{"id":"https://openalex.org/W2038653288","doi":"https://doi.org/10.1145/1655925.1656141","title":"Automatic focusing attention for a stereo pair of image sequence","display_name":"Automatic focusing attention for a stereo pair of image sequence","publication_year":2009,"publication_date":"2009-11-24","ids":{"openalex":"https://openalex.org/W2038653288","doi":"https://doi.org/10.1145/1655925.1656141","mag":"2038653288"},"language":"en","primary_location":{"id":"doi:10.1145/1655925.1656141","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1655925.1656141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human","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/A5007199257","display_name":"Min\u2010Chul Park","orcid":"https://orcid.org/0000-0002-8575-085X"},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Min-Chul Park","raw_affiliation_strings":["Korea Institute of Science and Technology, Seoul, Korea","Korea Institute of Science and Technology , Seoul , Korea"],"affiliations":[{"raw_affiliation_string":"Korea Institute of Science and Technology, Seoul, Korea","institution_ids":["https://openalex.org/I58716616"]},{"raw_affiliation_string":"Korea Institute of Science and Technology , Seoul , Korea","institution_ids":["https://openalex.org/I58716616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088655779","display_name":"Kyung Joo Cheoi","orcid":"https://orcid.org/0000-0003-2076-9119"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyung Joo Cheoi","raw_affiliation_strings":["Chungbuk National University, Chongju, Korea","Chungbuk National University, Chongju, Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"Chungbuk National University, Chongju, Korea","institution_ids":["https://openalex.org/I163753206"]},{"raw_affiliation_string":"Chungbuk National University, Chongju, Korea#TAB#","institution_ids":["https://openalex.org/I163753206"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007199257"],"corresponding_institution_ids":["https://openalex.org/I58716616"],"apc_list":null,"apc_paid":null,"fwci":0.3236,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58576347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1185","last_page":"1190"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9983000159263611,"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":0.9983000159263611,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9980000257492065,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.843511700630188},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7946454286575317},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.624778151512146},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.616473913192749},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5630607604980469},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.5206774473190308},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4665866494178772},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.428394079208374},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.4185140132904053},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3923320770263672},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2322574257850647}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.843511700630188},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7946454286575317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.624778151512146},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.616473913192749},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5630607604980469},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.5206774473190308},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4665866494178772},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.428394079208374},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4185140132904053},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3923320770263672},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2322574257850647},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1655925.1656141","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1655925.1656141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W782646747","https://openalex.org/W1529864534","https://openalex.org/W1971534008","https://openalex.org/W2003745495","https://openalex.org/W2037801258","https://openalex.org/W2128272608","https://openalex.org/W2149095485","https://openalex.org/W4235904500"],"related_works":["https://openalex.org/W1501297619","https://openalex.org/W2053820737","https://openalex.org/W1988727984","https://openalex.org/W1484667368","https://openalex.org/W2026674073","https://openalex.org/W1978569796","https://openalex.org/W2012241496","https://openalex.org/W13825435","https://openalex.org/W2154342456","https://openalex.org/W2105413810"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,11,88,103],"new":[4,23],"method":[5,21],"of":[6,14,35,39,73,91,97,105,114,120,127,143,150,157],"automatic":[7],"focusing":[8],"attention":[9],"for":[10,32],"stereo":[12,89,148],"pairs":[13,149],"image":[15,151],"sequence":[16],"is":[17,22,45,59,93],"proposed.":[18],"The":[19,112],"proposed":[20],"in":[24,53,109],"that":[25],"it":[26],"utilizes":[27],"motion":[28,49,64,68,115,180],"and":[29,50,81,118],"depth":[30,51,177],"information":[31],"the":[33,77,83,121,128,166],"purpose":[34],"detecting":[36],"FOA":[37],"(focus":[38],"attention).":[40],"Typical":[41],"feature":[42,78,107,133],"integration":[43,79],"model":[44,58,139],"expanded":[46],"to":[47,61,63,76,101],"incorporate":[48],"stimulus":[52,65],"our":[54,110,138],"suggested":[55],"model.":[56],"Suggested":[57],"able":[60],"respond":[62],"by":[66],"employing":[67],"fields":[69],"map":[70,85,117],"as":[71,95,147],"one":[72,96],"temporal":[74],"features":[75,100,158],"model,":[80],"also":[82],"disparity":[84],"obtained":[86],"from":[87,125],"pair":[90],"images":[92,145,167],"exploited":[94],"spatial":[98,132],"visual":[99],"form":[102],"set":[104],"topographic":[106],"maps":[108],"approach.":[111],"analysis":[113],"field":[116],"incorporation":[119],"result":[122],"are":[123],"distinct":[124],"some":[126],"previous":[129],"studies":[130],"on":[131],"integration.":[134],"We":[135],"have":[136,154,169,171,175],"tested":[137],"with":[140],"various":[141],"kinds":[142],"real":[144],"such":[146],"sequences":[152],"which":[153,168],"all":[155],"kind":[156],"(color,":[159],"intensity,":[160,173],"orientation,":[161],"form,":[162],"depth,":[163],"motion),":[164],"or":[165,174,178],"just":[170],"only":[172],"no":[176,179],"information.":[181]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
