{"id":"https://openalex.org/W4309400187","doi":"https://doi.org/10.1109/iswcs56560.2022.9940401","title":"Wireless Transmission of Images with the Assistance of Multi-level Semantic Information","display_name":"Wireless Transmission of Images with the Assistance of Multi-level Semantic Information","publication_year":2022,"publication_date":"2022-10-19","ids":{"openalex":"https://openalex.org/W4309400187","doi":"https://doi.org/10.1109/iswcs56560.2022.9940401"},"language":"en","primary_location":{"id":"doi:10.1109/iswcs56560.2022.9940401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iswcs56560.2022.9940401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Symposium on Wireless Communication Systems (ISWCS)","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/A5054871572","display_name":"Zhenguo Zhang","orcid":"https://orcid.org/0000-0002-0059-1766"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenguo Zhang","raw_affiliation_strings":["Zhejiang University,Zhejiang,China","Zhejiang University, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Zhejiang,China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang University, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010220478","display_name":"Qianqian Yang","orcid":"https://orcid.org/0000-0003-4747-9410"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Yang","raw_affiliation_strings":["Zhejiang University,Zhejiang,China","Zhejiang University, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Zhejiang,China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang University, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068195118","display_name":"Shibo He","orcid":"https://orcid.org/0000-0002-1505-6766"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibo He","raw_affiliation_strings":["Zhejiang University,Zhejiang,China","Zhejiang University, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Zhejiang,China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang University, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079378336","display_name":"Mingyang Sun","orcid":"https://orcid.org/0000-0002-5790-5025"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyang Sun","raw_affiliation_strings":["Zhejiang University,Zhejiang,China","Zhejiang University, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Zhejiang,China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang University, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100726041","display_name":"Jiming Chen","orcid":"https://orcid.org/0000-0003-3155-3145"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiming Chen","raw_affiliation_strings":["Zhejiang University,Zhejiang,China","Zhejiang University, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Zhejiang,China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang University, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054871572"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":6.3975,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.97515892,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9891999959945679,"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":0.8102255463600159},{"id":"https://openalex.org/keywords/semantic-compression","display_name":"Semantic compression","score":0.6090269684791565},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5431472659111023},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5412298440933228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5120523571968079},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.45307987928390503},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.4421238899230957},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.42212748527526855},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41317814588546753},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40824130177497864},{"id":"https://openalex.org/keywords/semantic-technology","display_name":"Semantic technology","score":0.1379973590373993},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.10486188530921936},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08945980668067932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8102255463600159},{"id":"https://openalex.org/C202708506","wikidata":"https://www.wikidata.org/wiki/Q7449050","display_name":"Semantic compression","level":5,"score":0.6090269684791565},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5431472659111023},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5412298440933228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5120523571968079},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.45307987928390503},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.4421238899230957},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.42212748527526855},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41317814588546753},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40824130177497864},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.1379973590373993},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.10486188530921936},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08945980668067932},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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":1,"locations":[{"id":"doi:10.1109/iswcs56560.2022.9940401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iswcs56560.2022.9940401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Symposium on Wireless Communication Systems (ISWCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8398014063","display_name":null,"funder_award_id":"2021FZZX001-20","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1861492603","https://openalex.org/W1995875735","https://openalex.org/W2133665775","https://openalex.org/W2194775991","https://openalex.org/W2560023338","https://openalex.org/W2615762555","https://openalex.org/W2737258237","https://openalex.org/W2944851425","https://openalex.org/W2946889564","https://openalex.org/W2948427854","https://openalex.org/W2963174256","https://openalex.org/W3016715915","https://openalex.org/W3024673672","https://openalex.org/W3036851434","https://openalex.org/W3046103159","https://openalex.org/W3047573586","https://openalex.org/W3102125291","https://openalex.org/W3111746241","https://openalex.org/W3113050802","https://openalex.org/W3134818623","https://openalex.org/W3166791908","https://openalex.org/W3190138134","https://openalex.org/W3198139956","https://openalex.org/W3200514756","https://openalex.org/W3209951242","https://openalex.org/W3211862227","https://openalex.org/W4295312788","https://openalex.org/W6639102338","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2026635458","https://openalex.org/W3012445987","https://openalex.org/W2018066836","https://openalex.org/W2038882528","https://openalex.org/W2277021700","https://openalex.org/W3134365128","https://openalex.org/W2035647422","https://openalex.org/W3009520654","https://openalex.org/W2250607250","https://openalex.org/W17895774"],"abstract_inverted_index":{"Semantic-oriented":[0],"communication":[1,29,151],"has":[2],"been":[3],"considered":[4],"a":[5,25,57,93,103,125],"promising":[6],"method":[7],"to":[8,97,108,133],"boost":[9],"bandwidth":[10,157],"efficiency":[11,146],"by":[12,124],"only":[13],"transmitting":[14],"the":[15,18,53,65,71,75,79,89,99,110,136,143,148,155,161,164,168],"semantics":[16,73,101,166],"of":[17,88,147,163,170],"data.":[19],"In":[20,51],"this":[21],"paper,":[22],"we":[23],"propose":[24],"multi-level":[26],"semantic":[27,59,67,81,117,127,150],"aware":[28],"system":[30],"for":[31],"wireless":[32],"image":[33,95,105],"transmission,":[34],"named":[35],"MLSC-image,":[36],"which":[37,159],"is":[38],"based":[39],"on":[40],"deep":[41],"learning":[42],"(DL)":[43],"techniques":[44],"and":[45,74,78,102,115,122,128,145],"trained":[46],"in":[47,167],"an":[48],"end-to-end":[49],"manner.":[50],"particular,":[52],"proposed":[54,149],"model":[55,107],"includes":[56],"multilevel":[58],"feature":[60],"extractor,":[61],"that":[62],"extracts":[63],"both":[64],"high-level":[66,114,165],"information,":[68,82],"such":[69,83],"as":[70,84],"text":[72,100],"segmentation":[76,106,111],"semantics,":[77],"low-level":[80,116],"local":[85],"spatial":[86],"details":[87],"images.":[90,171],"We":[91],"employ":[92],"pret-rained":[94],"caption":[96],"capture":[98],"pre-trained":[104],"obtain":[109],"semantics.":[112],"These":[113],"features":[118],"are":[119],"then":[120],"combined":[121],"encoded":[123],"joint":[126],"channel":[129],"encoder":[130],"into":[131],"symbols":[132],"transmit":[134],"over":[135],"physical":[137],"channel.":[138],"The":[139],"numerical":[140],"results":[141],"validate":[142],"effectiveness":[144],"system,":[152],"especially":[153],"under":[154],"limited":[156],"condition,":[158],"indicates":[160],"advantages":[162],"compression":[169]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}