{"id":"https://openalex.org/W2807663718","doi":"https://doi.org/10.1109/tcsvt.2018.2844780","title":"Spatial and Motion Saliency Prediction Method Using Eye Tracker Data for Video Summarization","display_name":"Spatial and Motion Saliency Prediction Method Using Eye Tracker Data for Video Summarization","publication_year":2018,"publication_date":"2018-06-07","ids":{"openalex":"https://openalex.org/W2807663718","doi":"https://doi.org/10.1109/tcsvt.2018.2844780","mag":"2807663718"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2018.2844780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2018.2844780","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5002818315","display_name":"Manoranjan Paul","orcid":"https://orcid.org/0000-0001-6870-5056"},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Manoranjan Paul","raw_affiliation_strings":["School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW, Australia","institution_ids":["https://openalex.org/I153230381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008370864","display_name":"Md. Musfequs Salehin","orcid":"https://orcid.org/0000-0003-0937-9750"},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Md. Musfequs Salehin","raw_affiliation_strings":["School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW, Australia","institution_ids":["https://openalex.org/I153230381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002818315"],"corresponding_institution_ids":["https://openalex.org/I153230381"],"apc_list":null,"apc_paid":null,"fwci":1.5955,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.87870649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"29","issue":"6","first_page":"1856","last_page":"1867"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","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/T11439","display_name":"Video Analysis and Summarization","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10824","display_name":"Image Retrieval and Classification 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/computer-vision","display_name":"Computer vision","score":0.8668047189712524},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.8588333129882812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8093278408050537},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8077781796455383},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5896806120872498},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5755814909934998},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.5593532919883728},{"id":"https://openalex.org/keywords/smooth-pursuit","display_name":"Smooth pursuit","score":0.5153969526290894},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4917135536670685},{"id":"https://openalex.org/keywords/eye-movement","display_name":"Eye movement","score":0.45170581340789795},{"id":"https://openalex.org/keywords/fixation","display_name":"Fixation (population genetics)","score":0.42880162596702576},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.41162121295928955},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4076741933822632}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8668047189712524},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8588333129882812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8093278408050537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8077781796455383},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5896806120872498},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5755814909934998},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.5593532919883728},{"id":"https://openalex.org/C10324989","wikidata":"https://www.wikidata.org/wiki/Q3400677","display_name":"Smooth pursuit","level":3,"score":0.5153969526290894},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4917135536670685},{"id":"https://openalex.org/C153050134","wikidata":"https://www.wikidata.org/wiki/Q760256","display_name":"Eye movement","level":2,"score":0.45170581340789795},{"id":"https://openalex.org/C146249460","wikidata":"https://www.wikidata.org/wiki/Q2914991","display_name":"Fixation (population genetics)","level":3,"score":0.42880162596702576},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.41162121295928955},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4076741933822632},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2018.2844780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2018.2844780","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320961","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1488127489","https://openalex.org/W1533482609","https://openalex.org/W1606366520","https://openalex.org/W1712631158","https://openalex.org/W1750953599","https://openalex.org/W1892884262","https://openalex.org/W1900913856","https://openalex.org/W1910566948","https://openalex.org/W1964737195","https://openalex.org/W1976046848","https://openalex.org/W1976977741","https://openalex.org/W1992443559","https://openalex.org/W2002645931","https://openalex.org/W2005633833","https://openalex.org/W2014234730","https://openalex.org/W2014328297","https://openalex.org/W2016045650","https://openalex.org/W2026012689","https://openalex.org/W2030370977","https://openalex.org/W2031975327","https://openalex.org/W2043955411","https