{"id":"https://openalex.org/W2157909701","doi":"https://doi.org/10.3390/e16126590","title":"Depth Image Coding Using Entropy-Based Adaptive Measurement Allocation","display_name":"Depth Image Coding Using Entropy-Based Adaptive Measurement Allocation","publication_year":2014,"publication_date":"2014-12-17","ids":{"openalex":"https://openalex.org/W2157909701","doi":"https://doi.org/10.3390/e16126590","mag":"2157909701"},"language":"en","primary_location":{"id":"doi:10.3390/e16126590","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e16126590","pdf_url":"https://www.mdpi.com/1099-4300/16/12/6590/pdf?version=1424785909","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/16/12/6590/pdf?version=1424785909","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030238978","display_name":"Huihui Bai","orcid":"https://orcid.org/0000-0002-3879-8957"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huihui Bai","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442185","display_name":"Mengmeng Zhang","orcid":"https://orcid.org/0000-0002-2016-741X"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengmeng Zhang","raw_affiliation_strings":["College of Information Engineering, North China University of Technology, Beijing 100144, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, North China University of Technology, Beijing 100144, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101628778","display_name":"Meiqin Liu","orcid":"https://orcid.org/0000-0001-8428-5098"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiqin Liu","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003248833","display_name":"Anhong Wang","orcid":"https://orcid.org/0000-0001-5413-0490"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anhong Wang","raw_affiliation_strings":["Electronic Information and Engineering College, Taiyuan University of Science and Technology, Taiyuan 030024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Information and Engineering College, Taiyuan University of Science and Technology, Taiyuan 030024, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362745","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0002-8581-9554"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030238978"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.12659035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"16","issue":"12","first_page":"6590","last_page":"6601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9991000294685364,"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/compressed-sensing","display_name":"Compressed sensing","score":0.6991904377937317},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6192529797554016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5482490658760071},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5303125381469727},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5273029804229736},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5207107663154602},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.49075374007225037},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4222480058670044},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3904981017112732},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3351680636405945},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30134037137031555}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6991904377937317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6192529797554016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5482490658760071},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5303125381469727},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5273029804229736},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5207107663154602},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.49075374007225037},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4222480058670044},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3904981017112732},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3351680636405945},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30134037137031555},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/e16126590","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e16126590","pdf_url":"https://www.mdpi.com/1099-4300/16/12/6590/pdf?version=1424785909","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:97ebd497261d4566bcec7a21fcf4d2b2","is_oa":true,"landing_page_url":"https://doaj.org/article/97ebd497261d4566bcec7a21fcf4d2b2","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":"Entropy, Vol 16, Iss 12, Pp 6590-6601 (2014)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/16/12/6590/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/e16126590","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e16126590","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e16126590","pdf_url":"https://www.mdpi.com/1099-4300/16/12/6590/pdf?version=1424785909","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2157909701.pdf"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1965777286","https://openalex.org/W1988585997","https://openalex.org/W1990289923","https://openalex.org/W1995875735","https://openalex.org/W2000818808","https://openalex.org/W2038597216","https://openalex.org/W2117041769","https://openalex.org/W2117406088","https://openalex.org/W2118189189","https://openalex.org/W2119667497","https://openalex.org/W2122296704","https://openalex.org/W2129812098","https://openalex.org/W2142536989","https://openalex.org/W2164452299","https://openalex.org/W4237041515"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2012905040","https://openalex.org/W2503689422"],"abstract_inverted_index":{"Differently":[0],"from":[1],"traditional":[2],"two-dimensional":[3],"texture":[4],"images,":[5,64],"the":[6,19,55,60,65,76,84,88,91,105,107,115,125,129,142,148],"depth":[7,32,41,63,79],"images":[8],"of":[9,59,62,67,78,141],"three-dimensional":[10],"(3D)":[11],"video":[12],"systems":[13],"have":[14,121],"significant":[15],"sparse":[16,108],"characteristics":[17,61],"under":[18],"certain":[20],"transform":[21,109],"basis,":[22],"which":[23],"make":[24],"it":[25],"possible":[26],"for":[27,100],"compressive":[28,51,116],"sensing":[29,52,117],"to":[30,74,83,97,113],"represent":[31,75],"information":[33],"efficiently.":[34],"Therefore,":[35],"in":[36,57,69,87],"this":[37],"paper,":[38],"a":[39,49,151],"novel":[40],"image":[42],"coding":[43],"scheme":[44,131],"is":[45,72],"proposed":[46,130],"based":[47],"on":[48],"block":[50,71,99],"method.":[53],"At":[54,104],"encoder,":[56],"view":[58],"entropy":[66],"pixels":[68],"each":[70,98],"employed":[73],"sparsity":[77,86],"signals.":[80],"Then":[81],"according":[82],"different":[85],"pixel":[89],"domain,":[90],"measurements":[92],"can":[93,110,132],"be":[94,111],"adaptively":[95],"allocated":[96],"higher":[101,134],"compression":[102],"efficiency.":[103],"decoder,":[106],"combined":[112],"achieve":[114],"reconstruction.":[118],"Experimental":[119],"results":[120],"shown":[122],"that":[123],"at":[124],"same":[126],"sampling":[127,153],"rate,":[128],"obtain":[133],"PSNR":[135],"values":[136],"and":[137],"better":[138],"subjective":[139],"quality":[140],"rendered":[143],"virtual":[144],"views,":[145],"compared":[146],"with":[147],"method":[149],"using":[150],"uniform":[152],"rate.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
