{"id":"https://openalex.org/W2016315518","doi":"https://doi.org/10.1109/apsipa.2013.6694139","title":"A power-efficient cloud-based compressive sensing video communication system","display_name":"A power-efficient cloud-based compressive sensing video communication system","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2016315518","doi":"https://doi.org/10.1109/apsipa.2013.6694139","mag":"2016315518"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2013.6694139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2013.6694139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference","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/A5056973353","display_name":"Mengsi Wang","orcid":"https://orcid.org/0000-0003-2707-8652"},"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":"Mengsi Wang","raw_affiliation_strings":["State Key Lab. of ISN, Xidian University, Xi'an, China","State Key Lab. of ISN, Xidian Univ., Xian, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab. of ISN, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Lab. of ISN, Xidian Univ., Xian, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010255725","display_name":"Song Xiao","orcid":"https://orcid.org/0000-0001-8988-4233"},"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":"Song Xiao","raw_affiliation_strings":["State Key Lab. of ISN, Xidian University, Xi'an, China","State Key Lab. of ISN, Xidian Univ., Xian, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab. of ISN, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Lab. of ISN, Xidian Univ., Xian, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049588903","display_name":"Quan Lei","orcid":"https://orcid.org/0000-0001-8277-9473"},"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":"Lei Quan","raw_affiliation_strings":["State Key Lab. of ISN, Xidian University, Xi'an, China","State Key Lab. of ISN, Xidian Univ., Xian, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab. of ISN, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Lab. of ISN, Xidian Univ., Xian, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076508464","display_name":"Qunwei Li","orcid":"https://orcid.org/0000-0001-8211-8122"},"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":"Qunwei Li","raw_affiliation_strings":["State Key Lab. of ISN, Xidian University, Xi'an, China","State Key Lab. of ISN, Xidian Univ., Xian, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab. of ISN, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Lab. of ISN, Xidian Univ., Xian, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056973353"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08616676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9987999796867371,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9952999949455261,"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/computer-science","display_name":"Computer science","score":0.827391505241394},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6929413676261902},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6584267020225525},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5880731344223022},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5099436044692993},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4819905161857605},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.48178574442863464},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.47966837882995605},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4634523093700409},{"id":"https://openalex.org/keywords/inter-frame","display_name":"Inter frame","score":0.4514141380786896},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4191872179508209},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.33186131715774536},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.32299190759658813},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1379602551460266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12538263201713562},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.10783711075782776},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08004209399223328}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.827391505241394},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6929413676261902},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6584267020225525},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5880731344223022},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5099436044692993},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4819905161857605},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.48178574442863464},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.47966837882995605},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4634523093700409},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.4514141380786896},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4191872179508209},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.33186131715774536},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.32299190759658813},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1379602551460266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12538263201713562},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.10783711075782776},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08004209399223328},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2013.6694139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2013.6694139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1502593327","https://openalex.org/W2012423440","https://openalex.org/W2053976946","https://openalex.org/W2097751785","https://openalex.org/W2103365331","https://openalex.org/W2121840029","https://openalex.org/W2129812098","https://openalex.org/W2133665775","https://openalex.org/W2145096794","https://openalex.org/W2296616510","https://openalex.org/W4250955649","https://openalex.org/W6629927927","https://openalex.org/W6679164396"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W1950940422","https://openalex.org/W2129146436","https://openalex.org/W2032507829","https://openalex.org/W1565553413"],"abstract_inverted_index":{"Mobile":[0],"devices":[1,40,50],"performing":[2],"video":[3,26,57,72,137],"coding":[4],"and":[5,74,102],"streaming":[6],"over":[7],"wireless":[8,89],"communication":[9,27],"networks":[10],"are":[11],"limited":[12],"in":[13,88],"energy":[14,120],"supply.":[15],"In":[16],"this":[17],"paper,":[18],"a":[19,55,76],"power-efficient":[20],"fast":[21],"cloud-based":[22],"Compressive":[23],"Sensing":[24],"(CS)":[25],"system":[28,125],"framework":[29],"is":[30,64,81,94],"proposed,":[31],"which":[32,96],"shifts":[33],"the":[34,44,48,69,85,106,119,123,131,134,140,151],"heavy":[35],"computational":[36],"burden":[37],"from":[38,112],"mobile":[39,49],"to":[41,66,83,104],"cloud":[42,92],"thus":[43],"operational":[45],"lifetime":[46],"of":[47,71,100,108,122,133,150],"can":[51,126],"be":[52,127],"prolonged.":[53],"Firstly,":[54],"CS-based":[56],"encoder":[58],"with":[59,155],"partial-bidirectional":[60],"motion":[61],"interframe":[62],"prediction":[63],"proposed":[65,82,124,141],"greatly":[67],"reduce":[68],"complexity":[70,110],"encoding,":[73],"then":[75],"BER-based":[77],"adaptive":[78],"CSEC":[79],"scheme":[80,142],"combat":[84],"data":[86],"loss":[87],"networks.":[90],"Meanwhile,":[91],"platform":[93],"employed,":[95],"has":[97],"strong":[98],"ability":[99],"computation":[101],"processing":[103],"solve":[105],"problem":[107],"high":[109],"resulted":[111],"CS":[113],"reconstruction.":[114],"Simulation":[115],"results":[116],"show":[117],"that":[118],"consumption":[121,149],"substantially":[128],"reduced.":[129],"Under":[130],"condition":[132],"same":[135],"reconstructed":[136],"quality":[138],"(SSIM=0.9),":[139],"only":[143],"takes":[144],"about":[145],"15%":[146],"percent":[147],"power":[148],"state-of-the-art":[152],"H.264":[153],"encoding":[154],"conventional":[156],"FEC-based":[157],"transmitting":[158],"scheme.":[159]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
