{"id":"https://openalex.org/W1994209021","doi":"https://doi.org/10.1109/ijcnn.2014.6889424","title":"Video attention saliency mapping using pulse coupled neural network and optical flow","display_name":"Video attention saliency mapping using pulse coupled neural network and optical flow","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1994209021","doi":"https://doi.org/10.1109/ijcnn.2014.6889424","mag":"1994209021"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","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/A5030007666","display_name":"Qiling Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiling Ni","raw_affiliation_strings":["Department of Electronic Engineering, Fudan University, Shanghai, China","Dept. of Electron. Eng., Fudan Univ., Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Dept. of Electron. Eng., Fudan Univ., Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000141628","display_name":"Xiaodong Gu","orcid":"https://orcid.org/0000-0002-7096-1830"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Gu","raw_affiliation_strings":["Department of Electronic Engineering, Fudan University, Shanghai, China","Dept. of Electron. Eng., Fudan Univ., Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Dept. of Electron. Eng., Fudan Univ., Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030007666"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.4877,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67558722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":null,"first_page":"340","last_page":"344"},"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/optical-flow","display_name":"Optical flow","score":0.7069301605224609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6737576723098755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6392525434494019},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6101824045181274},{"id":"https://openalex.org/keywords/hypercomplex-number","display_name":"Hypercomplex number","score":0.544514000415802},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5111573338508606},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4601368010044098},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.42833125591278076},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4156426787376404},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4111616611480713},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4058483839035034},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39290106296539307},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19156715273857117},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1877537965774536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15090835094451904}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.7069301605224609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6737576723098755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6392525434494019},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6101824045181274},{"id":"https://openalex.org/C203249530","wikidata":"https://www.wikidata.org/wiki/Q837414","display_name":"Hypercomplex number","level":3,"score":0.544514000415802},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5111573338508606},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4601368010044098},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.42833125591278076},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4156426787376404},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4111616611480713},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4058483839035034},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39290106296539307},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19156715273857117},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1877537965774536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15090835094451904},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"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/C200127275","wikidata":"https://www.wikidata.org/wiki/Q173853","display_name":"Quaternion","level":2,"score":0.0},{"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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1541155567","https://openalex.org/W2014788144","https://openalex.org/W2030503833","https://openalex.org/W2037730376","https://openalex.org/W2040691750","https://openalex.org/W2058558325","https://openalex.org/W2067445198","https://openalex.org/W2093353037","https://openalex.org/W2098702446","https://openalex.org/W2156325805","https://openalex.org/W2164495475","https://openalex.org/W2170869852","https://openalex.org/W6632305225","https://openalex.org/W6685314622"],"related_works":["https://openalex.org/W2044767466","https://openalex.org/W2800395957","https://openalex.org/W2026218351","https://openalex.org/W3185621658","https://openalex.org/W2507833514","https://openalex.org/W4388067726","https://openalex.org/W4224325206","https://openalex.org/W2916518000","https://openalex.org/W1578004053","https://openalex.org/W2163164795"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,52,139],"biologically":[4],"inspired":[5],"video":[6,28],"attention":[7,40,46,77],"saliency":[8,58,78,88,105,119,130],"detector":[9],"by":[10],"combining":[11],"optical":[12,36],"flow":[13,37],"and":[14,29,35,64,96,107],"topological":[15,33,94],"properties.":[16],"In":[17],"this":[18],"paper,":[19],"we":[20,73],"expound":[21],"how":[22,30],"to":[23,31,116],"utilize":[24],"feature":[25],"informations":[26],"of":[27,54,56,138],"use":[32],"property":[34],"based":[38],"on":[39,86],"detection":[41,79],"for":[42,75],"target":[43],"tracking.":[44],"Visual":[45],"used":[47],"in":[48,159],"our":[49],"model":[50,67,150],"is":[51],"consequence":[53],"tuning":[55],"some":[57],"features":[59,106],"such":[60,156],"as":[61,157],"color,":[62],"shape":[63],"motion.":[65],"The":[66,100],"(OFTPA-Optical":[68],"Flow":[69],"Topological":[70],"Properties":[71],"Attention)":[72],"proposed":[74],"motion":[76],"includes":[80],"two":[81],"stages.":[82],"First":[83],"stage":[84],"focuses":[85],"extracting":[87],"features,":[89],"including":[90],"optical-flow":[91,114],"velocity":[92],"field,":[93,115],"properties":[95],"Intensity,":[97],"from":[98,113,134],"video.":[99],"second":[101],"integrates":[102],"the":[103,124,135,148],"traditional":[104],"an":[108],"extra":[109],"position":[110],"prediction":[111],"calculated":[112],"form":[117],"bottom-up":[118],"maps":[120,131],"which":[121],"indicate":[122],"where":[123],"object":[125],"candidates":[126],"are":[127,132],"located.":[128],"Spatiotemporal":[129],"obtained":[133],"phase":[136],"spectrum":[137],"video's":[140],"hypercomplex":[141],"Fourier":[142],"transform.":[143],"Experimental":[144],"results":[145],"show":[146],"that":[147],"OFTPA":[149],"takes":[151],"advantage":[152],"over":[153],"other":[154],"models":[155],"PQFT":[158],"complex":[160],"background.":[161]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}