{"id":"https://openalex.org/W2345295080","doi":"https://doi.org/10.1109/vcip.2015.7457840","title":"Multi-phase joint reconstruction framework for multi-view video compression using block-based compressive sensing","display_name":"Multi-phase joint reconstruction framework for multi-view video compression using block-based compressive sensing","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2345295080","doi":"https://doi.org/10.1109/vcip.2015.7457840","mag":"2345295080"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2015.7457840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2015.7457840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Visual Communications and Image Processing (VCIP)","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/A5040715682","display_name":"Mansoor Ebrahim","orcid":"https://orcid.org/0000-0002-2000-8398"},"institutions":[{"id":"https://openalex.org/I84339108","display_name":"Sunway University","ror":"https://ror.org/04mjt7f73","country_code":"MY","type":"education","lineage":["https://openalex.org/I84339108"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mansoor Ebrahim","raw_affiliation_strings":["Faculty of Science & Technology, Sunway University, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science & Technology, Sunway University, Malaysia","institution_ids":["https://openalex.org/I84339108"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049854293","display_name":"Wai Chong Chai","orcid":null},"institutions":[{"id":"https://openalex.org/I84339108","display_name":"Sunway University","ror":"https://ror.org/04mjt7f73","country_code":"MY","type":"education","lineage":["https://openalex.org/I84339108"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Wai Chong Chai","raw_affiliation_strings":["Faculty of Science & Technology, Sunway University, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science & Technology, Sunway University, Malaysia","institution_ids":["https://openalex.org/I84339108"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I84339108"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.29812332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9991000294685364,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9988999962806702,"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/compressed-sensing","display_name":"Compressed sensing","score":0.8004645109176636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.773611307144165},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.7038562297821045},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.696175217628479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6316370964050293},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6225296854972839},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6116273403167725},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5707823038101196},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4739277958869934},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4501606225967407},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.44518256187438965},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1195976734161377},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08106616139411926},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.06858649849891663}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8004645109176636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.773611307144165},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.7038562297821045},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.696175217628479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6316370964050293},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6225296854972839},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6116273403167725},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5707823038101196},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4739277958869934},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4501606225967407},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.44518256187438965},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1195976734161377},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08106616139411926},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.06858649849891663},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2015.7457840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2015.7457840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1592217569","https://openalex.org/W1923853933","https://openalex.org/W1966832930","https://openalex.org/W1968953999","https://openalex.org/W1999922493","https://openalex.org/W2095527418","https://openalex.org/W2100404464","https://openalex.org/W2129812098","https://openalex.org/W2157784146","https://openalex.org/W2171783193","https://openalex.org/W2296616510","https://openalex.org/W2963322354","https://openalex.org/W4250955649","https://openalex.org/W6640273470","https://openalex.org/W6668902313","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/W3125011624","https://openalex.org/W2358292267","https://openalex.org/W2896778670","https://openalex.org/W2612632602","https://openalex.org/W2321805087"],"abstract_inverted_index":{"The":[0,94,107],"video":[1],"captured":[2],"by":[3,124],"different":[4,28,132],"visual":[5,9],"sensor":[6,10],"in":[7,79],"a":[8,33,125],"network":[11],"is":[12,45,92,96,115],"first":[13],"compressed":[14],"using":[15],"the":[16,22,39,49,76,84,89,100,104,112,119],"block-based":[17],"compressive":[18],"sensing":[19],"algorithm.":[20],"All":[21],"videos":[23,63],"are":[24,64],"encoded":[25],"independently":[26],"at":[27,88,131],"sub-rates":[29],"and":[30],"transmitted":[31],"to":[32,47,66,99,102,117,129],"host":[34],"workstation":[35],"for":[36],"reconstruction.":[37,106],"Then,":[38],"proposed":[40,113],"multi-phase":[41],"joint":[42],"reconstruction":[43,50],"framework":[44,114],"applied":[46],"improve":[48],"of":[51,75,127],"lower":[52,80],"subrate":[53,62,81],"videos.":[54,82,137],"In":[55],"this":[56],"case,":[57],"frames":[58,78],"extracted":[59],"from":[60],"higher":[61],"used":[65],"produce":[67],"some":[68],"side":[69],"information,":[70],"which":[71],"serve":[72],"as":[73],"prediction":[74,101],"counterpart":[77],"Next,":[83],"difference":[85,95],"between":[86],"them":[87],"measurement":[90],"level":[91],"calculated.":[93],"then":[97],"added":[98],"obtain":[103],"final":[105],"experimental":[108],"results":[109],"show":[110],"that":[111],"able":[116],"outperform":[118],"other":[120],"frameworks":[121],"on":[122,134],"average":[123],"margin":[126],"1dB":[128],"2dB":[130],"subrates":[133],"various":[135],"multi-view":[136]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}