/W1594300462","https://openalex.org/W2158009109","https://openalex.org/W1606460848","https://openalex.org/W2112852877","https://openalex.org/W2772846670","https://openalex.org/W1706111048","https://openalex.org/W2034796835","https://openalex.org/W3188631569","https://openalex.org/W2258231948"],"abstract_inverted_index":{"Point":[0],"cloud":[1,29],"compression":[2,31],"is":[3,87,98,147,174],"a":[4,26,41,46,143,170],"key":[5],"enabler":[6],"for":[7,121,154],"the":[8,103,133,151],"emerging":[9],"applications":[10],"of":[11,105],"immersive":[12],"visual":[13],"communication,":[14],"autonomous":[15],"driving":[16],"and":[17,45,140],"smart":[18],"cities,":[19],"etc.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24,60],"propose":[25],"hybrid":[27],"point":[28],"attribute":[30,106],"scheme":[32,44,67,80],"built":[33],"on":[34,82,102,141,166],"an":[35,62,77],"original":[36],"layered":[37],"data":[38],"structure.":[39],"First,":[40],"slice":[42],"partition":[43],"geometry-adaptive":[47],"k-dimensional":[48],"tree":[49],"(k-d":[50],"tree)":[51],"method":[52,129],"are":[53,115],"devised":[54],"to":[55,69,90,117],"generate":[56],"layer":[57],"structures.":[58],"Second,":[59],"introduce":[61],"efficient":[63],"block-based":[64],"intra":[65],"prediction":[66],"containing":[68],"exploit":[70],"spatial":[71],"correlations":[72],"among":[73],"adjacent":[74],"points.":[75],"Third,":[76],"adaptive":[78],"transform":[79,93,137],"based":[81,101],"Graph":[83],"Fourier":[84],"Transform":[85],"(GFT)":[86],"Lagrangian":[88],"optimized":[89],"achieve":[91],"better":[92,131],"efficiency.":[94],"The":[95],"Lagrange":[96],"multiplier":[97],"off-line":[99],"derived":[100],"statistics":[104],"coding.":[107,123],"Last":[108],"but":[109],"not":[110],"least,":[111],"multiple":[112],"scan":[113],"modes":[114],"dedicated":[116],"improve":[118],"coding":[119],"efficiency":[120],"entropy":[122],"Experimental":[124],"results":[125],"demonstrate":[126],"that":[127],"our":[128],"performs":[130],"than":[132],"state-of-the-art":[134],"region-adaptive":[135],"hierarchical":[136],"(RAHT)":[138],"system,":[139],"average":[142],"37.21%":[144],"BD-rate":[145,172],"gain":[146,173],"achieved.":[148],"Comparing":[149],"with":[150],"test":[152],"model":[153],"category":[155],"1":[156],"(TMC1)":[157],"anchors,":[158],"which":[159],"were":[160],"recently":[161],"published":[162],"by":[163],"MPEG-3DG":[164],"group":[165],"121st":[167],"MPEG":[168],"meeting,":[169],"8.81%":[171],"obtained.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}