{"id":"https://openalex.org/W2474705279","doi":"https://doi.org/10.1109/ict.2016.7500430","title":"Entropy based image segmentation with wavelet compression for energy efficient LTE systems","display_name":"Entropy based image segmentation with wavelet compression for energy efficient LTE systems","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2474705279","doi":"https://doi.org/10.1109/ict.2016.7500430","mag":"2474705279"},"language":"en","primary_location":{"id":"doi:10.1109/ict.2016.7500430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict.2016.7500430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Telecommunications (ICT)","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/A5073746428","display_name":"Anshu Mittal","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Anshu Mittal","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067264984","display_name":"Chinmoy Kundu","orcid":"https://orcid.org/0000-0003-4835-0395"},"institutions":[{"id":"https://openalex.org/I130438778","display_name":"Memorial University of Newfoundland","ror":"https://ror.org/04haebc03","country_code":"CA","type":"education","lineage":["https://openalex.org/I130438778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Chinmoy Kundu","raw_affiliation_strings":["Faculty of Engineering and Applied-Science, Memorial University, Canada"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Applied-Science, Memorial University, Canada","institution_ids":["https://openalex.org/I130438778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046405021","display_name":"Ranjan Bose","orcid":"https://orcid.org/0009-0009-2498-4896"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ranjan Bose","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083715100","display_name":"R. K. Shevgaonkar","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. K. Shevgaonkar","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073746428"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.5513,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70504751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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/T12238","display_name":"Green IT and Sustainability","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12238","display_name":"Green IT and Sustainability","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11165","display_name":"Image and Video Quality Assessment","score":0.9973000288009644,"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":0.9955999851226807,"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/uncompressed-video","display_name":"Uncompressed video","score":0.8366968631744385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7362495064735413},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6468208432197571},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5627787113189697},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.4924362599849701},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4905206561088562},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.48599061369895935},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47183138132095337},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4353592097759247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4350544810295105},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.4329053461551666},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.42630505561828613},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3976224660873413},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.37884098291397095},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32462817430496216},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30876636505126953},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1793287694454193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13053607940673828},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09812003374099731},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.09431338310241699},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.08218607306480408}],"concepts":[{"id":"https://openalex.org/C162478608","wikidata":"https://www.wikidata.org/wiki/Q4011369","display_name":"Uncompressed video","level":4,"score":0.8366968631744385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7362495064735413},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6468208432197571},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5627787113189697},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.4924362599849701},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4905206561088562},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.48599061369895935},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47183138132095337},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4353592097759247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4350544810295105},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.4329053461551666},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.42630505561828613},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3976224660873413},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.37884098291397095},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32462817430496216},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30876636505126953},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1793287694454193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13053607940673828},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09812003374099731},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.09431338310241699},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.08218607306480408},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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":1,"locations":[{"id":"doi:10.1109/ict.2016.7500430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict.2016.7500430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Telecommunications (ICT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W595252221","https://openalex.org/W1967755008","https://openalex.org/W1984153831","https://openalex.org/W1995875735","https://openalex.org/W2000615813","https://openalex.org/W2030265202","https://openalex.org/W2048599615","https://openalex.org/W2078821319","https://openalex.org/W2104316952","https://openalex.org/W2109546606","https://openalex.org/W2117014495","https://openalex.org/W2117359415","https://openalex.org/W2122711334","https://openalex.org/W2129636357","https://openalex.org/W2138234297","https://openalex.org/W2140196014","https://openalex.org/W2143488688","https://openalex.org/W2150934664","https://openalex.org/W2152481521","https://openalex.org/W2167769932","https://openalex.org/W2476438544","https://openalex.org/W2980909807","https://openalex.org/W2982554162","https://openalex.org/W2993383518","https://openalex.org/W4243154030","https://openalex.org/W6721301290","https://openalex.org/W6827953575"],"related_works":["https://openalex.org/W2548279867","https://openalex.org/W2091708610","https://openalex.org/W2724215103","https://openalex.org/W2332932280","https://openalex.org/W3162084246","https://openalex.org/W3080614128","https://openalex.org/W3117054490","https://openalex.org/W4243608781","https://openalex.org/W2387043686","https://openalex.org/W1980158753"],"abstract_inverted_index":{"In":[0,20],"the":[1,59,137,154,159],"era":[2],"of":[3,81,119,146],"advanced":[4],"web":[5],"based":[6,83],"applications,":[7],"energy":[8,39,47,61,156,165],"consumption":[9,40,62],"needs":[10],"to":[11,31,57,98,121,149,152,167,170],"be":[12,122,150],"analyzed":[13],"for":[14,66],"mobile":[15,30],"devices":[16],"running":[17],"on":[18,84],"batteries.":[19],"this":[21],"paper,":[22],"we":[23,162],"have":[24,53,89,106,114,133,148],"considered":[25],"image":[26,77],"transfer":[27],"application":[28],"from":[29],"cloud":[32],"through":[33],"LTE":[34],"network.":[35],"We":[36,52,88,105,113,132],"took":[37],"realistic":[38],"model":[41],"which":[42],"includes":[43],"radio":[44],"energy,":[45],"circuit":[46],"along":[48],"with":[49],"computation":[50],"energy.":[51],"proposed":[54],"an":[55,76],"algorithm":[56,74,161],"minimize":[58],"total":[60],"per":[63],"information":[64,86],"bit":[65,69],"a":[67],"specific":[68],"error":[70],"rate":[71],"requirement.":[72],"This":[73],"segments":[75,120,147],"and":[78,109,141],"compress":[79],"some":[80],"them":[82],"their":[85],"entropy.":[87],"found":[90],"that":[91,116,135],"optimal":[92],"segmentation":[93],"is":[94],"beneficial":[95],"as":[96,136],"opposed":[97],"fully":[99,102,171,174],"uncompressed":[100,175],"or":[101,173],"compressed":[103,123,151,172],"image.":[104,176],"compared":[107,169],"wavelet":[108],"JPEG":[110],"compression":[111],"techniques.":[112],"observed":[115],"same":[117],"number":[118,145],"at":[124],"relatively":[125],"smaller":[126],"distance":[127,138],"when":[128],"required":[129],"BER":[130],"improves.":[131],"seen":[134],"between":[139],"transmitter":[140],"receiver":[142],"increases":[143],"more":[144],"get":[153],"minimum":[155],"consumption.":[157],"With":[158],"optimized":[160],"can":[163],"save":[164],"up":[166],"28.26%":[168]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
