{"id":"https://openalex.org/W1945036000","doi":"https://doi.org/10.1109/cvpr.2015.7298864","title":"Encoding based saliency detection for videos and images","display_name":"Encoding based saliency detection for videos and images","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1945036000","doi":"https://doi.org/10.1109/cvpr.2015.7298864","mag":"1945036000"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5041607252","display_name":"Thomas Mauthner","orcid":null},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Thomas Mauthner","raw_affiliation_strings":["Institute for Computer Graphics and Vision, Graz University of Technology","Institute for Computer Graphics and Vision, Graz University of Technology - Austria"],"affiliations":[{"raw_affiliation_string":"Institute for Computer Graphics and Vision, Graz University of Technology","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"Institute for Computer Graphics and Vision, Graz University of Technology - Austria","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039382695","display_name":"Horst Possegger","orcid":"https://orcid.org/0000-0002-5427-9938"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Horst Possegger","raw_affiliation_strings":["Institute for Computer Graphics and Vision, Graz University of Technology","Institute for Computer Graphics and Vision, Graz University of Technology - Austria"],"affiliations":[{"raw_affiliation_string":"Institute for Computer Graphics and Vision, Graz University of Technology","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"Institute for Computer Graphics and Vision, Graz University of Technology - Austria","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078850158","display_name":"Georg Waltner","orcid":null},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Georg Waltner","raw_affiliation_strings":["Institute for Computer Graphics and Vision, Graz University of Technology","Institute for Computer Graphics and Vision, Graz University of Technology - Austria"],"affiliations":[{"raw_affiliation_string":"Institute for Computer Graphics and Vision, Graz University of Technology","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"Institute for Computer Graphics and Vision, Graz University of Technology - Austria","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011359067","display_name":"Horst Bischof","orcid":"https://orcid.org/0000-0002-9096-6671"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Horst Bischof","raw_affiliation_strings":["Institute for Computer Graphics and Vision, Graz University of Technology","Institute for Computer Graphics and Vision, Graz University of Technology - Austria"],"affiliations":[{"raw_affiliation_string":"Institute for Computer Graphics and Vision, Graz University of Technology","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"Institute for Computer Graphics and Vision, Graz University of Technology - Austria","institution_ids":["https://openalex.org/I4092182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5041607252"],"corresponding_institution_ids":["https://openalex.org/I4092182"],"apc_list":null,"apc_paid":null,"fwci":5.5229,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.97192724,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2494","last_page":"2502"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9933000206947327,"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":0.9909999966621399,"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":0.8071921467781067},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8056364059448242},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.7033703923225403},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6380786895751953},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.6115025281906128},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6013672351837158},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5347641110420227},{"id":"https://openalex.org/keywords/gestalt-psychology","display_name":"Gestalt psychology","score":0.532698392868042},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.526991069316864},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5218464136123657},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5188301801681519},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5063380002975464},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.49481862783432007},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.46237775683403015},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.46096158027648926},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42210841178894043},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.0866161584854126}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8071921467781067},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8056364059448242},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7033703923225403},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6380786895751953},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.6115025281906128},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6013672351837158},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5347641110420227},{"id":"https://openalex.org/C27362006","wikidata":"https://www.wikidata.org/wiki/Q272021","display_name":"Gestalt psychology","level":3,"score":0.532698392868042},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.526991069316864},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5218464136123657},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5188301801681519},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5063380002975464},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.49481862783432007},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.46237775683403015},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.46096158027648926},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42210841178894043},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0866161584854126},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2015.7298864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321181","display_name":"Austrian Science Fund","ror":"https://ror.org/013tf3c58"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W21025885","https://openalex.org/W33363299","https://openalex.org/W76527192","https://openalex.org/W1510835000","https://openalex.org/W1655654231","https://openalex.org/W1965301399","https://openalex.org/W1998062602","https://openalex.org/W2002781701","https://openalex.org/W2033859430","https://openalex.org/W2034482269","https://openalex.org/W2036691646","https://openalex.org/W2037954058","https://openalex.org/W2078903912","https://openalex.org/W2086791339","https://openalex.org/W2096037448","https://openalex.org/W2097878628","https://openalex.org/W2099634219","https://openalex.org/W2100470808","https://openalex.org/W2101194540","https://openalex.org/W2105454024","https://openalex.org/W2119577735","https://openalex.org/W2123698797","https://openalex.org/W2128272608","https://openalex.org/W2128715914","https://openalex.org/W2135957164","https://openalex.org/W2138046011","https://openalex.org/W2146634731","https://openalex.org/W2152233525","https://openalex.org/W2157554677","https://openalex.org/W2164720308","https://openalex.org/W2170869852","https://openalex.org/W2567978322","https://openalex.org/W6600850345","https://openalex.org/W6674616764","https://openalex.org/W6675628854","https://openalex.org/W6680437723","https://openalex.org/W6685314622","https://openalex.org/W6731638882"],"related_works":["https://openalex.org/W2095705906","https://openalex.org/W2975200075","https://openalex.org/W2007544051","https://openalex.org/W2732308154","https://openalex.org/W1988485990","https://openalex.org/W2134990190","https://openalex.org/W3177406559","https://openalex.org/W2034304909","https://openalex.org/W2334336442","https://openalex.org/W4312330527"],"abstract_inverted_index":{"We":[0,93,110],"present":[1],"a":[2,67],"novel":[3],"video":[4],"saliency":[5,104],"detection":[6,19,131],"method":[7],"to":[8,33,38,48,71,140],"support":[9],"human":[10],"activity":[11,18,44,149],"recognition":[12],"and":[13,90,123,148],"weakly":[14,40],"supervised":[15],"training":[16,42,56],"of":[17,43,84,103],"algorithms.":[20],"Recent":[21],"research":[22],"has":[23],"emphasized":[24],"the":[25,81],"need":[26],"for":[27,87,100],"analyzing":[28],"salient":[29,73,129],"information":[30,57],"in":[31,132,143],"videos":[32],"minimize":[34],"dataset":[35],"bias":[36],"or":[37,62],"supervise":[39],"labeled":[41],"detectors.":[45],"In":[46,77],"contrast":[47],"previous":[49],"methods":[50,142],"we":[51,79,135],"do":[52],"not":[53],"rely":[54],"on":[55,114],"given":[58],"by":[59,105],"either":[60],"eye-gaze":[61,147],"annotation":[63],"data,":[64],"but":[65],"propose":[66],"fully":[68],"unsupervised":[69],"algorithm":[70],"find":[72],"regions":[74],"within":[75],"videos.":[76],"general,":[78],"enforce":[80],"Gestalt":[82],"principle":[83],"figure-ground":[85],"segregation":[86],"both":[88,145],"appearance":[89],"motion":[91],"cues.":[92],"introduce":[94],"an":[95],"encoding":[96],"approach":[97,113],"that":[98],"allows":[99],"efficient":[101],"computation":[102],"approximating":[106],"joint":[107],"feature":[108],"distributions.":[109],"evaluate":[111],"our":[112],"several":[115],"datasets,":[116],"including":[117],"challenging":[118],"scenarios":[119],"with":[120],"cluttered":[121],"background":[122],"camera":[124],"motion,":[125],"as":[126,128],"well":[127],"object":[130],"images.":[133],"Overall,":[134],"demonstrate":[136],"favorable":[137],"performance":[138],"compared":[139],"state-of-the-art":[141],"estimating":[144],"ground-truth":[146],"annotations.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}