{"id":"https://openalex.org/W2054940769","doi":"https://doi.org/10.1109/icip.2014.7026092","title":"Spatio-temporal modeling of visual attention for stereoscopic 3D video","display_name":"Spatio-temporal modeling of visual attention for stereoscopic 3D video","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2054940769","doi":"https://doi.org/10.1109/icip.2014.7026092","mag":"2054940769"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7026092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026092","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 Image Processing (ICIP)","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/A5052099761","display_name":"Iana Iatsun","orcid":null},"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"]},{"id":"https://openalex.org/I4210093397","display_name":"XLIM","ror":"https://ror.org/00f7srh09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I32881790","https://openalex.org/I4210093397","https://openalex.org/I4210095849","https://openalex.org/I65806277"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Iana Iatsun","raw_affiliation_strings":["XLIM, Universit\u00e9 de Poitiers, France","UP - Universit\u00e9 de Poitiers =  University of Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)","XLIM-ASALI - Synth\u00e8se et analyse d'images (XLIM - 123, avenue Albert Thomas - 87060 LIMOGES CEDEX - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"XLIM, Universit\u00e9 de Poitiers, France","institution_ids":["https://openalex.org/I32881790"]},{"raw_affiliation_string":"UP - Universit\u00e9 de Poitiers =  University of Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)","institution_ids":["https://openalex.org/I32881790"]},{"raw_affiliation_string":"XLIM-ASALI - Synth\u00e8se et analyse d'images (XLIM - 123, avenue Albert Thomas - 87060 LIMOGES CEDEX - France)","institution_ids":["https://openalex.org/I4210093397"]}]},{"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"]},{"id":"https://openalex.org/I4210093397","display_name":"XLIM","ror":"https://ror.org/00f7srh09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I32881790","https://openalex.org/I4210093397","https://openalex.org/I4210095849","https://openalex.org/I65806277"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohamed-Chaker Larabi","raw_affiliation_strings":["XLIM, Universit\u00e9 de Poitiers, France","UP - Universit\u00e9 de Poitiers =  University of Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)","XLIM-ASALI - Synth\u00e8se et analyse d'images (XLIM - 123, avenue Albert Thomas - 87060 LIMOGES CEDEX - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"XLIM, Universit\u00e9 de Poitiers, France","institution_ids":["https://openalex.org/I32881790"]},{"raw_affiliation_string":"UP - Universit\u00e9 de Poitiers =  University of Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)","institution_ids":["https://openalex.org/I32881790"]},{"raw_affiliation_string":"XLIM-ASALI - Synth\u00e8se et analyse d'images (XLIM - 123, avenue Albert Thomas - 87060 LIMOGES CEDEX - France)","institution_ids":["https://openalex.org/I4210093397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113834159","display_name":"Christine Fern\u00e1ndez-Maloigne","orcid":null},"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"]},{"id":"https://openalex.org/I4210093397","display_name":"XLIM","ror":"https://ror.org/00f7srh09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I32881790","https://openalex.org/I4210093397","https://openalex.org/I4210095849","https://openalex.org/I65806277"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christine Fernandez-Maloigne","raw_affiliation_strings":["XLIM, Universit\u00e9 de Poitiers, France","UP - Universit\u00e9 de Poitiers =  University of Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)","XLIM-ASALI - Synth\u00e8se et analyse d'images (XLIM - 123, avenue Albert Thomas - 87060 LIMOGES CEDEX - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"XLIM, Universit\u00e9 de Poitiers, France","institution_ids":["https://openalex.org/I32881790"]},{"raw_affiliation_string":"UP - Universit\u00e9 de Poitiers =  University of Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)","institution_ids":["https://openalex.org/I32881790"]},{"raw_affiliation_string":"XLIM-ASALI - Synth\u00e8se et analyse d'images (XLIM - 123, avenue Albert Thomas - 87060 LIMOGES CEDEX - France)","institution_ids":["https://openalex.org/I4210093397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2472,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59853539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"22","issue":null,"first_page":"5397","last_page":"5401"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9922999739646912,"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":0.8197066783905029},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.811867356300354},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7745290994644165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7547667026519775},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.7206298112869263},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.5709367394447327},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4773402512073517},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4518265128135681},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4291611313819885},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4104264974594116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07172644138336182}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8197066783905029},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.811867356300354},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7745290994644165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7547667026519775},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.7206298112869263},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.5709367394447327},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4773402512073517},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4518265128135681},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4291611313819885},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4104264974594116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07172644138336182},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2014.7026092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026092","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 Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01574564v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01574564","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 Image Processing (ICIP), Oct 2014, Paris, France. pp.5397-5401, ⟨10.1109/ICIP.2014.7026092⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1605517717","https://openalex.org/W1677409904","https://openalex.org/W1978741881","https://openalex.org/W1990014309","https://openalex.org/W1999243652","https://openalex.org/W2024161746","https://openalex.org/W2085669808","https://openalex.org/W2102828200","https://openalex.org/W2106587864","https://openalex.org/W2111308925","https://openalex.org/W2121600399","https://openalex.org/W2124386111","https://openalex.org/W2128272608","https://openalex.org/W2135957164","https://openalex.org/W2146037576","https://openalex.org/W2154504070","https://openalex.org/W2158211626","https://openalex.org/W2162216530","https://openalex.org/W2164084182","https://openalex.org/W2166184839","https://openalex.org/W2170161511","https://openalex.org/W4249022109","https://openalex.org/W6644978451","https://openalex.org/W6656359868","https://openalex.org/W6676770471","https://openalex.org/W6680437723"],"related_works":["https://openalex.org/W2074216034","https://openalex.org/W2257095280","https://openalex.org/W2074585893","https://openalex.org/W2073100926","https://openalex.org/W2100767936","https://openalex.org/W2566445787","https://openalex.org/W1978189035","https://openalex.org/W1976277412","https://openalex.org/W2785517206","https://openalex.org/W4213085014"],"abstract_inverted_index":{"Modeling":[0],"visual":[1,76],"attention":[2,130],"is":[3,52,82,90],"an":[4],"important":[5],"stage":[6],"for":[7,21,34,46,71,115],"the":[8,54,97,112],"optimization":[9],"of":[10,56,100],"image":[11],"processing":[12],"systems":[13],"nowadays.":[14],"Several":[15,102],"models":[16],"have":[17,105],"been":[18,106,122],"already":[19],"developed":[20],"2D":[22],"static":[23],"and":[24,62,136],"dynamic":[25],"content,":[26],"but":[27],"only":[28],"few":[29],"attempts":[30],"can":[31],"be":[32],"found":[33],"stereoscopic":[35,47],"3D":[36,48,80],"content.":[37],"In":[38],"this":[39],"work":[40],"we":[41],"propose":[42],"a":[43,93],"saliency":[44],"model":[45,51,95],"video.":[49],"This":[50],"based":[53,84],"fusion":[55,103],"three":[57],"maps":[58,131],"i.e.":[59],"spatial,":[60],"temporal":[61],"depth.":[63],"It":[64],"relies":[65],"on":[66,85],"interest":[67],"point":[68],"features":[69],"known":[70],"being":[72],"close":[73],"to":[74,110,129],"human":[75],"attention.":[77],"Moreover,":[78],"since":[79],"perception":[81],"mostly":[83],"monocular":[86,94],"cues,":[87],"depth":[88,98],"information":[89],"obtained":[91,132],"using":[92,124],"predicting":[96],"position":[99],"objects.":[101],"strategies":[104],"experimented":[107],"in":[108,127],"order":[109],"determine":[111],"best":[113],"match":[114],"our":[116,119],"model.":[117],"Finally,":[118],"approach":[120],"has":[121],"validated":[123],"state-of-the-art":[125],"metrics":[126],"comparison":[128],"by":[133],"eye-tracking":[134],"experiments,":[135],"showed":[137],"good":[138],"performance.":[139]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}