{"id":"https://openalex.org/W1997262203","doi":"https://doi.org/10.1117/12.2030589","title":"Video compressive sensing with redundant dictionary","display_name":"Video compressive sensing with redundant dictionary","publication_year":2013,"publication_date":"2013-07-19","ids":{"openalex":"https://openalex.org/W1997262203","doi":"https://doi.org/10.1117/12.2030589","mag":"1997262203"},"language":"en","primary_location":{"id":"doi:10.1117/12.2030589","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2030589","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","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/A5015396848","display_name":"Tao Li","orcid":"https://orcid.org/0000-0002-0717-7189"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Li","raw_affiliation_strings":["Beijing Institute of Technology (China)",", Beijing Institute of Technology, , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology (China)","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":", Beijing Institute of Technology, , China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100438586","display_name":"Xiaohua Wang","orcid":"https://orcid.org/0000-0002-6551-151X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Wang","raw_affiliation_strings":["Beijing Institute of Technology (China)",", Beijing Institute of Technology, , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology (China)","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":", Beijing Institute of Technology, , China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08595465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8878","issue":null,"first_page":"88783G","last_page":"88783G"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9976999759674072,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8319966793060303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6797208189964294},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5899376273155212},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5890234708786011},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5676513314247131},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5656117796897888},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.49045369029045105},{"id":"https://openalex.org/keywords/video-compression-picture-types","display_name":"Video compression picture types","score":0.4667769968509674},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.42514413595199585},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.4209345579147339},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.41480278968811035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39614641666412354},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.3464510440826416},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.30838367342948914},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09684866666793823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8319966793060303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6797208189964294},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5899376273155212},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5890234708786011},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5676513314247131},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5656117796897888},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.49045369029045105},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.4667769968509674},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.42514413595199585},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.4209345579147339},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.41480278968811035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39614641666412354},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.3464510440826416},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.30838367342948914},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09684866666793823},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2030589","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2030589","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2509955295","https://openalex.org/W1987225540","https://openalex.org/W2363993830","https://openalex.org/W1778286912","https://openalex.org/W2561456314","https://openalex.org/W2249096836","https://openalex.org/W1992008660","https://openalex.org/W2152958724","https://openalex.org/W2116933539","https://openalex.org/W2595406057"],"abstract_inverted_index":{"Compressive":[0],"sensing":[1],"is":[2,50,71],"an":[3],"innovative":[4],"theory":[5],"which":[6,37],"allows":[7],"us":[8],"to":[9,19,57,73,91,100,122],"sample":[10],"signals":[11],"under":[12],"random":[13],"projection":[14],"domain.":[15],"This":[16],"technique":[17],"seeks":[18],"minimize":[20],"the":[21,39,102,105,110,124,137],"cost":[22],"of":[23,104,109,126],"redundant":[24],"data":[25],"acquisition.":[26],"In":[27,81],"this":[28,82],"paper,":[29],"we":[30],"propose":[31],"a":[32],"new":[33],"video":[34,40,79,93,118,139],"acquisition":[35,119],"system":[36],"samples":[38],"volumes":[41,55],"with":[42,140],"far":[43],"fewer":[44],"measurements":[45,145],"than":[46],"traditional":[47],"camera.":[48],"Video":[49],"divided":[51],"into":[52],"little":[53,78],"time-spatial":[54],"due":[56],"diverse":[58],"scene":[59],"content":[60],"change":[61],"among":[62],"frame":[63],"regions.":[64],"With":[65],"strict":[66],"sparsity":[67],"constraints,":[68],"adaptive":[69],"dictionary":[70],"trained":[72],"obtain":[74],"best":[75],"representation":[76],"for":[77,117],"volumes.":[80],"scheme,":[83],"K-means":[84],"clustering":[85],"and":[86,96,107,114],"KSVD":[87],"learning":[88],"are":[89,98,120],"applied":[90],"selected":[92],"patches.":[94],"Experiments":[95],"simulation":[97],"conducted":[99],"test":[101],"performance":[103],"capability":[106],"adaptivity":[108],"dictionary.":[111],"Also,":[112],"visual":[113],"PSNR":[115],"comparison":[116],"provided":[121],"demonstrate":[123],"power":[125],"our":[127,132],"system.":[128],"We":[129],"show":[130],"that":[131],"approach":[133],"can":[134],"effectively":[135],"reconstruct":[136],"original":[138],"as":[141,143],"few":[142],"5%":[144],"without":[146],"losing":[147],"spatial":[148],"or":[149],"temporal":[150],"resolution.":[151]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}