{"id":"https://openalex.org/W4408092585","doi":"https://doi.org/10.1109/ants63515.2024.10898424","title":"Efficient Image Transmission using Semantic Communication for Static Environment Surveillance","display_name":"Efficient Image Transmission using Semantic Communication for Static Environment Surveillance","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4408092585","doi":"https://doi.org/10.1109/ants63515.2024.10898424"},"language":"en","primary_location":{"id":"doi:10.1109/ants63515.2024.10898424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ants63515.2024.10898424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","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/A5116479441","display_name":"K R Nandakishore","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"K R Nandakishore","raw_affiliation_strings":["Indian Institute of Technology Hyderabad,Department of Electrical Engineering,Hyderabad,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Hyderabad,Department of Electrical Engineering,Hyderabad,India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116479442","display_name":"Rayani Venkat Sai Rithvik","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rayani Venkat Sai Rithvik","raw_affiliation_strings":["Indian Institute of Technology Hyderabad,Department of Electrical Engineering,Hyderabad,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Hyderabad,Department of Electrical Engineering,Hyderabad,India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064519214","display_name":"Mohammed Zafar Ali Khan","orcid":"https://orcid.org/0000-0002-6993-3437"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mohammed Zafar Ali Khan","raw_affiliation_strings":["Indian Institute of Technology Hyderabad,Department of Electrical Engineering,Hyderabad,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Hyderabad,Department of Electrical Engineering,Hyderabad,India","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5116479441"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":0.3495,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65050809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T13382","display_name":"Robotics and Automated Systems","score":0.8550000190734863,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T13382","display_name":"Robotics and Automated Systems","score":0.8550000190734863,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.775600016117096,"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":0.7332000136375427,"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":0.7900536060333252},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.6150140166282654},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5091614127159119},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45366978645324707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3911840319633484},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3255760669708252},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20688766241073608}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7900536060333252},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.6150140166282654},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5091614127159119},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45366978645324707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3911840319633484},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3255760669708252},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20688766241073608}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ants63515.2024.10898424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ants63515.2024.10898424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W4205683915","https://openalex.org/W4210680217","https://openalex.org/W4313455370","https://openalex.org/W4315629699","https://openalex.org/W4315630316","https://openalex.org/W4319303157","https://openalex.org/W4365420412","https://openalex.org/W4372260482","https://openalex.org/W4392175416"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Semantic":[0],"Communication":[1],"is":[2],"a":[3,29,107],"novel":[4,30],"approach":[5],"that":[6],"focuses":[7],"on":[8],"transmitting":[9],"only":[10],"essential":[11],"information,":[12],"leading":[13],"to":[14,116,196,223,238],"significant":[15,143],"reductions":[16],"in":[17],"the":[18,34,39,43,46,49,52,66,72,77,80,83,90,96,102,156,197,208,227,240],"number":[19],"of":[20,42,51,54,71,76,104,171,210],"bits":[21],"required":[22],"and":[23,74,95,135,180,232],"conserving":[24],"energy.":[25],"This":[26],"paper":[27],"introduces":[28],"transmission":[31,70,120],"technique":[32,47],"using":[33,61,89,146],"semantic":[35,98,118,157,187],"communication":[36],"paradigm.":[37],"Utilizing":[38],"shared":[40],"knowledge":[41],"static":[44],"background,":[45],"involves":[48],"extraction":[50,103],"Region":[53],"Interest":[55],"(RoI),":[56],"from":[57],"an":[58],"image":[59,119],"frame,":[60],"deep":[62],"learning":[63],"frameworks":[64],"at":[65,82],"transmitter,":[67],"followed":[68],"by":[69,152,162],"RoI":[73,78],"blending":[75],"onto":[79],"background":[81],"receiver.":[84],"The":[85],"simulation":[86],"was":[87],"executed":[88],"YOLOv3":[91],"object":[92,147,178,190],"detection":[93,148,179,191],"model":[94,100],"FastSeg":[97],"segmentation":[99,158],"for":[101],"RoI.":[105],"Using":[106],"custom":[108],"dataset,":[109],"our":[110,235],"system":[111],"demonstrates":[112],"superior":[113],"performance":[114],"compared":[115],"existing":[117],"systems.":[121],"Reconstruction":[122],"Metrics":[123],"such":[124],"as":[125],"Normalized":[126],"Mean":[127,136],"Squared":[128],"Error":[129],"(NMSE),":[130],"Peak":[131],"Signal-to-Noise":[132],"Ratio":[133],"(PSNR),":[134],"Structural":[137],"Similarity":[138],"Index":[139],"Measure":[140],"(MSSIM)":[141],"show":[142],"improvements.":[144],"Specifically,":[145],"module":[149,159],"enhances":[150],"PSNR":[151],"4.40":[153],"dB,":[154],"while":[155],"improves":[160],"it":[161,206],"10.47":[163],"dB.":[164],"Additionally,":[165],"we":[166],"achieve":[167],"average":[168],"bit":[169,194,230],"savings":[170,195,231],"$\\mathbf{8":[172],"6.":[173],"7":[174,203],"2":[175,184],"\\%}$":[176,185,204],"with":[177,186,199],"$\\mathbf{5":[181],"4.":[182],"4":[183],"segmentation.":[188],"Although":[189],"provides":[192],"comparable":[193],"baseline":[198],"$\\mathbf{9":[200],"1.":[201],"5":[202],"savings,":[205],"avoids":[207],"pitfalls":[209],"Generative":[211],"Adversarial":[212],"Networks":[213],"(GANs),":[214],"which":[215],"often":[216],"produce":[217],"poor":[218],"or":[219],"unrelated":[220],"reconstructions":[221],"due":[222],"dataset":[224],"biases.":[225],"Considering":[226],"balance":[228],"between":[229],"reconstruction":[233],"quality,":[234],"method":[236],"proves":[237],"be":[239],"most":[241],"effective.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}