{"id":"https://openalex.org/W4399147207","doi":"https://doi.org/10.1145/3634769.3634803","title":"Predictive Temporal Attention on Event-based Video Stream for Energy-efficient Situation Awareness","display_name":"Predictive Temporal Attention on Event-based Video Stream for Energy-efficient Situation Awareness","publication_year":2023,"publication_date":"2023-10-28","ids":{"openalex":"https://openalex.org/W4399147207","doi":"https://doi.org/10.1145/3634769.3634803"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3634769.3634803","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3634769.3634803","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3634769.3634803","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093932071","display_name":"Yiming Bu","orcid":"https://orcid.org/0009-0006-0504-3191"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiming Bu","raw_affiliation_strings":["EECS, Syracuse University, USA"],"affiliations":[{"raw_affiliation_string":"EECS, Syracuse University, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028586125","display_name":"Jiayang Liu","orcid":"https://orcid.org/0009-0006-5098-2040"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiayang Liu","raw_affiliation_strings":["EECS, Syracuse University, USA"],"affiliations":[{"raw_affiliation_string":"EECS, Syracuse University, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018468480","display_name":"Qinru Qiu","orcid":"https://orcid.org/0000-0003-2546-0655"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qinru Qiu","raw_affiliation_strings":["EECS, Syracuse University, USA"],"affiliations":[{"raw_affiliation_string":"EECS, Syracuse University, USA","institution_ids":["https://openalex.org/I70983195"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":67},"biblio":{"volume":null,"issue":null,"first_page":"22","last_page":"28"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9999,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9986,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.7628155},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.41239104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8024664},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.7628155},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.58452666},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5617354},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.56123734},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.528229},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.44587117},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.43551323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41795155},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.41239104},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34267378},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.25044042},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1625686},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.15738922},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09744215},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3634769.3634803","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3634769.3634803","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.08936","pdf_url":"http://arxiv.org/pdf/2402.08936","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3634769.3634803","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3634769.3634803","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.91,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":13,"referenced_works":["https://openalex.org/W1604973310","https://openalex.org/W2075218762","https://openalex.org/W2133665775","https://openalex.org/W2512653618","https://openalex.org/W2529938554","https://openalex.org/W2745933219","https://openalex.org/W2783525259","https://openalex.org/W2905051007","https://openalex.org/W3015256491","https://openalex.org/W3015879326","https://openalex.org/W3016391357","https://openalex.org/W4226051885","https://openalex.org/W4230449744"],"related_works":["https://openalex.org/W4389237622","https://openalex.org/W4387251107","https://openalex.org/W4385753159","https://openalex.org/W4283271085","https://openalex.org/W4214914769","https://openalex.org/W4200152843","https://openalex.org/W3108691306","https://openalex.org/W2986579802","https://openalex.org/W2166309310","https://openalex.org/W179829755"],"abstract_inverted_index":{"The":[0,100],"Dynamic":[1],"Vision":[2],"Sensor":[3],"(DVS)":[4],"is":[5],"an":[6,17],"innovative":[7],"technology":[8],"that":[9,126],"efficiently":[10],"captures":[11],"and":[12,51,67,86,139,142],"encodes":[13],"visual":[14,94],"information":[15],"in":[16,29,35,56,72,108,147],"event-driven":[18,24],"manner.":[19],"By":[20],"combining":[21],"it":[22,90],"with":[23],"neuromorphic":[25],"processing,":[26],"the":[27,45,49,63,83,93,109,116,127,137,140,148],"sparsity":[28],"DVS":[30],"camera":[31,50,84,138],"output":[32,85],"can":[33,130],"result":[34],"high":[36],"energy":[37],"efficiency.":[38],"However,":[39],"similar":[40],"to":[41,81,89],"many":[42],"embedded":[43],"systems,":[44],"off-chip":[46],"communication":[47,135],"between":[48,136],"processor":[52,141],"presents":[53],"a":[54,77],"bottleneck":[55],"terms":[57],"of":[58,133],"power":[59,106],"consumption.":[60],"Inspired":[61],"by":[62,119],"predictive":[64,101,128],"coding":[65],"model":[66],"expectation":[68],"suppression":[69],"phenomenon":[70],"found":[71],"human":[73],"brain,":[74],"we":[75],"propose":[76],"temporal":[78],"attention":[79,88,102,129],"mechanism":[80],"throttle":[82],"pay":[87],"only":[91,104],"when":[92],"events":[95],"cannot":[96],"be":[97],"well":[98],"predicted.":[99],"not":[103],"reduces":[105],"consumption":[107],"sensor-processor":[110],"interface":[111],"but":[112],"also":[113],"effectively":[114],"decreases":[115],"computational":[117],"workload":[118],"filtering":[120],"out":[121],"noisy":[122],"events.":[123],"We":[124],"demonstrate":[125],"reduce":[131,143],"46.7%":[132],"data":[134],"43.8%":[144],"computation":[145],"activities":[146],"processor.":[149]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4399147207","counts_by_year":[],"updated_date":"2025-01-18T16:06:46.625007","created_date":"2024-05-30"}