{"id":"https://openalex.org/W4414511733","doi":"https://doi.org/10.3390/jimaging11100332","title":"Dual-Attention-Based Block Matching for Dynamic Point Cloud Compression","display_name":"Dual-Attention-Based Block Matching for Dynamic Point Cloud Compression","publication_year":2025,"publication_date":"2025-09-25","ids":{"openalex":"https://openalex.org/W4414511733","doi":"https://doi.org/10.3390/jimaging11100332","pmid":"https://pubmed.ncbi.nlm.nih.gov/41150008"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging11100332","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11100332","pdf_url":"https://www.mdpi.com/2313-433X/11/10/332/pdf?version=1758798198","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/11/10/332/pdf?version=1758798198","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013533432","display_name":"Longhua Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210097715","display_name":"Qilu Normal University","ror":"https://ror.org/00wztsq19","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210097715"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Longhua Sun","raw_affiliation_strings":["School of Information Science and Engineering, Qilu Normal University, No. 2 Wenbo Road, Jinan 250200, China"],"raw_orcid":"https://orcid.org/0009-0005-6006-5150","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Qilu Normal University, No. 2 Wenbo Road, Jinan 250200, China","institution_ids":["https://openalex.org/I4210097715"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021215173","display_name":"Yingrui Wang","orcid":"https://orcid.org/0000-0001-5532-3454"},"institutions":[{"id":"https://openalex.org/I4210097715","display_name":"Qilu Normal University","ror":"https://ror.org/00wztsq19","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210097715"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingrui Wang","raw_affiliation_strings":["School of Information Science and Engineering, Qilu Normal University, No. 2 Wenbo Road, Jinan 250200, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Qilu Normal University, No. 2 Wenbo Road, Jinan 250200, China","institution_ids":["https://openalex.org/I4210097715"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111732505","display_name":"Qing Zhu","orcid":"https://orcid.org/0009-0001-0918-3996"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Zhu","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, No. 100 Pingleyuan, Beijing 100124, China"],"raw_orcid":"https://orcid.org/0009-0001-0918-3996","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, No. 100 Pingleyuan, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013533432"],"corresponding_institution_ids":["https://openalex.org/I4210097715"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.8209,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72631177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"11","issue":"10","first_page":"332","last_page":"332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9994000196456909,"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":0.9994000196456909,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9973000288009644,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.98089998960495,"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/data-compression","display_name":"Data compression","score":0.6190999746322632},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5782999992370605},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5738000273704529},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.5496000051498413},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5145999789237976},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.46619999408721924},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4072999954223633},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.3874000012874603},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.38119998574256897}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8140000104904175},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6190999746322632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6176000237464905},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5782999992370605},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5738000273704529},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.5496000051498413},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5145999789237976},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48170000314712524},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.46619999408721924},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4072999954223633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40059998631477356},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.3874000012874603},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.38119998574256897},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3416000008583069},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.3303000032901764},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.3197999894618988},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.3095000088214874},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.2939999997615814},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.2930999994277954},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jimaging11100332","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11100332","pdf_url":"https://www.mdpi.com/2313-433X/11/10/332/pdf?version=1758798198","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:41150008","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41150008","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:d1d1548b5167438c85f59972bee5865b","is_oa":true,"landing_page_url":"https://doaj.org/article/d1d1548b5167438c85f59972bee5865b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, Vol 