{"id":"https://openalex.org/W3015312777","doi":"https://doi.org/10.1109/icassp40776.2020.9053742","title":"A New Multihypothesis Prediction Scheme for Compressed Video Sensing Reconstruction","display_name":"A New Multihypothesis Prediction Scheme for Compressed Video Sensing Reconstruction","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015312777","doi":"https://doi.org/10.1109/icassp40776.2020.9053742","mag":"3015312777"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5004549932","display_name":"Shuai Zheng","orcid":"https://orcid.org/0000-0002-2570-0105"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuai Zheng","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, China"],"affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100363146","display_name":"Xiao\u2013Ping Zhang","orcid":"https://orcid.org/0000-0001-5241-0069"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiao-Ping Zhang","raw_affiliation_strings":["Department of Electrical, Ryerson University, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical, Ryerson University, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017994496","display_name":"Jian Chen","orcid":"https://orcid.org/0000-0003-1788-7042"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Chen","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, China"],"affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101644003","display_name":"Yonghong Kuo","orcid":"https://orcid.org/0000-0001-8331-0618"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Kuo","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, China"],"affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004549932"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.5282,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58843677,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"93","issue":null,"first_page":"4337","last_page":"4341"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9970999956130981,"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/computer-science","display_name":"Computer science","score":0.7625962495803833},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7168117761611938},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.705147922039032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6029557585716248},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.47578275203704834},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.455416202545166},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45259901881217957},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43472352623939514},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3270370662212372},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32325848937034607},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16751515865325928},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12832018733024597}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7625962495803833},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7168117761611938},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.705147922039032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6029557585716248},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.47578275203704834},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.455416202545166},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45259901881217957},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43472352623939514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3270370662212372},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32325848937034607},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16751515865325928},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12832018733024597},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":22,"referenced_works":["https://openalex.org/W1148804415","https://openalex.org/W1972180784","https://openalex.org/W2019134512","https://openalex.org/W2063976813","https://openalex.org/W2094257491","https://openalex.org/W2096854583","https://openalex.org/W2111048499","https://openalex.org/W2118375162","https://openalex.org/W2129638195","https://openalex.org/W2296616510","https://openalex.org/W2507445327","https://openalex.org/W2507963000","https://openalex.org/W2577988464","https://openalex.org/W2579902272","https://openalex.org/W2743580075","https://openalex.org/W2800947535","https://openalex.org/W2895898287","https://openalex.org/W2896080308","https://openalex.org/W2909911569","https://openalex.org/W2943202326","https://openalex.org/W4250955649","https://openalex.org/W6755198784"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W2521347458","https://openalex.org/W2729981612","https://openalex.org/W4233449973","https://openalex.org/W2925692864","https://openalex.org/W1975289146","https://openalex.org/W2952736244"],"abstract_inverted_index":{"For":[0],"multihypothesis-based":[1],"compressed":[2],"video":[3],"sensing":[4],"schemes,":[5],"the":[6,49,54,61,77,83,91,102,121,126],"low":[7],"accuracy":[8,62,100],"of":[9,14,63,85,88,101],"weight":[10,64,71],"prediction":[11,33,72,103],"and":[12,56,99],"degradation":[13],"recovery":[15,92,116],"quality":[16,86,93,117],"for":[17,70],"high-motion":[18],"videos":[19],"are":[20,105],"open":[21],"challenges.":[22],"To":[23,35,59],"solve":[24],"this":[25,27],"problem,":[26],"paper":[28],"proposes":[29],"a":[30,40,66,112],"new":[31,41],"multihypothesis":[32],"scheme.":[34],"efficiently":[36],"get":[37],"high-quality":[38],"hypotheses,":[39,82],"hypotheses":[42,79,89],"acquiring":[43],"method":[44],"is":[45,73,94,118],"proposed":[46,122],"by":[47],"building":[48],"search":[50],"window":[51],"based":[52],"on":[53,90],"temporal":[55],"spatial":[57],"correlation.":[58],"improve":[60],"prediction,":[65],"residual":[67,81],"transforming":[68],"preprocessing":[69],"proposed.":[74],"By":[75],"converting":[76],"original":[78],"to":[80,125],"influence":[84],"fluctuation":[87],"suppressed":[95],"effectively.":[96],"The":[97],"sparsity":[98],"model":[104],"improved":[106],"efficiently.":[107],"Simulation":[108],"results":[109],"show":[110],"that":[111],"significant":[113],"improvement":[114],"in":[115,120],"obtained":[119],"scheme":[123],"compared":[124],"state-of-the-art":[127],"systems.":[128]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
