{"id":"https://openalex.org/W2943092876","doi":"https://doi.org/10.1109/iscas.2019.8702200","title":"Live Demonstration: Real-Time Implementation of Proto-Object Based Visual Saliency Model","display_name":"Live Demonstration: Real-Time Implementation of Proto-Object Based Visual Saliency Model","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2943092876","doi":"https://doi.org/10.1109/iscas.2019.8702200","mag":"2943092876"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2019.8702200","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":false},"type":"article","type_crossref":"proceedings-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/A5102999642","display_name":"Sathyaprakash Narayanan","orcid":"https://orcid.org/0000-0002-5490-4596"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"funder","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sathyaprakash Narayanan","raw_affiliation_strings":["Indian Institute of Science Bangalore, Karnataka"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science Bangalore, Karnataka","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027404869","display_name":"Yeshwanth Bethi","orcid":"https://orcid.org/0000-0002-0713-0903"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"funder","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yeshwanth Bethi","raw_affiliation_strings":["Indian Institute of Science Bangalore, Karnataka"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science Bangalore, Karnataka","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030680965","display_name":"Jamal Lottier","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"funder","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jamal Lottier","raw_affiliation_strings":["Johns Hopkins University, Baltimore"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016761623","display_name":"Ernst Niebur","orcid":"https://orcid.org/0000-0002-2815-9262"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"funder","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ernst Niebur","raw_affiliation_strings":["Johns Hopkins University, Baltimore"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037936459","display_name":"Ralph Etienne\u2010Cummings","orcid":"https://orcid.org/0000-0003-4445-973X"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"funder","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ralph Etienne-Cummings","raw_affiliation_strings":["Johns Hopkins University, Baltimore"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085211717","display_name":"Chetan Singh Thakur","orcid":"https://orcid.org/0000-0002-1240-6214"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"funder","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chetan Singh Thakur","raw_affiliation_strings":["Indian Institute of Science Bangalore, Karnataka"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science Bangalore, Karnataka","institution_ids":["https://openalex.org/I59270414"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.11,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":2,"citation_normalized_percentile":{"value":0.206077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":69,"max":74},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9999,"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":0.9999,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9992,"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"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9882,"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/python","display_name":"Python","score":0.802313},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.77563304}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.84730446},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.8429023},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.802313},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.77563304},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.46690303},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.41280153},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41197604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39503026},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3363317},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3268333},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1662336},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11720052},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2019.8702200","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.41}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":1,"referenced_works":["https://openalex.org/W2091344378"],"related_works":["https://openalex.org/W4389237622","https://openalex.org/W3213381848","https://openalex.org/W3108691306","https://openalex.org/W2986579802","https://openalex.org/W2392023973","https://openalex.org/W2166309310","https://openalex.org/W2096672917","https://openalex.org/W2017587301","https://openalex.org/W2012954338","https://openalex.org/W2005148983"],"abstract_inverted_index":{"We":[0,82],"will":[1],"demonstrate":[2],"a":[3,7,48,113,128,185],"real-time":[4,30],"implementation":[5,39,66],"of":[6,44,47,51],"protoobject":[8],"based":[9],"neuromorphic":[10],"visual":[11],"saliency":[12,21],"model":[13,86],"[1]":[14],"on":[15,56,87,106],"an":[16,88,107],"embedded":[17],"processing":[18,80],"board.":[19],"Visual":[20],"models":[22],"are":[23,125],"difficult":[24],"to":[25,33,145],"implement":[26],"in":[27,164],"hardware":[28],"for":[29,54,148],"applications":[31],"due":[32],"their":[34],"computational":[35],"complexity.":[36],"The":[37,110,139,160],"conventional":[38],"is":[40,153,162],"not":[41],"optimal":[42],"because":[43],"the":[45,68,85,123,143,146,151,157,177,182],"requirement":[46],"large":[49],"number":[50],"convolution":[52],"operations":[53],"filtering":[55],"several":[57,171],"feature":[58],"channels":[59],"across":[60],"multiple":[61],"image":[62],"pyramids.":[63],"Our":[64],"current":[65],"considers":[67],"dynamic":[69],"temporal":[70],"motion":[71],"change":[72],"by":[73,78],"convoluting":[74],"along":[75],"time":[76],"efficiently":[77],"parallelly":[79],"them.":[81],"have":[83],"implemented":[84],"NVIDIA":[89,97,102],"Jetson":[90],"TX1":[91],"board":[92,111],"(Fig.":[93],"1),":[94],"which":[95,122],"has":[96,112],"Maxwell":[98],"GPU":[99],"with":[100,134],"256":[101],"CUDA":[103],"Cores,":[104],"hosted":[105],"Ubuntu":[108],"environment.":[109],"5":[114],"MP":[115],"fixed":[116],"focus":[117],"MIPI":[118],"CSI":[119],"camera":[120,140],"through":[121,156],"frames":[124,144],"fetched":[126],"using":[127],"Quad-core":[129],"ARM":[130],"Cortex-A57":[131],"MPCore":[132],"Processor":[133],"4":[135],"GB":[136],"LPDDR4":[137],"Memory.":[138],"module":[141],"fetches":[142],"application":[147,161],"processing,":[149],"and":[150,167,169],"result":[152],"then":[154],"displayed":[155],"HDMI":[158],"port.":[159],"written":[163],"Tensorflow,":[165],"Cuda,":[166],"Python":[168,172],"uses":[170],"libraries.":[173],"For":[174],"further":[175],"analysis,":[176],"user":[178],"can":[179],"also":[180],"save":[181],"output":[183],"onto":[184],"file.":[186]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2943092876","counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2025-03-19T15:48:54.395222","created_date":"2019-05-09"}