11, Iss 10, p 332 (2025)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:11372236","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12565246","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jimaging11100332","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11100332","pdf_url":"https://www.mdpi.com/2313-433X/11/10/332/pdf?version=1758798198","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4414511733.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1498318113","https://openalex.org/W2121535648","https://openalex.org/W2161854574","https://openalex.org/W2319503556","https://openalex.org/W2617605942","https://openalex.org/W2789865539","https://openalex.org/W2890661530","https://openalex.org/W2905544027","https://openalex.org/W2922745530","https://openalex.org/W2963125977","https://openalex.org/W2976304245","https://openalex.org/W2982170926","https://openalex.org/W3016258792","https://openalex.org/W3035428054","https://openalex.org/W3046961466","https://openalex.org/W3098518823","https://openalex.org/W3099936357","https://openalex.org/W3113844551","https://openalex.org/W3159975835","https://openalex.org/W3179630053","https://openalex.org/W3193451716","https://openalex.org/W3195128047","https://openalex.org/W3205122979","https://openalex.org/W4221149392","https://openalex.org/W4224233550","https://openalex.org/W4225144468","https://openalex.org/W4225995093","https://openalex.org/W4226230003","https://openalex.org/W4282928804","https://openalex.org/W4297330752","https://openalex.org/W4312314157","https://openalex.org/W4372267304","https://openalex.org/W4384525947","https://openalex.org/W4386075996","https://openalex.org/W4386212288","https://openalex.org/W4387968031","https://openalex.org/W4389499075","https://openalex.org/W4390534472","https://openalex.org/W4392362364","https://openalex.org/W4393406764","https://openalex.org/W4398163837","https://openalex.org/W4398163966","https://openalex.org/W4400578792","https://openalex.org/W4402558827","https://openalex.org/W4403022702","https://openalex.org/W4411019598"],"related_works":[],"abstract_inverted_index":{"The":[0],"irregular":[1],"and":[2,34,73,144,185],"highly":[3],"non-uniform":[4],"spatial":[5],"distribution":[6],"inherent":[7],"to":[8,41,127,139],"dynamic":[9],"three-dimensional":[10],"(3D)":[11],"point":[12,65],"clouds":[13],"(DPCs)":[14],"severely":[15],"hampers":[16],"the":[17,43,92,95,131,154,167,171,176,190],"extraction":[18],"of":[19,46,62,94,164],"reliable":[20],"temporal":[21,44,74],"context,":[22],"rendering":[23],"inter-frame":[24,103,141,147],"compression":[25,36,157],"a":[26,49,85,101,114,123,160,186],"formidable":[27],"challenge.":[28],"Inspired":[29],"by":[30],"two-dimensional":[31],"(2D)":[32],"image":[33],"video":[35],"methods,":[37],"existing":[38],"approaches":[39,57],"attempt":[40],"model":[42],"dependence":[45],"DPCs":[47],"through":[48],"motion":[50,97,109,142],"estimation/motion":[51],"compensation":[52],"(ME/MC)":[53],"framework.":[54],"However,":[55],"these":[56],"represent":[58],"only":[59],"preliminary":[60],"applications":[61],"this":[63,81],"framework;":[64],"consistency":[66],"between":[67,133],"adjacent":[68],"frames":[69],"is":[70],"insufficiently":[71],"explored,":[72],"correlation":[75,132],"requires":[76],"further":[77,107],"investigation.":[78],"To":[79,106],"address":[80],"limitation,":[82],"we":[83,112],"propose":[84],"hierarchical":[86],"ME/MC":[87],"framework":[88],"that":[89,153],"adaptively":[90],"selects":[91],"granularity":[93],"estimated":[96],"field,":[98],"thereby":[99,145],"ensuring":[100],"fine-grained":[102],"prediction":[104,148],"process.":[105],"enhance":[108],"estimation":[110],"accuracy,":[111],"introduce":[113],"dual-attention-based":[115],"KNN":[116],"block-matching":[117],"(DA-KBM)":[118],"network.":[119],"This":[120],"network":[121],"employs":[122],"bidirectional":[124],"attention":[125],"mechanism":[126],"more":[128],"precisely":[129],"measure":[130],"points,":[134],"using":[135],"closely":[136],"correlated":[137],"points":[138],"predict":[140],"vectors":[143],"improve":[146],"accuracy.":[149],"Experimental":[150],"results":[151],"show":[152],"proposed":[155],"DPC":[156],"method":[158],"achieves":[159],"significant":[161],"improvement":[162],"(gain":[163],"70%)":[165],"in":[166],"BD-Rate":[168],"metric":[169],"on":[170],"8iFVBv2":[172],"dataset.":[173],"compared":[174],"with":[175],"standardized":[177],"Video-based":[178],"Point":[179],"Cloud":[180],"Compression":[181],"(V-PCC)":[182],"v13":[183],"method,":[184],"16%":[187],"gain":[188],"over":[189],"state-of-the-art":[191],"deep":[192],"learning-based":[193],"inter-mode":[194],"method.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}