{"id":"https://openalex.org/W1502529275","doi":"https://doi.org/10.1109/icit.2015.7125338","title":"FPGA accelerated video-compression for cloud-based vision sensors","display_name":"FPGA accelerated video-compression for cloud-based vision sensors","publication_year":2015,"publication_date":"2015-03-01","ids":{"openalex":"https://openalex.org/W1502529275","doi":"https://doi.org/10.1109/icit.2015.7125338","mag":"1502529275"},"language":"en","primary_location":{"id":"doi:10.1109/icit.2015.7125338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit.2015.7125338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Industrial Technology (ICIT)","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/A5085567935","display_name":"Andreas Schwenk","orcid":"https://orcid.org/0000-0001-5835-2920"},"institutions":[{"id":"https://openalex.org/I102520234","display_name":"TH K\u00f6ln - University of Applied Sciences","ror":"https://ror.org/014nnvj65","country_code":"DE","type":"education","lineage":["https://openalex.org/I102520234"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Andreas Schwenk","raw_affiliation_strings":["Department of Information, Cologne University of Applied Sciences, Cologne, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Information, Cologne University of Applied Sciences, Cologne, Germany","institution_ids":["https://openalex.org/I102520234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001065674","display_name":"Lothar Thieling","orcid":null},"institutions":[{"id":"https://openalex.org/I102520234","display_name":"TH K\u00f6ln - University of Applied Sciences","ror":"https://ror.org/014nnvj65","country_code":"DE","type":"education","lineage":["https://openalex.org/I102520234"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lothar Thieling","raw_affiliation_strings":["Department of Information, Cologne University of Applied Sciences, Cologne, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Information, Cologne University of Applied Sciences, Cologne, Germany","institution_ids":["https://openalex.org/I102520234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028188257","display_name":"Georg Hartung","orcid":null},"institutions":[{"id":"https://openalex.org/I102520234","display_name":"TH K\u00f6ln - University of Applied Sciences","ror":"https://ror.org/014nnvj65","country_code":"DE","type":"education","lineage":["https://openalex.org/I102520234"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Georg Hartung","raw_affiliation_strings":["Department of Information, Cologne University of Applied Sciences, Cologne, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Information, Cologne University of Applied Sciences, Cologne, Germany","institution_ids":["https://openalex.org/I102520234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032918222","display_name":"Gregor B\u00fcchel","orcid":null},"institutions":[{"id":"https://openalex.org/I102520234","display_name":"TH K\u00f6ln - University of Applied Sciences","ror":"https://ror.org/014nnvj65","country_code":"DE","type":"education","lineage":["https://openalex.org/I102520234"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gregor Buchel","raw_affiliation_strings":["Technische Hochschule Koln, Koln, Nordrhein-Westfalen, DE"],"affiliations":[{"raw_affiliation_string":"Technische Hochschule Koln, Koln, Nordrhein-Westfalen, DE","institution_ids":["https://openalex.org/I102520234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085567935"],"corresponding_institution_ids":["https://openalex.org/I102520234"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54604536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"65","issue":null,"first_page":"1674","last_page":"1679"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998999834060669,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998999834060669,"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":0.9975000023841858,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9886999726295471,"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/computer-science","display_name":"Computer science","score":0.8354857563972473},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6535519957542419},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6169338226318359},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6081564426422119},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5881669521331787},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5861566662788391},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5822915434837341},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5677700042724609},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5604020953178406},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5152628421783447},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4923902750015259},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.42358702421188354},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.42086827754974365},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.41718152165412903},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3939438760280609},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.3465242385864258},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18469783663749695},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09101715683937073}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8354857563972473},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6535519957542419},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6169338226318359},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6081564426422119},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5881669521331787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5861566662788391},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5822915434837341},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5677700042724609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5604020953178406},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5152628421783447},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4923902750015259},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.42358702421188354},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.42086827754974365},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.41718152165412903},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3939438760280609},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.3465242385864258},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18469783663749695},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09101715683937073},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icit.2015.7125338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit.2015.7125338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W109683945","https://openalex.org/W1529455092","https://openalex.org/W1590348499","https://openalex.org/W1738124305","https://openalex.org/W1967328295","https://openalex.org/W1971985918","https://openalex.org/W2140196014","https://openalex.org/W2153443053","https://openalex.org/W2740890071","https://openalex.org/W6643244671","https://openalex.org/W6741987312"],"related_works":["https://openalex.org/W2385001686","https://openalex.org/W1861066240","https://openalex.org/W1875422203","https://openalex.org/W2377190948","https://openalex.org/W2135061558","https://openalex.org/W4221117092","https://openalex.org/W1574724839","https://openalex.org/W2096476311","https://openalex.org/W2899854151","https://openalex.org/W2406608628"],"abstract_inverted_index":{"Vision":[0],"Sensors":[1],"for":[2,47,77,145],"Cloud":[3],"Applications":[4],"have":[5],"to":[6,20,35,62,74,94,110,122],"drastically":[7],"reduce":[8],"the":[9,21,85,91,112],"amount":[10],"of":[11,82,140],"image":[12],"data":[13],"that":[14,23,50],"is":[15,72,108,134],"transferred":[16],"and":[17,40,57,65,88,102,136],"stored.":[18],"Due":[19],"fact":[22],"such":[24],"sensors":[25],"are":[26],"mostly":[27],"bulk":[28],"products,":[29],"they":[30],"must":[31],"be":[32,75],"optimized":[33],"according":[34],"their":[36,120],"performance,":[37],"price,":[38],"size":[39],"energy":[41],"consumption.":[42],"We":[43],"present":[44],"an":[45,141],"approach":[46],"video":[48,97],"compression":[49,63,66],"fulfills":[51],"these":[52],"needs":[53],"by":[54],"using":[55,99,127],"FPGAs":[56],"allows":[58],"scalability":[59],"with":[60],"respect":[61],"factor":[64],"rate.":[67],"The":[68,105,132],"underlying":[69],"new":[70],"algorithm":[71,133],"designed":[73],"generic":[76],"(a)":[78],"compressing":[79],"a":[80,95,128],"sequence":[81],"images":[83],"in":[84],"JPEG":[86],"standard":[87],"(b)":[89],"extending":[90],"base":[92],"system":[93,144],"full":[96],"encoder":[98],"reference":[100],"frames":[101],"prediction":[103],"frames.":[104],"main":[106],"idea":[107],"not":[109],"calculate":[111],"differences":[113],"between":[114,119],"consecutive":[115],"video-frames":[116],"directly,":[117],"but":[118],"spectra":[121],"eliminate":[123],"almost":[124],"equal":[125],"macroblocks":[126],"smart":[129],"thresholding":[130],"method.":[131],"implemented":[135],"evaluated":[137],"as":[138],"part":[139],"embedded":[142],"vision":[143],"room":[146],"surveillance.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}