{"id":"https://openalex.org/W2962361623","doi":"https://doi.org/10.1109/icc.2019.8761766","title":"Traffic Reduction in Video Call and Chat using DNN-Based Image Reconstruction","display_name":"Traffic Reduction in Video Call and Chat using DNN-Based Image Reconstruction","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2962361623","doi":"https://doi.org/10.1109/icc.2019.8761766","mag":"2962361623"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2019.8761766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2019.8761766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5002184967","display_name":"Shota Watanabe","orcid":"https://orcid.org/0000-0001-7001-0405"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shota Watanabe","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019715983","display_name":"Takuya Fujihashi","orcid":"https://orcid.org/0000-0002-6960-0122"},"institutions":[{"id":"https://openalex.org/I43545212","display_name":"Ehime University","ror":"https://ror.org/017hkng22","country_code":"JP","type":"education","lineage":["https://openalex.org/I43545212"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Fujihashi","raw_affiliation_strings":["Graduate School of Science and Engineering, Ehime University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Ehime University, Japan","institution_ids":["https://openalex.org/I43545212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001123770","display_name":"Shunsuke Saruwatari","orcid":"https://orcid.org/0000-0002-1625-5521"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shunsuke Saruwatari","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046987979","display_name":"Takashi Watanabe","orcid":"https://orcid.org/0000-0002-3227-9048"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Watanabe","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9991000294685364,"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":0.9980999827384949,"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":0.8285661935806274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6998472809791565},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6569768190383911},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.5927169919013977},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.49963879585266113},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4989197254180908},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4803379774093628},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.44588130712509155},{"id":"https://openalex.org/keywords/communication-source","display_name":"Communication source","score":0.42677438259124756},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.42458581924438477},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4161449372768402},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2859877347946167},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10305532813072205},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06278073787689209}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8285661935806274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6998472809791565},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6569768190383911},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.5927169919013977},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.49963879585266113},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4989197254180908},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4803379774093628},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.44588130712509155},{"id":"https://openalex.org/C198104137","wikidata":"https://www.wikidata.org/wiki/Q974688","display_name":"Communication source","level":2,"score":0.42677438259124756},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42458581924438477},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4161449372768402},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2859877347946167},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10305532813072205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06278073787689209},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2019.8761766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2019.8761766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W935139217","https://openalex.org/W1522301498","https://openalex.org/W1811400895","https://openalex.org/W1885185971","https://openalex.org/W1973207880","https://openalex.org/W2025945642","https://openalex.org/W2072438905","https://openalex.org/W2099471712","https://openalex.org/W2121809595","https://openalex.org/W2133665775","https://openalex.org/W2140199336","https://openalex.org/W2161969291","https://openalex.org/W2165939075","https://openalex.org/W2417716951","https://openalex.org/W2550176060","https://openalex.org/W2610638008","https://openalex.org/W2799031464","https://openalex.org/W2898855235","https://openalex.org/W2962927175","https://openalex.org/W2963470893","https://openalex.org/W2963684088","https://openalex.org/W2964121744","https://openalex.org/W3106004954","https://openalex.org/W4320013936","https://openalex.org/W6624640001","https://openalex.org/W6631190155","https://openalex.org/W6638300599","https://openalex.org/W6685352114","https://openalex.org/W6756040472"],"related_works":["https://openalex.org/W2993833576","https://openalex.org/W2776877297","https://openalex.org/W3125718803","https://openalex.org/W2127920220","https://openalex.org/W3119288169","https://openalex.org/W2945097178","https://openalex.org/W4388741024","https://openalex.org/W3122953031","https://openalex.org/W3123743600","https://openalex.org/W4320855289"],"abstract_inverted_index":{"In":[0,145],"this":[1,146],"paper,":[2],"a":[3,25,88,152],"traffic":[4,129],"reduction":[5],"scheme":[6,63,86,123,150],"for":[7,72,79],"videobased":[8],"call":[9],"and":[10,83],"chat":[11],"applications":[12],"that":[13,93,97,139],"uses":[14,46],"deep":[15],"neural":[16],"network":[17],"(DNN)":[18],"based":[19],"super":[20,48,77],"resolution":[21,49,78],"is":[22],"proposed.":[23],"Specifically,":[24],"sender":[26],"transmits":[27],"low-quality,":[28],"low-resolution":[29],"video":[30,42,54,59,101,116,119,128,143],"frames":[31,55,102,117],"containing":[32],"face":[33,68,95],"information":[34],"in":[35,159],"order":[36],"to":[37,50,103,110,157],"reduce":[38],"the":[39,57,85,107,121,125,141,148],"amount":[40,126],"of":[41,75,118,127,161],"traffic.":[43],"The":[44,61],"receiver":[45],"DNN-based":[47],"reconstruct":[51],"highquality,":[52],"high-resolution":[53],"from":[56],"low-quality":[58],"frames.":[60],"proposed":[62,122,149],"makes":[64],"two":[65],"contributions.":[66],"First,":[67],"features":[69,96],"are":[70],"adopted":[71],"parameter":[73],"optimization":[74],"DNNbased":[76],"high-quality":[80,99],"image":[81,154],"reconstruction,":[82],"second,":[84],"includes":[87],"newly":[89],"designed":[90],"loss":[91],"function":[92],"considers":[94],"allow":[98],"face-containing":[100],"be":[104],"reconstructed":[105,153],"at":[106],"receiver.":[108],"According":[109],"our":[111],"evaluation":[112],"results":[113],"using":[114],"real":[115],"calls,":[120],"reduces":[124],"by":[130],"more":[131],"than":[132],"90%":[133],"as":[134],"compared":[135],"with":[136],"conventional":[137],"schemes":[138],"implement":[140],"standard":[142],"encoder.":[144],"case,":[147],"achieves":[151],"quality":[155],"up":[156],"0.85":[158],"terms":[160],"structural":[162],"similarity":[163],"(SSIM).":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}