{"id":"https://openalex.org/W4406861186","doi":"https://doi.org/10.1109/vcip63160.2024.10849833","title":"No-Reference Point Cloud Quality Assessment with Adaptive Keyframe Selection","display_name":"No-Reference Point Cloud Quality Assessment with Adaptive Keyframe Selection","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4406861186","doi":"https://doi.org/10.1109/vcip63160.2024.10849833"},"language":"en","primary_location":{"id":"doi:10.1109/vcip63160.2024.10849833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip63160.2024.10849833","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on 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/A5021206755","display_name":"Haomiao Wang","orcid":"https://orcid.org/0000-0002-6269-4058"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haomiao Wang","raw_affiliation_strings":["Beijing Technology and Business University,School of Computer and Artificial Intelligence,China"],"affiliations":[{"raw_affiliation_string":"Beijing Technology and Business University,School of Computer and Artificial Intelligence,China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764923","display_name":"Xiaochuan Wang","orcid":"https://orcid.org/0000-0002-0657-6217"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochuan Wang","raw_affiliation_strings":["Beijing Technology and Business University,School of Computer and Artificial Intelligence,China"],"affiliations":[{"raw_affiliation_string":"Beijing Technology and Business University,School of Computer and Artificial Intelligence,China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113316013","display_name":"Xianpeng Yuan","orcid":"https://orcid.org/0009-0007-2049-5919"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianpeng Yuan","raw_affiliation_strings":["Beijing Technology and Business University,School of Computer and Artificial Intelligence,China"],"affiliations":[{"raw_affiliation_string":"Beijing Technology and Business University,School of Computer and Artificial Intelligence,China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083414756","display_name":"Xianming Chen","orcid":"https://orcid.org/0000-0002-9013-5974"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianming Chen","raw_affiliation_strings":["Beijing Technology and Business University,School of Computer and Artificial Intelligence,China"],"affiliations":[{"raw_affiliation_string":"Beijing Technology and Business University,School of Computer and Artificial Intelligence,China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108049287","display_name":"Haisheng Li","orcid":"https://orcid.org/0000-0003-4861-0513"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haisheng Li","raw_affiliation_strings":["Beijing Technology and Business University,School of Computer and Artificial Intelligence,China"],"affiliations":[{"raw_affiliation_string":"Beijing Technology and Business University,School of Computer and Artificial Intelligence,China","institution_ids":["https://openalex.org/I179026463"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021206755"],"corresponding_institution_ids":["https://openalex.org/I179026463"],"apc_list":null,"apc_paid":null,"fwci":0.2225,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52683071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/point-cloud","display_name":"Point cloud","score":0.7490612268447876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7360892295837402},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6719313263893127},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6351231932640076},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.519388735294342},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.49018794298171997},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4312482476234436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2852967083454132},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.11714643239974976},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10749763250350952},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.07148861885070801},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.06616124510765076},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06131702661514282}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7490612268447876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7360892295837402},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6719313263893127},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6351231932640076},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.519388735294342},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.49018794298171997},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4312482476234436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2852967083454132},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.11714643239974976},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10749763250350952},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.07148861885070801},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.06616124510765076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06131702661514282},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip63160.2024.10849833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip63160.2024.10849833","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320330944","display_name":"Nature","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1977725648","https://openalex.org/W1982471090","https://openalex.org/W1995875735","https://openalex.org/W2102166818","https://openalex.org/W2793293836","https://openalex.org/W2890979795","https://openalex.org/W3015751022","https://openalex.org/W3032119513","https://openalex.org/W3035130434","https://openalex.org/W3094394107","https://openalex.org/W3174069367","https://openalex.org/W3183144290","https://openalex.org/W3190212754","https://openalex.org/W3207498402","https://openalex.org/W3211374646","https://openalex.org/W4200634525","https://openalex.org/W4288084829","https://openalex.org/W4376653303","https://openalex.org/W4385768180","https://openalex.org/W4389610205"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"In":[0,86],"recent":[1],"years,":[2],"projection-based":[3],"no-reference":[4,74],"point":[5,21,75,93,129],"cloud":[6,22,76,94],"quality":[7,34,77,125],"metrics":[8,17,35],"have":[9],"shown":[10],"remarkable":[11],"performance":[12,139],"on":[13,116],"public":[14],"datasets.":[15],"These":[16],"involve":[18],"projecting":[19],"the":[20,37,90,111,117,124,128,146,155],"onto":[23],"a":[24,47,72,105],"2D":[25],"space":[26],"from":[27,46,100],"multiple":[28],"viewpoints":[29,102],"and":[30,62,103],"applying":[31],"traditional":[32],"image":[33],"to":[36,59,109],"resulting":[38],"projected":[39],"images.":[40],"However,":[41],"these":[42,67],"existing":[43],"methods":[44],"suffer":[45],"measurable":[48],"projection":[49,95],"strategy,":[50],"which":[51],"would":[52],"induce":[53],"information":[54],"loss":[55],"or":[56],"redundancy":[57],"leading":[58],"training":[60],"bias":[61],"reduced":[63],"generalizability.":[64],"To":[65],"overcome":[66],"limitations,":[68],"we":[69,88,120],"propose":[70],"AKSNet,":[71],"novel":[73],"metric":[78],"that":[79,134],"utilizes":[80],"an":[81],"adaptive":[82,148],"keyframe":[83,106,149],"selection":[84,107],"strategy.":[85],"particular,":[87],"treat":[89],"process":[91],"of":[92,127],"as":[96],"video":[97],"sequences":[98],"captured":[99],"successive":[101],"design":[104],"module":[108],"pick":[110],"most":[112],"representative":[113],"frames.":[114],"Based":[115],"selected":[118],"frames,":[119],"can":[121,152],"subsequently":[122],"predict":[123],"score":[126],"cloud.":[130],"Experimental":[131],"results":[132],"demonstrate":[133],"our":[135],"method":[136],"achieves":[137],"competitive":[138],"in":[140],"comparison":[141],"with":[142],"state-of-the-art":[143],"methods.":[144],"While":[145],"proposed":[147],"selecting":[150],"strategy":[151],"effectively":[153],"promote":[154],"generalization":[156],"performance.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