://openalex.org/W2044372538","https://openalex.org/W2049238726","https://openalex.org/W2054282839","https://openalex.org/W2069446898","https://openalex.org/W2070490307","https://openalex.org/W2070922051","https://openalex.org/W2071711566","https://openalex.org/W2086775845","https://openalex.org/W2091008902","https://openalex.org/W2092352401","https://openalex.org/W2092825074","https://openalex.org/W2095092756","https://openalex.org/W2098333418","https://openalex.org/W2100345196","https://openalex.org/W2102804490","https://openalex.org/W2106229755","https://openalex.org/W2109606373","https://openalex.org/W2116314976","https://openalex.org/W2119362355","https://openalex.org/W2120645068","https://openalex.org/W2126532873","https://openalex.org/W2132159401","https://openalex.org/W2138608979","https://openalex.org/W2140329186","https://openalex.org/W2143158529","https://openalex.org/W2144143728","https://openalex.org/W2153265945","https://openalex.org/W2170632605","https://openalex.org/W2171065153","https://openalex.org/W2215880066","https://openalex.org/W2241087971","https://openalex.org/W2242501183","https://openalex.org/W2246003826","https://openalex.org/W2296296668","https://openalex.org/W2312637495","https://openalex.org/W2316539885","https://openalex.org/W2334573335","https://openalex.org/W2334629319","https://openalex.org/W2337941241","https://openalex.org/W2416242708","https://openalex.org/W2480705776","https://openalex.org/W2526391795","https://openalex.org/W2587765487","https://openalex.org/W2964193225","https://openalex.org/W3125189040","https://openalex.org/W6636445378","https://openalex.org/W6654011527","https://openalex.org/W6675954300"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4385066279","https://openalex.org/W2161294397","https://openalex.org/W2012644758","https://openalex.org/W1995066957"],"abstract_inverted_index":{"Video":[0],"summarization":[1,27,56],"is":[2,57,78,201,259,266,315],"the":[3,7,79,122,137,154,159,171,177,183,191,229,234,238,241,261,269,272,334,338,348],"process":[4],"to":[5,15,97,102,147,175,268,286],"extract":[6],"most":[8,192],"significant":[9,41],"contents":[10],"of":[11,81,109,124,156,158,164,231,245,263,271,298,337],"a":[12,19,31,35,51,85,88,92,99,128,195,206,253,296],"video":[13,26,36,55,129,187,319],"and":[14,40,115,167,224,240,280,295,328,341],"represent":[16],"it":[17,132],"in":[18,48,72,91,127],"concise":[20],"form.":[21],"The":[22,75,117,162,257,312],"existing":[23],"methods":[24],"for":[25,34,54,181,186,292],"could":[28],"not":[29,134],"achieve":[30],"satisfactory":[32],"result":[33],"with":[37,325,347],"camera":[38,326],"movement":[39,83,262],"illumination":[42,329],"changes.":[43,330],"To":[44,189,227],"solve":[45],"these":[46,73],"problems,":[47],"this":[49],"paper,":[50],"new":[52,100,196],"framework":[53],"proposed":[58,203,313,339],"based":[59,215,303],"on":[60,216,304,317],"eye":[61,82,264],"tracker":[62],"data,":[63],"as":[64,113,151,153,221,252],"human":[65,217],"eyes":[66],"can":[67],"track":[68],"moving":[69,89,125,139,160],"object":[70,90,168,232],"accurately":[71],"cases.":[74],"smooth":[76,104,118,211,248,275],"pursuit":[77,105,119,212,249],"state":[80],"when":[84],"user":[86,305],"follows":[87],"video.":[93],"This":[94],"motivates":[95],"us":[96],"implement":[98],"method":[101,200,314,345],"distinguish":[103],"from":[106],"other":[107],"type":[108],"gaze":[110,213,243,265],"points,":[111],"such":[112,220],"fixation":[114],"saccade.":[116],"provides":[120],"only":[121],"location":[123],"objects":[126,140,273],"frame;":[130],"however,":[131],"does":[133],"indicate":[135],"whether":[136],"located":[138],"are":[141,170,250,284,301],"very":[142],"attractive":[143,193],"(i.e.,":[144],"salient":[145,165],"regions)":[146],"viewers":[148,246],"or":[149,307],"not,":[150],"well":[152],"amount":[155,163,230],"motion":[157,254,270,281,342],"objects.":[161],"regions":[166],"motions":[169],"two":[172],"important":[173],"features":[174],"measure":[176],"viewer's":[178],"attention":[179],"level":[180],"determining":[182],"key":[184,299],"frames":[185,300],"summarization.":[188],"find":[190],"objects,":[194],"spatial":[197,279,340],"saliency":[198,207,255,282,290,343],"prediction":[199,344],"also":[202],"by":[204],"constructing":[205],"map":[208],"around":[209],"each":[210,293],"point":[214],"visual":[218],"field,":[219],"fovea,":[222],"parafoveal,":[223],"perifovea":[225],"regions.":[226],"identify":[228],"motions,":[233],"total":[235],"distances":[236],"between":[237],"current":[239],"previous":[242],"points":[244],"during":[247,274],"measured":[251],"score.":[256],"motivation":[258],"that":[260,322],"related":[267],"pursuit.":[276],"Finally,":[277],"both":[278],"maps":[283],"combined":[285],"obtain":[287],"an":[288],"aggregated":[289],"score":[291],"frame":[294],"set":[297,321],"selected":[302,306],"system":[308],"default":[309],"skimming":[310],"ratio.":[311],"implemented":[316],"Office":[318],"data":[320],"contains":[323],"videos":[324],"movements":[327],"Experimental":[331],"results":[332],"confirm":[333],"superior":[335],"performance":[336],"compared":[346],"state-of-the-art":[349],"methods.":[350]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6}],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2025-10-10T00:00:00"}