{"id":"https://openalex.org/W1530352158","doi":"https://doi.org/10.1155/2015/562840","title":"Compressive-Sensing-Based Video Codec by Autoregressive Prediction and Adaptive Residual Recovery","display_name":"Compressive-Sensing-Based Video Codec by Autoregressive Prediction and Adaptive Residual Recovery","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1530352158","doi":"https://doi.org/10.1155/2015/562840","mag":"1530352158"},"language":"en","primary_location":{"id":"doi:10.1155/2015/562840","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2015/562840","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1155/2015/562840","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.sagepub.com/doi/pdf/10.1155/2015/562840","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100428059","display_name":"Ran Li","orcid":"https://orcid.org/0000-0001-7475-759X"},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ran Li","raw_affiliation_strings":["School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100599492","display_name":"Hongbing Liu","orcid":"https://orcid.org/0000-0002-4839-6054"},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbing Liu","raw_affiliation_strings":["School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China"],"raw_orcid":"https://orcid.org/0000-0002-4839-6054","affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085284295","display_name":"Rui Xue","orcid":"https://orcid.org/0000-0002-9188-175X"},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Xue","raw_affiliation_strings":["School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100363311","display_name":"Yanling Li","orcid":"https://orcid.org/0000-0002-5766-898X"},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanling Li","raw_affiliation_strings":["School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China","institution_ids":["https://openalex.org/I130750295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100428059"],"corresponding_institution_ids":["https://openalex.org/I130750295"],"apc_list":{"value":2200,"currency":"USD","value_usd":2200},"apc_paid":{"value":2200,"currency":"USD","value_usd":2200},"fwci":0.6464,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.67673731,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"11","issue":"8","first_page":"562840","last_page":"562840"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9991999864578247,"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":0.9986000061035156,"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":0.863852858543396},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.8468172550201416},{"id":"https://openalex.org/keywords/intra-frame","display_name":"Intra-frame","score":0.7725318074226379},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7178542613983154},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.598921000957489},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5004258155822754},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49103403091430664},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.471832811832428},{"id":"https://openalex.org/keywords/residual-frame","display_name":"Residual frame","score":0.45246055722236633},{"id":"https://openalex.org/keywords/deblocking-filter","display_name":"Deblocking filter","score":0.4504639804363251},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4476562440395355},{"id":"https://openalex.org/keywords/bitstream","display_name":"Bitstream","score":0.44284379482269287},{"id":"https://openalex.org/keywords/adaptive-multi-rate-audio-codec","display_name":"Adaptive Multi-Rate audio codec","score":0.4409901797771454},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.43944427371025085},{"id":"https://openalex.org/keywords/rate\u2013distortion-optimization","display_name":"Rate\u2013distortion optimization","score":0.4274154007434845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4006456136703491},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39092832803726196},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.3192979693412781},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.29921460151672363},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.2878059148788452},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.28361570835113525},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.2605134844779968},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.23757976293563843},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.14764147996902466},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12151005864143372},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.11055374145507812},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08697867393493652}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.863852858543396},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.8468172550201416},{"id":"https://openalex.org/C125864890","wikidata":"https://www.wikidata.org/wiki/Q1262687","display_name":"Intra-frame","level":3,"score":0.7725318074226379},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7178542613983154},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.598921000957489},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5004258155822754},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49103403091430664},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.471832811832428},{"id":"https://openalex.org/C204641915","wikidata":"https://www.wikidata.org/wiki/Q7315509","display_name":"Residual frame","level":4,"score":0.45246055722236633},{"id":"https://openalex.org/C143184774","wikidata":"https://www.wikidata.org/wiki/Q3020846","display_name":"Deblocking filter","level":2,"score":0.4504639804363251},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4476562440395355},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.44284379482269287},{"id":"https://openalex.org/C177067256","wikidata":"https://www.wikidata.org/wiki/Q4676210","display_name":"Adaptive Multi-Rate audio codec","level":4,"score":0.4409901797771454},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.43944427371025085},{"id":"https://openalex.org/C50056821","wikidata":"https://www.wikidata.org/wiki/Q774502","display_name":"Rate\u2013distortion optimization","level":5,"score":0.4274154007434845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4006456136703491},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39092832803726196},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.3192979693412781},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.29921460151672363},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.2878059148788452},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.28361570835113525},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2605134844779968},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.23757976293563843},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.14764147996902466},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12151005864143372},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.11055374145507812},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08697867393493652},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2015/562840","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2015/562840","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1155/2015/562840","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:sae:intdis:v:11:y:2015:i:8:p:562840","is_oa":false,"landing_page_url":"https://journals.sagepub.com/doi/10.1155/2015/562840","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:879e9f2a6beb4abcb67f52e39dab7cf6","is_oa":true,"landing_page_url":"https://doaj.org/article/879e9f2a6beb4abcb67f52e39dab7cf6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Distributed