{"id":"https://openalex.org/W2015900682","doi":"https://doi.org/10.1117/12.2030625","title":"Reconstruction of bidirectional predicted residual for stereoscopic video based on compressed sensing","display_name":"Reconstruction of bidirectional predicted residual for stereoscopic video based on compressed sensing","publication_year":2013,"publication_date":"2013-07-19","ids":{"openalex":"https://openalex.org/W2015900682","doi":"https://doi.org/10.1117/12.2030625","mag":"2015900682"},"language":"en","primary_location":{"id":"doi:10.1117/12.2030625","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2030625","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":"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/A5090351406","display_name":"Jueqiong Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210136497","display_name":"Jilin Medical University","ror":"https://ror.org/03mzw7781","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136497"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jueqiong Yu","raw_affiliation_strings":["Jilin Univ. (China)","Jilin University (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jilin Univ. (China)","institution_ids":["https://openalex.org/I4210136497","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Jilin University (China)","institution_ids":["https://openalex.org/I4210136497","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101855294","display_name":"Shigang Wang","orcid":"https://orcid.org/0000-0002-3598-9352"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210136497","display_name":"Jilin Medical University","ror":"https://ror.org/03mzw7781","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136497"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shigang Wang","raw_affiliation_strings":["Jilin Univ. (China)","Jilin University (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jilin Univ. (China)","institution_ids":["https://openalex.org/I4210136497","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Jilin University (China)","institution_ids":["https://openalex.org/I4210136497","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010718824","display_name":"Yuanzhi L\u00fc","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210136497","display_name":"Jilin Medical University","ror":"https://ror.org/03mzw7781","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136497"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanzhi Lu","raw_affiliation_strings":["Jilin Univ. (China)","Jilin University (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jilin Univ. (China)","institution_ids":["https://openalex.org/I4210136497","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Jilin University (China)","institution_ids":["https://openalex.org/I4210136497","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063987557","display_name":"Xiaojun Zhang","orcid":"https://orcid.org/0000-0001-8044-897X"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210136497","display_name":"Jilin Medical University","ror":"https://ror.org/03mzw7781","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136497"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Zhang","raw_affiliation_strings":["Jilin Univ. (China)","Jilin University (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jilin Univ. (China)","institution_ids":["https://openalex.org/I4210136497","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Jilin University (China)","institution_ids":["https://openalex.org/I4210136497","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101490391","display_name":"Xiaojie Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210136497","display_name":"Jilin Medical University","ror":"https://ror.org/03mzw7781","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136497"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Lu","raw_affiliation_strings":["Jilin Univ. (China)","Jilin University (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jilin Univ. (China)","institution_ids":["https://openalex.org/I4210136497","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Jilin University (China)","institution_ids":["https://openalex.org/I4210136497","https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":0.0869075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8878","issue":null,"first_page":"88783I","last_page":"88783I"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7416113018989563},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6924106478691101},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.5983424186706543},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5698512196540833},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5450295805931091},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5183833241462708},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.35234498977661133},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1049027144908905}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7416113018989563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6924106478691101},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.5983424186706543},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5698512196540833},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5450295805931091},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5183833241462708},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.35234498977661133},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1049027144908905}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2030625","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2030625","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":9,"referenced_works":["https://openalex.org/W2059619892","https://openalex.org/W2120991191","https://openalex.org/W2127271355","https://openalex.org/W2142803455","https://openalex.org/W2145096794","https://openalex.org/W2154304330","https://openalex.org/W2159293115","https://openalex.org/W2296616510","https://openalex.org/W2542658837"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W1536158975","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2393788985","https://openalex.org/W2157670837","https://openalex.org/W4298363246","https://openalex.org/W1979497213"],"abstract_inverted_index":{"As":[0,14,74],"an":[1],"effective":[2],"method":[3,117,154],"applied":[4],"in":[5,17,45,78],"video":[6,120,132],"processing,":[7],"compressed":[8,63,112,143],"sensing(CS)[1]":[9],"has":[10,35],"gained":[11],"wide":[12],"interests.":[13],"we":[15,21,75,87],"known,":[16],"traditional":[18,99],"methods,":[19],"if":[20],"want":[22],"to":[23,36,104],"recover":[24,89],"a":[25,115],"signal":[26],"accurately":[27],"from":[28,92],"the":[29,32,41,46,51,56,60,70,79,129,152,156,161,164],"samples,":[30],"then":[31],"sampling":[33,53,57,72,157],"rate":[34,58],"be":[37,66],"at":[38],"least":[39],"twice":[40],"maximum":[42],"frequency":[43],"present":[44],"signal,":[47],"which":[48],"known":[49],"as":[50,103],"Nyquist":[52,71],"rate.":[54,73],"However,":[55],"under":[59],"framework":[61],"of":[62,81,163],"sensing":[64],"can":[65,88],"much":[67],"lower":[68],"than":[69,98],"will":[76],"see":[77],"remainder":[80],"this":[82],"paper,":[83],"CS":[84],"asserts":[85],"that":[86],"certain":[90],"signals":[91],"far":[93],"few":[94],"samples":[95],"or":[96],"measurements":[97],"ways":[100],"use.":[101],"So":[102],"save":[105],"costs":[106],"and":[107,134,139,159],"improve":[108],"efficiency,":[109],"based":[110,141],"on":[111,142],"sensing\uff0cwe":[113],"propose":[114],"reconstruction":[116],"for":[118],"stereoscopic":[119,131,166],"codec.":[121],"In":[122],"our":[123],"method,":[124],"sparse":[125],"residuals":[126],"obtained":[127],"by":[128],"block-based":[130],"processing":[133],"bidirectional":[135],"prediction,":[136],"are":[137],"coded":[138],"reconstructed":[140,165],"sensing.":[144],"Compared":[145],"with":[146],"other":[147],"methods":[148],"through":[149],"simulation":[150],"experiments,":[151],"proposed":[153],"reduces":[155],"rate,":[158],"improves":[160],"quality":[162],"videos.":[167]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}