{"id":"https://openalex.org/W2036343640","doi":"https://doi.org/10.1145/2462456.2483968","title":"Energy proportional image sensors for continuous mobile vision","display_name":"Energy proportional image sensors for continuous mobile vision","publication_year":2013,"publication_date":"2013-06-25","ids":{"openalex":"https://openalex.org/W2036343640","doi":"https://doi.org/10.1145/2462456.2483968","mag":"2036343640"},"language":"en","primary_location":{"id":"doi:10.1145/2462456.2483968","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2462456.2483968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceeding of the 11th annual international conference on Mobile systems, applications, and services","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/A5030811753","display_name":"Robert LiKamWa","orcid":"https://orcid.org/0000-0002-6409-6131"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Robert LiKamWa","raw_affiliation_strings":["Rice University, Houston, TX, USA","Rice Univ., Houston, TX, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Rice Univ., Houston, TX, USA#TAB#","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112697656","display_name":"Bodhi Priyantha","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bodhi Priyantha","raw_affiliation_strings":["Microsoft Research Redmond, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Redmond, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030096283","display_name":"Matthai Philipose","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthai Philipose","raw_affiliation_strings":["Microsoft Research Redmond, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Redmond, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108086354","display_name":"Lin Zhong","orcid":"https://orcid.org/0000-0002-6613-7718"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lin Zhong","raw_affiliation_strings":["Rice University, Houston, TX, USA","Rice Univ., Houston, TX, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Rice Univ., Houston, TX, USA#TAB#","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032459671","display_name":"Paramvir Bahl","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paramvir Bahl","raw_affiliation_strings":["Microsoft Research Redmond, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Redmond, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5030811753"],"corresponding_institution_ids":["https://openalex.org/I74775410"],"apc_list":null,"apc_paid":null,"fwci":0.2365,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60143617,"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":"467","last_page":"468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","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/T11992","display_name":"CCD and CMOS Imaging Sensors","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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9865000247955322,"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/frame-rate","display_name":"Frame rate","score":0.7713932394981384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7123420238494873},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.6417738795280457},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.6287062168121338},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5972018837928772},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5599774718284607},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.556182324886322},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5448564887046814},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.51971036195755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.501187801361084},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4705398678779602},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4452383816242218},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.43006646633148193},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.35010433197021484},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16358724236488342},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.14402523636817932},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1393164098262787}],"concepts":[{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.7713932394981384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7123420238494873},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.6417738795280457},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.6287062168121338},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5972018837928772},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5599774718284607},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.556182324886322},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5448564887046814},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.51971036195755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.501187801361084},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4705398678779602},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4452383816242218},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.43006646633148193},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.35010433197021484},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16358724236488342},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.14402523636817932},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1393164098262787},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2462456.2483968","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2462456.2483968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceeding of the 11th annual international conference on Mobile systems, applications, and services","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W594546823","https://openalex.org/W1517606245"],"related_works":["https://openalex.org/W2044092692","https://openalex.org/W2614621130","https://openalex.org/W4289655544","https://openalex.org/W2944239605","https://openalex.org/W2547665164","https://openalex.org/W3103111272","https://openalex.org/W1873415836","https://openalex.org/W4200290804","https://openalex.org/W2139783875","https://openalex.org/W4312469487"],"abstract_inverted_index":{"A":[0],"hurdle":[1],"to":[2,128],"frequently":[3],"performing":[4],"mobile":[5,141],"computer":[6,105],"vision":[7,106,142],"tasks":[8],"is":[9],"the":[10,34,39,82],"high":[11,48,51,126,130],"energy":[12,24,43,58,103,121,127],"cost":[13],"of":[14,42],"image":[15,20,35,83],"sensing.":[16],"In":[17],"particular,":[18],"modern":[19],"sensors":[21,97],"are":[22],"not":[23],"proportional;":[25],"for":[26,111],"low":[27,30,70,116,120,138],"resolution":[28,117,131],"and":[29,50],"frame":[31,52],"rate":[32],"capture,":[33],"sensor":[36,84],"consumes":[37],"almost":[38],"same":[40],"amount":[41],"as":[44],"it":[45],"does":[46],"at":[47],"resolutions":[49],"rates.":[53],"We":[54],"reveal":[55],"two":[56],"system-level":[57],"proportional":[59],"mechanisms:":[60],"(i)":[61],"using":[62,125],"an":[63],"optimal":[64],"pixel":[65],"clock":[66],"frequency;":[67],"(ii)":[68],"entering":[69],"power":[71,112,139],"standby":[72],"mode":[73],"between":[74],"frames.":[75,132],"These":[76],"techniques":[77],"can":[78,92,108],"be":[79,93,109],"implemented":[80],"by":[81,95],"driver":[85],"with":[86,98,119],"minimal":[87],"hardware":[88,100],"adjustment.":[89],"Further":[90],"improvements":[91],"made":[94],"designing":[96],"heterogeneous":[99],"architectures.":[101],"With":[102],"proportionality,":[104],"frameworks":[107],"optimized":[110],"consumption,":[113],"continuously":[114],"requesting":[115],"frames":[118],"while":[122],"only":[123],"occasionally":[124],"request":[129],"This":[133],"will":[134],"in":[135],"turn":[136],"enable":[137],"continuous":[140],"applications.":[143]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}