{"id":"https://openalex.org/W2917598233","doi":"https://doi.org/10.1109/access.2019.2900498","title":"Multiple Description Coding Based on Convolutional Auto-Encoder","display_name":"Multiple Description Coding Based on Convolutional Auto-Encoder","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2917598233","doi":"https://doi.org/10.1109/access.2019.2900498","mag":"2917598233"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2900498","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2900498","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08648385.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08648385.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100426996","display_name":"Hongfei Li","orcid":"https://orcid.org/0000-0001-8289-0817"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfei Li","raw_affiliation_strings":["Institute of Data Science and Technology, Shandong Normal University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Data Science and Technology, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019708746","display_name":"Lili Meng","orcid":"https://orcid.org/0000-0003-3882-3582"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Meng","raw_affiliation_strings":["Institute of Data Science and Technology, Shandong Normal University, Jinan 250014, China","School of Information Science and Engineering, Shandong Normal University, Jinan 250014, China","Institute of Data Science and Technology, Shandong Normal University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-3882-3582","affiliations":[{"raw_affiliation_string":"Institute of Data Science and Technology, Shandong Normal University, Jinan 250014, China","institution_ids":["https://openalex.org/I28006308"]},{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan 250014, China","institution_ids":["https://openalex.org/I28006308"]},{"raw_affiliation_string":"Institute of Data Science and Technology, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000535032","display_name":"Jia Zhang","orcid":"https://orcid.org/0000-0002-7982-8892"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Zhang","raw_affiliation_strings":["Institute of Data Science and Technology, Shandong Normal University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Data Science and Technology, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046523518","display_name":"Yanyan Tan","orcid":"https://orcid.org/0000-0001-5056-6019"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Tan","raw_affiliation_strings":["Institute of Data Science and Technology, Shandong Normal University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-5056-6019","affiliations":[{"raw_affiliation_string":"Institute of Data Science and Technology, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026158853","display_name":"Yuwei Ren","orcid":"https://orcid.org/0000-0003-3458-9485"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwei Ren","raw_affiliation_strings":["Institute of Data Science and Technology, Shandong Normal University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Data Science and Technology, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113755120","display_name":"Huaxiang Zhang","orcid":"https://orcid.org/0000-0001-6259-7533"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaxiang Zhang","raw_affiliation_strings":["Institute of Data Science and Technology, Shandong Normal University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-6259-7533","affiliations":[{"raw_affiliation_string":"Institute of Data Science and Technology, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I28006308"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3719,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.81589925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"26013","last_page":"26021"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.996399998664856,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.996399998664856,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9933000206947327,"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":0.9922000169754028,"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":0.8389865159988403},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7658475637435913},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7653363943099976},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.6708552837371826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6078977584838867},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5686850547790527},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5185126066207886},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4695513844490051},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.41349104046821594},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3822362720966339},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2965536117553711},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28612250089645386},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2799134850502014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06491756439208984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8389865159988403},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7658475637435913},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7653363943099976},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.6708552837371826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6078977584838867},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5686850547790527},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5185126066207886},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4695513844490051},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.41349104046821594},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3822362720966339},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2965536117553711},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28612250089645386},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2799134850502014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06491756439208984},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2900498","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2900498","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08648385.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:86323ddc80a647969ed4a7501777bb57","is_oa":true,"landing_page_url":"https://doaj.org/article/86323ddc80a647969ed4a7501777bb57","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":"IEEE Access, Vol 7, Pp 26013-26021 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2900498","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2900498","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08648385.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1087056384","display_name":null,"funder_award_id":"61601268","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1763743730","display_name":null,"funder_award_id":"U1836216","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2318068913","display_name":null,"funder_award_id":"61572298","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4737875292","display_name":null,"funder_award_id":"61602285","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6945103131","display_name":null,"funder_award_id":"61702310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7028325425","display_name":null,"funder_award_id":"61601269","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2917598233.pdf","grobid_xml":"https://content.openalex.org/works/W2917598233.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W1906770428","https://openalex.org/W1975731196","https://openalex.org/W1978280057","https://openalex.org/W2008399481","https://openalex.org/W2030265202","https://openalex.org/W2033608874","https://openalex.org/W2056370875","https://openalex.org/W2080949617","https://openalex.org/W2096102601","https://openalex.org/W2100224231","https://openalex.org/W2103904364","https://openalex.org/W2106263461","https://openalex.org/W2112977652","https://openalex.org/W2135065661","https://openalex.org/W2136098605","https://openalex.org/W2140196014","https://openalex.org/W2148037789","https://openalex.org/W2155055615","https://openalex.org/W2159527094","https://openalex.org/W2242218935","https://openalex.org/W2271840356","https://openalex.org/W2276024283","https://openalex.org/W2288002998","https://openalex.org/W2476548250","https://openalex.org/W2508457857","https://openalex.org/W2552465432","https://openalex.org/W2572268734","https://openalex.org/W2740336064","https://openalex.org/W2784572574","https://openalex.org/W2791708013","https://openalex.org/W2798309714","https://openalex.org/W2810785187","https://openalex.org/W2949117887","https://openalex.org/W2950237263","https://openalex.org/W2962676454","https://openalex.org/W2962949190","https://openalex.org/W2963149687","https://openalex.org/W2963449488","https://openalex.org/W2963510064","https://openalex.org/W2963633319","https://openalex.org/W2964121744","https://openalex.org/W3105540235","https://openalex.org/W4289776369","https://openalex.org/W4294567867","https://openalex.org/W4297659253","https://openalex.org/W6726139862","https://openalex.org/W6731590033","https://openalex.org/W6738494155","https://openalex.org/W6766419794","https://openalex.org/W6785821011"],"related_works":["https://openalex.org/W2610189143","https://openalex.org/W2159424856","https://openalex.org/W4390516098","https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W2132373020","https://openalex.org/W2096049278","https://openalex.org/W39762558","https://openalex.org/W2163885456","https://openalex.org/W4242191701"],"abstract_inverted_index":{"Deep":[0],"learning,":[1],"such":[2],"as":[3],"convolutional":[4,37,52,110],"neural":[5],"networks,":[6],"has":[7,22],"been":[8],"achieved":[9,23],"great":[10],"success":[11],"in":[12],"image":[13,19,43,47],"processing,":[14],"computer":[15],"vision":[16],"task,":[17],"and":[18,21,54,71,91,103],"compression,":[20],"better":[24],"performance.":[25],"This":[26],"paper":[27],"designs":[28],"a":[29],"multiple":[30,68],"description":[31,69],"coding":[32,70],"frameworks":[33],"based":[34],"on":[35],"symmetric":[36],"auto-encoder,":[38,53],"which":[39],"can":[40,82],"achieve":[41],"high-quality":[42],"reconstruction.":[44],"First,":[45],"the":[46,51,55,61,67,79,84,88,92,96,100,104,117,121],"is":[48],"input":[49],"into":[50,73],"extracted":[56,62],"features":[57,63],"are":[58,64,107],"obtained.":[59],"Then,":[60],"encoded":[65],"by":[66,87,95,109],"split":[72],"two":[74],"descriptions":[75],"for":[76],"transmission":[77],"to":[78],"decoder.":[80,98],"We":[81],"get":[83],"side":[85,89,101],"information":[86,94,102,106],"decoder":[90],"central":[93,97,105],"Finally,":[99],"deconvolved":[108],"auto-encoder.":[111],"The":[112],"experimental":[113],"results":[114],"validate":[115],"that":[116],"proposed":[118],"scheme":[119],"outperforms":[120],"state-of-the-art":[122],"methods.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":8}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}