{"id":"https://openalex.org/W1638854683","doi":"https://doi.org/10.1109/icinfa.2015.7279411","title":"A reconstruction algorithm based on 3D tree-structure Bayesian compressive sensing for underwater videos","display_name":"A reconstruction algorithm based on 3D tree-structure Bayesian compressive sensing for underwater videos","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1638854683","doi":"https://doi.org/10.1109/icinfa.2015.7279411","mag":"1638854683"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2015.7279411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2015.7279411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Information and Automation","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/A5111035333","display_name":"Xianjian Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108723","display_name":"Changzhou Institute of Technology","ror":"https://ror.org/020mrfq61","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108723"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianjian Xiao","raw_affiliation_strings":["College of Computer & Information Engineering, Changzhou Institute of Technology, Changzhou, Jiangsu Province, China","College of Computer & Information Engineering, Changzhou Institute of Technology, Jiangsu Province, China"],"affiliations":[{"raw_affiliation_string":"College of Computer & Information Engineering, Changzhou Institute of Technology, Changzhou, Jiangsu Province, China","institution_ids":["https://openalex.org/I4210108723"]},{"raw_affiliation_string":"College of Computer & Information Engineering, Changzhou Institute of Technology, Jiangsu Province, China","institution_ids":["https://openalex.org/I4210108723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104107553","display_name":"Yanbin Zhuang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108723","display_name":"Changzhou Institute of Technology","ror":"https://ror.org/020mrfq61","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108723"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanbin Zhuang","raw_affiliation_strings":["College of Computer & Information Engineering, Changzhou Institute of Technology, Changzhou, Jiangsu Province, China","College of Computer & Information Engineering, Changzhou Institute of Technology, Jiangsu Province, China"],"affiliations":[{"raw_affiliation_string":"College of Computer & Information Engineering, Changzhou Institute of Technology, Changzhou, Jiangsu Province, China","institution_ids":["https://openalex.org/I4210108723"]},{"raw_affiliation_string":"College of Computer & Information Engineering, Changzhou Institute of Technology, Jiangsu Province, China","institution_ids":["https://openalex.org/I4210108723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002150080","display_name":"Zunzhi Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zunzhi Wang","raw_affiliation_strings":["College of Computer & Information, University of HoHai, Nanjing, Jiangsu Province, China"],"affiliations":[{"raw_affiliation_string":"College of Computer & Information, University of HoHai, Nanjing, Jiangsu Province, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100768031","display_name":"Xuewu Zhang","orcid":"https://orcid.org/0000-0001-6214-880X"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuewu Zhang","raw_affiliation_strings":["College of Computer & Information, University of HoHai, Nanjing, Jiangsu Province, China"],"affiliations":[{"raw_affiliation_string":"College of Computer & Information, University of HoHai, Nanjing, Jiangsu Province, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5111035333"],"corresponding_institution_ids":["https://openalex.org/I4210108723"],"apc_list":null,"apc_paid":null,"fwci":0.6498,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68161232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"886","last_page":"891"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7216510772705078},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6984120011329651},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.6486471891403198},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.6259632110595703},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5904257297515869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5633202195167542},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5197176933288574},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4969821274280548},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4609302878379822},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.44502636790275574},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.44167208671569824},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.439652681350708},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3314415216445923},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15315693616867065},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11157369613647461},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.10469228029251099},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08756649494171143}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7216510772705078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6984120011329651},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.6486471891403198},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.6259632110595703},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5904257297515869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5633202195167542},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5197176933288574},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4969821274280548},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4609302878379822},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.44502636790275574},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.44167208671569824},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.439652681350708},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3314415216445923},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15315693616867065},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11157369613647461},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.10469228029251099},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08756649494171143},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2015.7279411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2015.7279411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Information and Automation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.7599999904632568,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1969415786","https://openalex.org/W1986213393","https://openalex.org/W1986701690","https://openalex.org/W2028349405","https://openalex.org/W2030369007","https://openalex.org/W2049502219","https://openalex.org/W2053691921","https://openalex.org/W2092680585","https://openalex.org/W2094068234","https://openalex.org/W2096854583","https://openalex.org/W2098559361","https://openalex.org/W2116148865","https://openalex.org/W2125680629","https://openalex.org/W2128659236","https://openalex.org/W2134929491","https://openalex.org/W2151364185","https://openalex.org/W2151693816","https://openalex.org/W2151932824","https://openalex.org/W2160547390","https://openalex.org/W2165153129","https://openalex.org/W2296616510","https://openalex.org/W2380601594","https://openalex.org/W2391451985","https://openalex.org/W3102777279","https://openalex.org/W3125735862","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W1916685473","https://openalex.org/W2055682261","https://openalex.org/W1993363272","https://openalex.org/W2186390138","https://openalex.org/W2060035984","https://openalex.org/W2790129917","https://openalex.org/W2158224665","https://openalex.org/W2992856432","https://openalex.org/W2100638064","https://openalex.org/W2127787376"],"abstract_inverted_index":{"The":[0,106],"traditional":[1],"underwater":[2,15,43],"video":[3,16,60,100,118],"coding":[4],"has":[5],"relative":[6],"high":[7],"demand":[8],"of":[9,70,80],"Underwater":[10],"Acoustic":[11],"Channel":[12],"and":[13,20,83],"the":[14,46,59,63,68,76,81,111],"scenes":[17,119],"are":[18],"complex":[19,117],"instable.":[21],"To":[22],"deal":[23],"with":[24],"these":[25],"problems,":[26],"this":[27],"paper":[28],"presents":[29],"a":[30,88],"reconstruction":[31],"algorithm":[32,94,112],"based":[33,66],"on":[34,67],"three":[35],"dimension":[36],"(3D)":[37],"tree-structure":[38],"Bayesian":[39,71,89],"compressive":[40,53,72,90],"sensing":[41,91],"for":[42],"videos.":[44],"On":[45,62],"encoder":[47],"side,":[48],"analog":[49],"color":[50,99],"coded":[51],"aperture":[52],"temporal":[54],"imaging":[55],"system":[56],"(CACTI)":[57],"encodes":[58],"signal.":[61],"decoder":[64],"end,":[65],"model":[69],"sensing,":[73],"by":[74],"exploiting":[75],"3D":[77],"tree":[78],"structure":[79],"wavelet":[82],"Discrete":[84],"Cosine":[85],"Transformation(DCT)":[86],"coefficients,":[87],"inverse":[92],"transform":[93],"is":[95,113],"derived":[96],"to":[97,115],"reconstruct":[98,116],"frames":[101],"from":[102],"single-channel":[103],"compression":[104],"measurements.":[105],"experimental":[107],"results":[108],"show":[109],"that":[110],"able":[114],"more":[120],"accurately.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}