{"id":"https://openalex.org/W4289825123","doi":"https://doi.org/10.1109/lsp.2022.3196599","title":"Lossless Compression of Event Camera Frames","display_name":"Lossless Compression of Event Camera Frames","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4289825123","doi":"https://doi.org/10.1109/lsp.2022.3196599"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2022.3196599","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3196599","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5060196436","display_name":"Ionut Schiopu","orcid":"https://orcid.org/0000-0003-2202-1163"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ionut Schiopu","raw_affiliation_strings":["Huawei Technologies Oy (Finland) Company Ltd, Tampere Handset Camera Innovation Lab, Tampere, Finland"],"raw_orcid":"https://orcid.org/0000-0003-2202-1163","affiliations":[{"raw_affiliation_string":"Huawei Technologies Oy (Finland) Company Ltd, Tampere Handset Camera Innovation Lab, Tampere, Finland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086713730","display_name":"Radu Ciprian Bilcu","orcid":"https://orcid.org/0000-0001-7293-4353"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Radu Ciprian Bilcu","raw_affiliation_strings":["Huawei Technologies Oy (Finland) Company Ltd, Tampere Handset Camera Innovation Lab, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Oy (Finland) Company Ltd, Tampere Handset Camera Innovation Lab, Tampere, Finland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8622,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.91176658,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"29","issue":null,"first_page":"1779","last_page":"1783"},"is_retracted":false,"is_paratext":false,"is_xpac":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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7959601283073425},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.7196195721626282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6084779500961304},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.6033251285552979},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5927110314369202},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5457394123077393},{"id":"https://openalex.org/keywords/adaptive-coding","display_name":"Adaptive coding","score":0.43397632241249084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3687708079814911}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7959601283073425},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7196195721626282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6084779500961304},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.6033251285552979},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5927110314369202},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5457394123077393},{"id":"https://openalex.org/C57890076","wikidata":"https://www.wikidata.org/wiki/Q4680725","display_name":"Adaptive coding","level":4,"score":0.43397632241249084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3687708079814911},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2022.3196599","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3196599","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W206948248","https://openalex.org/W2096445898","https://openalex.org/W2146395539","https://openalex.org/W2518435514","https://openalex.org/W2883647873","https://openalex.org/W2919630283","https://openalex.org/W3040838455","https://openalex.org/W3041708464","https://openalex.org/W3135530072","https://openalex.org/W3139658937","https://openalex.org/W3193754362"],"related_works":["https://openalex.org/W1995837572","https://openalex.org/W2011465253","https://openalex.org/W163973223","https://openalex.org/W2298629786","https://openalex.org/W1513042817","https://openalex.org/W2556577032","https://openalex.org/W2155161695","https://openalex.org/W1589826289","https://openalex.org/W2164077395","https://openalex.org/W4294811293"],"abstract_inverted_index":{"The":[0,14,71,125],"letter":[1],"introduces":[2],"an":[3,19,29,55,141],"efficient":[4,35],"context-based":[5],"lossless":[6,155],"image":[7,58,156],"codec":[8,73],"for":[9,100,128],"encoding":[10],"event":[11,20,40,56,90,182,187],"camera":[12,21],"frames.":[13],"asynchronous":[15],"events":[16,99,164],"acquired":[17],"by":[18,28,167,185],"in":[22,92],"a":[23,52,65,79,169],"spatio-temporal":[24],"neighborhood":[25],"are":[26,49,116,165],"collected":[27,166],"Event":[30],"Frame":[31],"(EF).":[32],"A":[33],"more":[34],"way":[36],"to":[37,46,118,174],"store":[38],"the":[39,61,68,75,84,93,96,137,180,186],"data":[41],"is":[42,176],"introduced,":[43],"where":[44,86],"up":[45,173],"eight":[47],"EFs":[48,129],"represented":[50],"as":[51],"pair":[53],"of":[54,98,123,172],"map":[57],"(EMI),":[59],"containing":[60,67],"spatial":[62],"information,":[63],"and":[64,104,112,151,153,160],"vector,":[66],"polarity":[69],"information.":[70],"proposed":[72,138],"encodes":[74],"EMI":[76],"using:":[77],"<i>(i)</i>":[78],"binary":[80],"map,":[81],"which":[82],"signals":[83],"positions":[85],"at":[87,131],"least":[88],"one":[89],"occurs":[91],"EFs;":[94],"<i>(ii)</i>":[95],"number":[97],"each":[101],"signalled":[102],"position;":[103],"<i>(iii)</i>":[105],"their":[106],"EF":[107],"index.":[108],"Template":[109],"context":[110],"modelling":[111,115],"adaptive":[113],"Markov":[114],"employed":[117],"encode":[119],"these":[120],"three":[121],"types":[122],"data.":[124],"experimental":[126],"evaluation":[127],"generated":[130],"different":[132],"time":[133],"intervals":[134],"demonstrates":[135],"that":[136],"method":[139],"achieves":[140],"improved":[142],"performance":[143],"compared":[144,178],"with":[145,179],"both":[146],"video":[147],"coding":[148,157],"standards,":[149],"HEVC":[150],"VVC,":[152],"state-of-the-art":[154],"methods,":[158],"CALIC":[159],"FLIF.":[161],"When":[162],"all":[163],"EFs,":[168],"relative":[170],"compression":[171],"5.8":[175],"achieved":[177],"raw":[181],"encapsulation":[183],"provided":[184],"camera.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