Sensor Networks, Vol 11 (2015)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2015/562840","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2015/562840","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1155/2015/562840","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1130848675","display_name":null,"funder_award_id":"15A520026","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2224244798","display_name":null,"funder_award_id":"61501393","funder_id":"https://openalex.org/F4320327564","funder_display_name":"Xinyang Normal University"},{"id":"https://openalex.org/G309909936","display_name":"\u65e0\u7ebf\u591a\u5a92\u4f53\u4f20\u611f\u5668\u7f51\u7edc\u4f4e\u590d\u6742\u5ea6\u89c6\u9891\u7f16\u7801\u53ca\u9ad8\u5bb9\u9519\u4f20\u8f93\u6280\u672f\u7814\u7a76","funder_award_id":"61471162","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4258492485","display_name":null,"funder_award_id":"61202194","funder_id":"https://openalex.org/F4320327564","funder_display_name":"Xinyang Normal University"},{"id":"https://openalex.org/G4699713238","display_name":null,"funder_award_id":"61202194","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5093568883","display_name":null,"funder_award_id":"15A520026","funder_id":"https://openalex.org/F4320327564","funder_display_name":"Xinyang Normal University"},{"id":"https://openalex.org/G5449179582","display_name":null,"funder_award_id":"61471162","funder_id":"https://openalex.org/F4320327564","funder_display_name":"Xinyang Normal University"},{"id":"https://openalex.org/G6771553598","display_name":null,"funder_award_id":"61501393","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6990488224","display_name":null,"funder_award_id":"2015-QN-043","funder_id":"https://openalex.org/F4320327564","funder_display_name":"Xinyang Normal University"},{"id":"https://openalex.org/G781543720","display_name":null,"funder_award_id":"2015-QN-043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327564","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W1530352158.pdf"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W81999829","https://openalex.org/W1591116419","https://openalex.org/W1597087866","https://openalex.org/W1667165204","https://openalex.org/W1848264314","https://openalex.org/W1874865363","https://openalex.org/W1969351895","https://openalex.org/W1983288926","https://openalex.org/W1986701690","https://openalex.org/W2005528754","https://openalex.org/W2013452464","https://openalex.org/W2029816571","https://openalex.org/W2036648611","https://openalex.org/W2047942031","https://openalex.org/W2067743803","https://openalex.org/W2073437729","https://openalex.org/W2083020047","https://openalex.org/W2090270274","https://openalex.org/W2096854583","https://openalex.org/W2098914003","https://openalex.org/W2104266187","https://openalex.org/W2104486287","https://openalex.org/W2109449402","https://openalex.org/W2111048499","https://openalex.org/W2118375162","https://openalex.org/W2127274131","https://openalex.org/W2128728535","https://openalex.org/W2129638195","https://openalex.org/W2129812098","https://openalex.org/W2132073046","https://openalex.org/W2133665775","https://openalex.org/W2137467839","https://openalex.org/W2145096794","https://openalex.org/W2146395539","https://openalex.org/W2146842127","https://openalex.org/W2152149718","https://openalex.org/W2152462980","https://openalex.org/W2154576090","https://openalex.org/W2157784146","https://openalex.org/W2159563318","https://openalex.org/W2170100900","https://openalex.org/W2171783193","https://openalex.org/W2296616510","https://openalex.org/W2523169138","https://openalex.org/W2543013670","https://openalex.org/W2979473749","https://openalex.org/W3142290276","https://openalex.org/W4235713725","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2149600693","https://openalex.org/W2157819213","https://openalex.org/W2949131019","https://openalex.org/W2142049868","https://openalex.org/W2164932886","https://openalex.org/W2159899134","https://openalex.org/W2007882650","https://openalex.org/W2603582838","https://openalex.org/W3150020851","https://openalex.org/W2188363534"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,58,71,196],"compressive-sensing-":[4],"(CS-)":[5],"based":[6],"video":[7,14,29,84,103,190,203],"codec":[8,158,183],"which":[9],"is":[10,31,61,76,135,184,194],"suitable":[11],"for":[12],"wireless":[13],"system":[15],"requiring":[16],"simple":[17],"encoders":[18],"but":[19],"tolerant,":[20],"more":[21],"complex":[22],"decoders.":[23],"At":[24,67],"the":[25,39,53,64,68,80,87,91,98,109,112,116,121,130,140,151,156,170,174,181,187],"encoder":[26],"side,":[27,70],"each":[28],"frame":[30,114],"independently":[32],"measured":[33],"by":[34,47],"block-based":[35],"random":[36],"matrix,":[37],"and":[38,105,115,173,201],"resulting":[40],"measurements":[41],"are":[42],"encoded":[43],"into":[44,63],"compressed":[45],"bitstream":[46],"entropy":[48],"coding.":[49],"Specifically,":[50],"to":[51,78,96,137,144,186],"reduce":[52],"quantization":[54,60],"errors":[55],"of":[56,82,102,124,169,180],"measurements,":[57],"nonuniform":[59],"integrated":[62],"DPCM-based":[65],"quantizer.":[66],"decoder":[69],"novel":[72],"joint":[73,152],"reconstruction":[74,153],"algorithm":[75,89,154],"proposed":[77,88,157,182],"improve":[79],"quality":[81,172],"reconstructed":[83,171],"frames.":[85],"Firstly,":[86],"uses":[90],"temporal":[92],"autoregressive":[93],"(AR)":[94],"model":[95],"generate":[97],"Side":[99],"Information":[100],"(SI)":[101],"frame,":[104],"next":[106],"it":[107,200],"recovers":[108],"residual":[110,125,145],"between":[111,199],"original":[113],"corresponding":[117],"SI.":[118],"To":[119],"exploit":[120],"sparse":[122],"property":[123],"with":[126,167],"locally":[127],"varying":[128],"statistics,":[129],"Principle":[131],"Component":[132],"Analysis":[133],"(PCA)":[134],"used":[136],"learn":[138],"online":[139],"transform":[141],"matrix":[142],"adapting":[143],"structures.":[146],"Extensive":[147],"experiments":[148],"validate":[149],"that":[150],"in":[155],"achieves":[159],"much":[160],"better":[161],"results":[162],"than":[163],"many":[164],"existing":[165],"methods":[166],"consideration":[168],"computational":[175],"complexity.":[176],"The":[177],"rate-distortion":[178],"performance":[179],"superior":[185],"state-of-the-art":[188],"CS-based":[189],"codec,":[191],"although":[192],"there":[193],"still":[195],"considerable":[197],"gap":[198],"traditional":[202],"codec.":[204]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-18T08:10:14.011955","created_date":"2025-10-10T00:00:00"}