{"id":"https://openalex.org/W4297097669","doi":"https://doi.org/10.1109/iccp54855.2022.9887724","title":"A Two-Level Auto-Encoder for Distributed Stereo Coding","display_name":"A Two-Level Auto-Encoder for Distributed Stereo Coding","publication_year":2022,"publication_date":"2022-08-01","ids":{"openalex":"https://openalex.org/W4297097669","doi":"https://doi.org/10.1109/iccp54855.2022.9887724"},"language":"en","primary_location":{"id":"doi:10.1109/iccp54855.2022.9887724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp54855.2022.9887724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Computational Photography (ICCP)","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/A5068176265","display_name":"Yuval Harel","orcid":"https://orcid.org/0009-0002-8643-0804"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Yuval Harel","raw_affiliation_strings":["School of Electrical Engineering, Tel-Aviv University,Tel-Aviv,ISRAEL,69978"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Tel-Aviv University,Tel-Aviv,ISRAEL,69978","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068635313","display_name":"Shai Avidan","orcid":null},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Shai Avidan","raw_affiliation_strings":["School of Electrical Engineering, Tel-Aviv University,Tel-Aviv,ISRAEL,69978"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Tel-Aviv University,Tel-Aviv,ISRAEL,69978","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068176265"],"corresponding_institution_ids":["https://openalex.org/I16391192"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08660082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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":0.9994000196456909,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7714771628379822},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.768380880355835},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7166527509689331},{"id":"https://openalex.org/keywords/stereo-image","display_name":"Stereo image","score":0.601032018661499},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5928236246109009},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5471802949905396},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5287772417068481},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.447967529296875},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4346206486225128},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39192765951156616},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16202181577682495}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7714771628379822},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.768380880355835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7166527509689331},{"id":"https://openalex.org/C2987632653","wikidata":"https://www.wikidata.org/wiki/Q7611220","display_name":"Stereo image","level":3,"score":0.601032018661499},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5928236246109009},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5471802949905396},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5287772417068481},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.447967529296875},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4346206486225128},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39192765951156616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16202181577682495},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp54855.2022.9887724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp54855.2022.9887724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Computational Photography (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1580389772","https://openalex.org/W2040903332","https://openalex.org/W2099213070","https://openalex.org/W2107534948","https://openalex.org/W2115907784","https://openalex.org/W2118217749","https://openalex.org/W2118375162","https://openalex.org/W2138256990","https://openalex.org/W2150412388","https://openalex.org/W2155676967","https://openalex.org/W2159344903","https://openalex.org/W2169161136","https://openalex.org/W2169809669","https://openalex.org/W2476548250","https://openalex.org/W2509267076","https://openalex.org/W2552465432","https://openalex.org/W2597747080","https://openalex.org/W2604392022","https://openalex.org/W2805163084","https://openalex.org/W2895957955","https://openalex.org/W2949361041","https://openalex.org/W2950217418","https://openalex.org/W2962676454","https://openalex.org/W2962847516","https://openalex.org/W2962891349","https://openalex.org/W2963091558","https://openalex.org/W2963149687","https://openalex.org/W2963189365","https://openalex.org/W2963449488","https://openalex.org/W2963541849","https://openalex.org/W2963619659","https://openalex.org/W2963711615","https://openalex.org/W2964098744","https://openalex.org/W2969260367","https://openalex.org/W2981613960","https://openalex.org/W2988915675","https://openalex.org/W3013428964","https://openalex.org/W3107434931","https://openalex.org/W3133277045","https://openalex.org/W3175951453","https://openalex.org/W4288347347","https://openalex.org/W4294567867","https://openalex.org/W4297659253","https://openalex.org/W6631190155","https://openalex.org/W6694251005","https://openalex.org/W6734035190","https://openalex.org/W6738494155"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W2163885456","https://openalex.org/W2998180244","https://openalex.org/W2364727878","https://openalex.org/W2033075517"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,27,123,135],"new":[3],"technique":[4],"for":[5],"stereo":[6],"image":[7,24,41,75,91,138,174,240],"compression":[8,139,241],"that":[9],"is":[10,57,120],"based":[11,121],"on":[12,85,93,122,154,182,242],"Distributed":[13],"Source":[14],"Coding":[15],"(DSC).":[16],"In":[17,64],"our":[18,55,65],"setting,":[19],"two":[20,100,124],"cameras":[21,101],"transmit":[22,39,172,193],"their":[23],"back":[25],"to":[26,36,58,76,171,175,192,196,208,226],"processing":[28,78,106,177,198,201],"unit.":[29,178,199],"Naively":[30],"doing":[31],"so":[32],"requires":[33],"each":[34],"camera":[35,165],"compress":[37],"and":[38,54,213],"its":[40,74,90,173,194],"independently.":[42],"However,":[43],"the":[44,51,70,77,86,94,99,111,115,130,147,150,155,158,163,167,176,183,187,197,204,210,214,222,228,236],"images":[45],"are":[46],"correlated":[47],"because":[48],"they":[49],"observe":[50],"same":[52],"scene,":[53],"goal":[56],"take":[59],"advantage":[60],"of":[61,149,157,189,216,235],"this":[62],"fact.":[63],"solution,":[66],"one":[67],"camera,":[68,72,84,181],"assume":[69],"left":[71,95,116,159,164,211,224],"sends":[73],"unit,":[79],"as":[80,219,221],"before.":[81],"The":[82,105,118,141,179,200,231],"right":[83,112,151,180,229],"other":[87,184],"hand,":[88,185],"transmits":[89],"conditioned":[92,153],"image,":[96,113,152,212,225],"even":[97],"though":[98],"do":[102],"not":[103],"communicate.":[104],"unit":[107,202],"can":[108],"then":[109],"decode":[110],"using":[114],"image.":[117,160,230],"solution":[119],"level":[125,132,143,169,206],"Auto-Encoder":[126],"(AE).":[127],"During":[128,161],"training,":[129],"first":[131,168],"AE":[133,144,170],"learns":[134],"standard":[136],"single":[137],"code.":[140],"second":[142],"further":[145],"compresses":[146],"code":[148,156,195],"inference,":[162],"uses":[166,186,203],"encoders":[188],"both":[190,217],"levels":[191],"top":[205],"decoder":[207],"recover":[209,227],"decoders":[215],"levels,":[218],"well":[220],"recovered":[223],"system":[232],"achieves":[233],"state":[234],"art":[237],"results":[238],"in":[239],"several":[243],"popular":[244],"datasets.":[245]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}