{"id":"https://openalex.org/W3015357179","doi":"https://doi.org/10.1109/kst48564.2020.9059527","title":"Improved Adaptive Spectrum Scale-Space in Frequency Domain for Saliency Detection","display_name":"Improved Adaptive Spectrum Scale-Space in Frequency Domain for Saliency Detection","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3015357179","doi":"https://doi.org/10.1109/kst48564.2020.9059527","mag":"3015357179"},"language":"en","primary_location":{"id":"doi:10.1109/kst48564.2020.9059527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst48564.2020.9059527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 12th International Conference on Knowledge and Smart Technology (KST)","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/A5041972005","display_name":"Taravichet Titijaroonroj","orcid":"https://orcid.org/0000-0001-5649-7050"},"institutions":[{"id":"https://openalex.org/I91538806","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62","country_code":"TH","type":"education","lineage":["https://openalex.org/I91538806"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Taravichet Titijaroonroj","raw_affiliation_strings":["Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, THAILAND"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, THAILAND","institution_ids":["https://openalex.org/I91538806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013269388","display_name":"Jenjira Jaemsiri","orcid":null},"institutions":[{"id":"https://openalex.org/I66200439","display_name":"Naresuan University","ror":"https://ror.org/03e2qe334","country_code":"TH","type":"education","lineage":["https://openalex.org/I66200439"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Jenjira Jaemsiri","raw_affiliation_strings":["Department of Computer Science and Information Technology, Faculty of Science, Naresuan University, Phitsanulok, THAILAND"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, Faculty of Science, Naresuan University, Phitsanulok, THAILAND","institution_ids":["https://openalex.org/I66200439"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029698893","display_name":"Jaratsri Rungrattanaubol","orcid":null},"institutions":[{"id":"https://openalex.org/I91538806","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62","country_code":"TH","type":"education","lineage":["https://openalex.org/I91538806"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Jaratsri Rungrattanaubol","raw_affiliation_strings":["Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, THAILAND"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, THAILAND","institution_ids":["https://openalex.org/I91538806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041972005"],"corresponding_institution_ids":["https://openalex.org/I91538806"],"apc_list":null,"apc_paid":null,"fwci":0.0981,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37365498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"34","issue":null,"first_page":"97","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T11165","display_name":"Image and Video Quality Assessment","score":0.9857000112533569,"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7547914385795593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6509891748428345},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6274720430374146},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6120044589042664},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6024120450019836},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.5611032247543335},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.53279048204422},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5058283805847168},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.49921321868896484},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45709744095802307},{"id":"https://openalex.org/keywords/gaussian-filter","display_name":"Gaussian filter","score":0.4563700258731842},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43123167753219604},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.42133674025535583},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.326754629611969},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30735477805137634}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7547914385795593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6509891748428345},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6274720430374146},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6120044589042664},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6024120450019836},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.5611032247543335},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.53279048204422},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5058283805847168},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.49921321868896484},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45709744095802307},{"id":"https://openalex.org/C65892221","wikidata":"https://www.wikidata.org/wiki/Q1113935","display_name":"Gaussian filter","level":3,"score":0.4563700258731842},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43123167753219604},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.42133674025535583},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.326754629611969},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30735477805137634},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/kst48564.2020.9059527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst48564.2020.9059527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 12th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-article"},{"id":"mag:3038128169","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002265885242767","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1538842650","https://openalex.org/W2037328649","https://openalex.org/W2055180303","https://openalex.org/W2100470808","https://openalex.org/W2128272608","https://openalex.org/W2133589685","https://openalex.org/W2146103513","https://openalex.org/W2152233525","https://openalex.org/W2246712767","https://openalex.org/W2979552803"],"related_works":["https://openalex.org/W1655795019","https://openalex.org/W2028896475","https://openalex.org/W3153082147","https://openalex.org/W2899689856","https://openalex.org/W2968833425","https://openalex.org/W2082216369","https://openalex.org/W2150382074","https://openalex.org/W2390727152","https://openalex.org/W2000042884","https://openalex.org/W2385373070"],"abstract_inverted_index":{"Saliency":[0],"detection":[1,61],"is":[2,14,48,106,124],"a":[3],"process":[4,62],"to":[5,38,42,50,108,114],"find":[6],"the":[7,11,17,44,59,65,75,91,103,110,116,120,127,130,138,143,152,156,161],"significant":[8],"region":[9],"on":[10,57,99,147],"images,":[12],"which":[13,47],"popular":[15],"in":[16,27,30],"image":[18],"processing":[19],"area.":[20],"It":[21],"has":[22],"been":[23],"extended":[24],"and":[25,89,132,170],"used":[26,107],"many":[28],"applications":[29],"computer":[31],"vision":[32],"systems.":[33],"Many":[34],"researches":[35],"have":[36],"attempted":[37],"propose":[39],"effective":[40],"model":[41],"detect":[43],"saliency":[45,60,95,117,122],"area":[46],"corresponding":[49],"human":[51],"perception.":[52],"Therefore,":[53],"this":[54],"research":[55],"focuses":[56],"improving":[58],"by":[63,136],"proposing":[64],"improved":[66],"adaptive":[67],"spectrum":[68,113],"scale-space":[69],"(IASSS).":[70],"The":[71],"main":[72],"contributions":[73],"of":[74,129,155],"proposed":[76,157],"method":[77,93,159],"include":[78],"(i)":[79],"scale-and-space":[80],"Gaussian":[81],"filter":[82,105],"(AS":[83],"<sup":[84],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[85],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[86],"G":[87],"filter)":[88],"(ii)":[90],"new":[92],"for":[94],"map":[96,123],"selection":[97],"based":[98,146],"local":[100,139],"entropy.":[101],"Firstly,":[102],"AS2G":[104],"suppress":[109],"non-saliency":[111],"amplitude":[112],"extract":[115],"map.":[118],"Then,":[119,142],"best":[121],"selected":[125],"from":[126],"results":[128,145],"RGB":[131],"Lab":[133],"color":[134],"images":[135,149],"using":[137],"entropy":[140],"criteria.":[141],"experimental":[144],"235":[148],"show":[150],"that":[151],"overall":[153],"performance":[154],"IASSS":[158],"outperforms":[160],"baseline":[162],"methods":[163],"including":[164],"Itti,":[165],"SR,":[166],"SUN,":[167],"SAL,":[168],"HFT,":[169],"MSS":[171],"methods.":[172]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
