{"id":"https://openalex.org/W2945309343","doi":"https://doi.org/10.1109/tvt.2019.2916726","title":"Fast Video Frame Correlation Analysis for Vehicular Networks by Using CVS\u2013CNN","display_name":"Fast Video Frame Correlation Analysis for Vehicular Networks by Using CVS\u2013CNN","publication_year":2019,"publication_date":"2019-05-14","ids":{"openalex":"https://openalex.org/W2945309343","doi":"https://doi.org/10.1109/tvt.2019.2916726","mag":"2945309343"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2019.2916726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2019.2916726","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","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/A5100709310","display_name":"Jie Guo","orcid":"https://orcid.org/0000-0003-4975-0315"},"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":"Jie Guo","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035560190","display_name":"Bin Song","orcid":"https://orcid.org/0000-0002-8096-3370"},"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":"Bin Song","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420016","display_name":"F. Richard Yu","orcid":"https://orcid.org/0000-0003-1006-7594"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fei Richard Yu","raw_affiliation_strings":["Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012222793","display_name":"Yuhao Chi","orcid":"https://orcid.org/0000-0001-9850-0246"},"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":"Yuhao Chi","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060020877","display_name":"Chau Yuen","orcid":"https://orcid.org/0000-0002-9307-2120"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chau Yuen","raw_affiliation_strings":["Singapore University of Technology and Design, Singapore"],"affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100709310"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":3.405,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.93340648,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"68","issue":"7","first_page":"6286","last_page":"6292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9993000030517578,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991999864578247,"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":0.7681047916412354},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6068495512008667},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6056475639343262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5305472016334534},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.49535003304481506},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.45684775710105896},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.4218941926956177},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4161016047000885},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.41035425662994385},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38039520382881165},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35763412714004517},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31021833419799805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11032035946846008},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10824787616729736}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7681047916412354},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6068495512008667},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6056475639343262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5305472016334534},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.49535003304481506},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45684775710105896},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4218941926956177},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4161016047000885},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.41035425662994385},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38039520382881165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35763412714004517},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31021833419799805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11032035946846008},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10824787616729736},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2019.2916726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2019.2916726","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1196434627","display_name":null,"funder_award_id":"61750110529","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1352306208","display_name":null,"funder_award_id":"61772387","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2317329475","display_name":null,"funder_award_id":"2017M620438","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3416553472","display_name":null,"funder_award_id":"JB180101","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4690366034","display_name":null,"funder_award_id":"2019ZDLGY03-03","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G5825489519","display_name":null,"funder_award_id":"61802296","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G71857092","display_name":null,"funder_award_id":"2019JQ-375","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1539551155","https://openalex.org/W1987286789","https://openalex.org/W2009590171","https://openalex.org/W2078204800","https://openalex.org/W2097787789","https://openalex.org/W2107197698","https://openalex.org/W2145251738","https://openalex.org/W2162437983","https://openalex.org/W2324298973","https://openalex.org/W2461228296","https://openalex.org/W2471389393","https://openalex.org/W2594339953","https://openalex.org/W2595310496","https://openalex.org/W2611077843","https://openalex.org/W2618413983","https://openalex.org/W2771832734","https://openalex.org/W2789833771","https://openalex.org/W2794361067","https://openalex.org/W2798574788","https://openalex.org/W2800947535","https://openalex.org/W2807183728","https://openalex.org/W2963947725","https://openalex.org/W2964121744","https://openalex.org/W2964251511","https://openalex.org/W3100826576","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W4312417841","https://openalex.org/W4210874298","https://openalex.org/W2778653980"],"abstract_inverted_index":{"In":[0],"vehicular":[1],"communication":[2],"systems,":[3],"due":[4],"to":[5,32,69,105,120,133],"limited":[6],"computation":[7],"power":[8],"of":[9,74,91,102,110,152],"vehicles,":[10],"low-cost":[11],"sampling":[12],"technologies,":[13],"such":[14,178],"as":[15,66,84,179],"compressed":[16],"video":[17,38,75,155],"sensing":[18],"(CVS),":[19],"have":[20],"been":[21],"proposed.":[22],"However,":[23],"after":[24],"one-time":[25],"coarse":[26],"compressive":[27],"sampling,":[28],"it":[29],"is":[30,64],"difficult":[31],"obtain":[33],"accurate":[34],"temporal":[35,72],"correlation":[36,48,73,98,157],"between":[37,99,124],"frames.":[39],"To":[40],"address":[41],"this":[42,44],"issue,":[43],"paper":[45],"proposes":[46],"a":[47,85],"analysis":[49],"model":[50],"in":[51,77,158,174],"the":[52,71,78,88,92,97,100,103,111,122,125,134,144,154,168],"measurement":[53,79,93],"domain":[54],"by":[55],"combining":[56],"CVS":[57],"and":[58,95,108,127,130,162,182],"convolutional":[59],"neural":[60],"network":[61,116],"(CNN),":[62],"which":[63],"termed":[65],"\u201cCVS-CNN.\u201d":[67],"Specifically,":[68],"analyze":[70],"frames":[76],"domain,":[80],"we":[81],"use":[82],"CNN":[83],"substitute":[86],"for":[87],"pseudo-inverse":[89],"transform":[90],"matrix":[94],"establish":[96],"measurements":[101],"block":[104],"be":[106,172],"estimated":[107],"those":[109],"neighboring":[112],"non-overlapping":[113,135],"blocks.":[114,137],"The":[115,138],"parameters":[117],"are":[118,131],"trained":[119],"minimize":[121],"loss":[123],"predicted":[126],"true":[128],"measurements,":[129],"assigned":[132],"image":[136],"various":[139],"experimental":[140],"results":[141],"demonstrate":[142],"that":[143,167],"proposed":[145,169],"CVS-CNN":[146],"method":[147,170],"significantly":[148],"outperforms":[149],"similar":[150],"methods":[151],"analyzing":[153],"frame":[156],"accuracy,":[159],"process":[160],"speed,":[161],"robustness.":[163],"This":[164],"result":[165],"indicates":[166],"can":[171],"used":[173],"many":[175],"potential":[176],"applications,":[177],"self-driving":[180],"systems":[181],"in-car":[183],"warning":[184],"systems.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
