{"id":"https://openalex.org/W2066909189","doi":"https://doi.org/10.1109/icassp.2014.6853723","title":"Asymmetric coding using Binocular Just Noticeable Difference and depth information for stereoscopic 3D","display_name":"Asymmetric coding using Binocular Just Noticeable Difference and depth information for stereoscopic 3D","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2066909189","doi":"https://doi.org/10.1109/icassp.2014.6853723","mag":"2066909189"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6853723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","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/A5055759473","display_name":"Sid Ahmed Fezza","orcid":"https://orcid.org/0000-0001-6453-8588"},"institutions":[{"id":"https://openalex.org/I4210125514","display_name":"Universit\u00e9 Djilali de Sidi Bel Abb\u00e8s","ror":"https://ror.org/0378szg41","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210125514"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Sid Ahmed Fezza","raw_affiliation_strings":["Department of Computer Science, Djillali Liabes University of Sidi Bel Abbes, Algeria","Dept. of Comput. Sci., Djillali Liabes Univ. of Sidi Bel Abbes, Sidi-Bel-Abbes, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Djillali Liabes University of Sidi Bel Abbes, Algeria","institution_ids":["https://openalex.org/I4210125514"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Djillali Liabes Univ. of Sidi Bel Abbes, Sidi-Bel-Abbes, Algeria","institution_ids":["https://openalex.org/I4210125514"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024090300","display_name":"Mohamed\u2013Chaker Larabi","orcid":"https://orcid.org/0000-0003-4511-5381"},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohamed-Chaker Larabi","raw_affiliation_strings":["SIC Department, University of Poitiers, France","SIC Dept., Univ. of Poitiers, Poitiers, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SIC Department, University of Poitiers, France","institution_ids":["https://openalex.org/I32881790"]},{"raw_affiliation_string":"SIC Dept., Univ. of Poitiers, Poitiers, France","institution_ids":["https://openalex.org/I32881790"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111478443","display_name":"Kamel Mohamed Faraoun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125514","display_name":"Universit\u00e9 Djilali de Sidi Bel Abb\u00e8s","ror":"https://ror.org/0378szg41","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210125514"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Kamel Mohamed Faraoun","raw_affiliation_strings":["Department of Computer Science, Djillali Liabes University of Sidi Bel Abbes, Algeria","Dept. of Comput. Sci., Djillali Liabes Univ. of Sidi Bel Abbes, Sidi-Bel-Abbes, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Djillali Liabes University of Sidi Bel Abbes, Algeria","institution_ids":["https://openalex.org/I4210125514"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Djillali Liabes Univ. of Sidi Bel Abbes, Sidi-Bel-Abbes, Algeria","institution_ids":["https://openalex.org/I4210125514"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9704,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80353883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"7524","issue":null,"first_page":"880","last_page":"884"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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":0.9988999962806702,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9973999857902527,"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/stereoscopy","display_name":"Stereoscopy","score":0.784371018409729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7188321352005005},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6239080429077148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6080796122550964},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5724935531616211},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.5399639010429382},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5226459503173828},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.5184906721115112},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.44569164514541626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26743748784065247},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20650607347488403}],"concepts":[{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.784371018409729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7188321352005005},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6239080429077148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6080796122550964},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5724935531616211},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.5399639010429382},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5226459503173828},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.5184906721115112},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.44569164514541626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26743748784065247},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20650607347488403},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2014.6853723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.944.9515","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.944.9515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p880-fezza.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01159141v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01159141","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2014, Florence, Italy. ⟨10.1109/ICASSP.2014.6853723⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1971992046","https://openalex.org/W1985343339","https://openalex.org/W1997494543","https://openalex.org/W1998520046","https://openalex.org/W2005570605","https://openalex.org/W2021548395","https://openalex.org/W2027842642","https://openalex.org/W2064570468","https://openalex.org/W2065039464","https://openalex.org/W2069356516","https://openalex.org/W2081923310","https://openalex.org/W2101700394","https://openalex.org/W2107742792","https://openalex.org/W2112421488","https://openalex.org/W2131289565","https://openalex.org/W2142455548","https://openalex.org/W2142536989","https://openalex.org/W2149380949","https://openalex.org/W2152661977","https://openalex.org/W2156291868","https://openalex.org/W2157429698","https://openalex.org/W2159786406","https://openalex.org/W2169839492","https://openalex.org/W2802459415","https://openalex.org/W6646659976","https://openalex.org/W6667858882","https://openalex.org/W6683193467"],"related_works":["https://openalex.org/W2257095280","https://openalex.org/W2074585893","https://openalex.org/W2067745193","https://openalex.org/W2078994727","https://openalex.org/W2100767936","https://openalex.org/W2566445787","https://openalex.org/W1978189035","https://openalex.org/W2092680635","https://openalex.org/W2007987780","https://openalex.org/W113585334"],"abstract_inverted_index":{"The":[0,79],"problem":[1],"of":[2,7,42,54,57,94,110,129,134,158,161,164,187,200],"determining":[3],"the":[4,17,27,40,58,72,76,98,108,126,135,139,146,150,152,165,169,179,192],"best":[5,127],"level":[6,148],"asymmetry":[8,88,130],"has":[9],"been":[10,37],"addressed":[11],"by":[12,89],"several":[13],"recent":[14],"works":[15],"with":[16,107,168],"aim":[18,170],"to":[19,71,75,171,185],"guarantee":[20],"an":[21,43,48,69,95],"optimal":[22],"binocular":[23],"perception":[24],"while":[25,190],"keeping":[26],"minimum":[28],"required":[29],"information.":[30],"To":[31],"do":[32],"so,":[33],"subjective":[34],"experiments":[35],"have":[36,97],"conducted":[38],"for":[39,131],"definition":[41],"appropriate":[44],"threshold.":[45],"However,":[46],"such":[47],"approach":[49],"is":[50,103],"lacking":[51],"in":[52,105,149,183,198],"terms":[53,199],"generalization":[55],"because":[56],"content":[59,73],"variability.":[60],"Moreover,":[61],"using":[62],"a":[63,86,119],"fixed":[64],"threshold":[65],"does":[66],"not":[67,104],"allow":[68],"adaptation":[70],"and":[74,145],"images'":[77],"quality.":[78,203],"traditional":[80],"asymmetric":[81,195],"stereoscopic":[82],"coding":[83,196],"methods":[84],"apply":[85],"uniform":[87],"considering":[90],"that":[91,123,178],"all":[92],"regions":[93],"image":[96],"same":[99],"perceptual":[100],"relevance":[101],"which":[102],"compliance":[106],"characteristics":[109],"human":[111],"visual":[112,202],"system":[113],"(HVS).":[114],"Consequently,":[115],"this":[116],"paper":[117],"describes":[118],"fully":[120],"automated":[121],"model":[122],"dynamically":[124],"determines":[125],"bounds":[128],"each":[132],"region":[133],"image.":[136],"Based":[137],"on":[138],"Binocular":[140],"Just":[141],"Noticeable":[142],"Difference":[143],"(BJND)":[144],"depth":[147],"scene,":[151],"proposed":[153,180],"method":[154,181],"achieves":[155],"non-uniform":[156],"reduction":[157],"spatial":[159],"resolution":[160],"one":[162],"view":[163],"stereo":[166],"pair":[167],"reduce":[172],"bandwidth":[173],"requirement.":[174],"Experimental":[175],"results":[176,182],"show":[177],"up":[184],"43%":[186],"bitrate":[188],"saving":[189],"outperforming":[191],"widely":[193],"used":[194],"approaches":[197],"3D":[201]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}