{"id":"https://openalex.org/W2890304197","doi":"https://doi.org/10.4018/ijmcmc.2018100102","title":"Residual Reconstruction Algorithm Based on Half-Pixel Multi-Hypothesis Prediction for Distributed Compressive Video Sensing","display_name":"Residual Reconstruction Algorithm Based on Half-Pixel Multi-Hypothesis Prediction for Distributed Compressive Video Sensing","publication_year":2018,"publication_date":"2018-09-11","ids":{"openalex":"https://openalex.org/W2890304197","doi":"https://doi.org/10.4018/ijmcmc.2018100102","mag":"2890304197"},"language":"en","primary_location":{"id":"doi:10.4018/ijmcmc.2018100102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijmcmc.2018100102","pdf_url":null,"source":{"id":"https://openalex.org/S192184247","display_name":"International Journal of Mobile Computing and Multimedia Communications","issn_l":"1937-9404","issn":["1937-9404","1937-9412"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Mobile Computing and Multimedia Communications","raw_type":"journal-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/A5101753899","display_name":"Ying Tong","orcid":"https://orcid.org/0000-0001-6165-0291"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Tong","raw_affiliation_strings":["PLA University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618292","display_name":"Rui Chen","orcid":"https://orcid.org/0000-0001-7868-1115"},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Chen","raw_affiliation_strings":["Nanjing Institute of Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Institute of Technology, Nanjing, China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384175","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0002-5019-6393"},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Nanjing Institute of Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Institute of Technology, Nanjing, China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003564873","display_name":"Minghu Wu","orcid":"https://orcid.org/0000-0002-2148-7984"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghu Wu","raw_affiliation_strings":["Hubei Collaborative Innovation Center for High-efficiency Utilization of Solar Energy, Hubei University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Collaborative Innovation Center for High-efficiency Utilization of Solar Energy, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10205244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"4","first_page":"16","last_page":"33"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9973000288009644,"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"}},{"id":"https://openalex.org/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8230252265930176},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7722697257995605},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7501847743988037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6379848122596741},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6264293193817139},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.586144208908081},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5630602836608887},{"id":"https://openalex.org/keywords/reconstruction-algorithm","display_name":"Reconstruction algorithm","score":0.5562421083450317},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5510608553886414},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.5421680808067322},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5418878197669983},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.537370502948761},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.47698599100112915},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43663516640663147},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.43026307225227356},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15770795941352844},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.08260542154312134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8230252265930176},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7722697257995605},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7501847743988037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6379848122596741},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6264293193817139},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.586144208908081},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5630602836608887},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.5562421083450317},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5510608553886414},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.5421680808067322},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5418878197669983},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.537370502948761},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.47698599100112915},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43663516640663147},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.43026307225227356},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15770795941352844},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.08260542154312134}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijmcmc.2018100102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijmcmc.2018100102","pdf_url":null,"source":{"id":"https://openalex.org/S192184247","display_name":"International Journal of Mobile Computing and Multimedia Communications","issn_l":"1937-9404","issn":["1937-9404","1937-9412"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Mobile Computing and Multimedia Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W171673235","https://openalex.org/W812458685","https://openalex.org/W1502593327","https://openalex.org/W1576241031","https://openalex.org/W1984108421","https://openalex.org/W2000899037","https://openalex.org/W2071284784","https://openalex.org/W2073437729","https://openalex.org/W2076592572","https://openalex.org/W2083020047","https://openalex.org/W2090270274","https://openalex.org/W2094257491","https://openalex.org/W2096854583","https://openalex.org/W2099100030","https://openalex.org/W2100037283","https://openalex.org/W2103115408","https://openalex.org/W2109449402","https://openalex.org/W2119667497","https://openalex.org/W2129812098","https://openalex.org/W2135859872","https://openalex.org/W2140856955","https://openalex.org/W2171783193","https://openalex.org/W2239791299","https://openalex.org/W2323923645","https://openalex.org/W2482406273","https://openalex.org/W2543013670","https://openalex.org/W2620297916","https://openalex.org/W2750168807","https://openalex.org/W2751986688","https://openalex.org/W2772203151","https://openalex.org/W2776178226","https://openalex.org/W2787586429","https://openalex.org/W2802313126","https://openalex.org/W2810851185","https://openalex.org/W2921469381","https://openalex.org/W2963322354","https://openalex.org/W3151975480","https://openalex.org/W4236829355","https://openalex.org/W4245563674"],"related_works":["https://openalex.org/W2497512603","https://openalex.org/W2071548530","https://openalex.org/W3001645640","https://openalex.org/W2543797074","https://openalex.org/W2568992563","https://openalex.org/W2354835911","https://openalex.org/W2006987799","https://openalex.org/W2081579692","https://openalex.org/W2468414543","https://openalex.org/W3000185773"],"abstract_inverted_index":{"Compressed":[0],"sensing":[1,59],"(CS)":[2],"provides":[3],"a":[4,48,84],"method":[5,54],"to":[6,29,91],"sample":[7],"and":[8,25,34,40,67,97],"reconstruct":[9,92],"sparse":[10],"signals":[11],"far":[12],"below":[13],"the":[14,32,41,62,73,80,93,102,109],"Nyquist":[15],"sampling":[16],"rate,":[17],"which":[18],"has":[19],"great":[20],"potential":[21],"in":[22,123],"image/video":[23],"acquisition":[24],"processing.":[26],"In":[27],"order":[28],"fully":[30],"exploit":[31],"spatial":[33],"temporal":[35],"characteristics":[36],"of":[37,79,104],"video":[38,58,118],"frame":[39],"coherence":[42],"between":[43],"successive":[44],"frames,":[45],"we":[46],"propose":[47],"half-pixel":[49,65],"interpolation":[50,66],"based":[51,86],"residual":[52,88],"reconstruction":[53,89,119],"for":[55,76],"distributed":[56],"compressive":[57],"(DCVS).":[60],"At":[61],"decoding":[63,78],"end,":[64],"bi-directional":[68],"motion":[69],"estimation":[70],"helps":[71],"refine":[72],"side":[74,105],"information":[75,106],"joint":[77],"non-key-frames.":[81,94],"We":[82],"apply":[83],"multi-hypothesis":[85],"on":[87,130],"algorithms":[90],"Performance":[95],"analysis":[96],"simulation":[98],"experiments":[99],"show":[100],"that":[101],"quality":[103,120],"generated":[107],"by":[108,114],"proposed":[110],"algorithm":[111],"is":[112],"increased":[113,121],"about":[115],"1.5dB,":[116],"with":[117,127],"0.3~2dB":[122],"PSNR,":[124],"when":[125],"compared":[126],"prior":[128],"works":[129],"DCVS.":[131]},"counts_by_year":[],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}