{"id":"https://openalex.org/W2023854544","doi":"https://doi.org/10.1109/icassp.2010.5495276","title":"A l1-norm preserving motion-compensated transform for sparse approximation of image sequences","display_name":"A l1-norm preserving motion-compensated transform for sparse approximation of image sequences","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2023854544","doi":"https://doi.org/10.1109/icassp.2010.5495276","mag":"2023854544"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5495276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5043892997","display_name":"Markus Flierl","orcid":"https://orcid.org/0000-0002-7807-5681"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Markus Flierl","raw_affiliation_strings":["ACCESS Linnaeus Center, School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden","[ACCESS Linnaeus Center, School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ACCESS Linnaeus Center, School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"[ACCESS Linnaeus Center, School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden]","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5043892997"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15072974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"902","last_page":"905"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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/norm","display_name":"Norm (philosophy)","score":0.6645687818527222},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42888501286506653},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41446876525878906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.412672758102417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40404534339904785},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.35595306754112244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3531157374382019}],"concepts":[{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.6645687818527222},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42888501286506653},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41446876525878906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.412672758102417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40404534339904785},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.35595306754112244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3531157374382019},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2010.5495276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2062747674","https://openalex.org/W2122548617","https://openalex.org/W2123966662","https://openalex.org/W2145096794","https://openalex.org/W2150258394","https://openalex.org/W6820645939"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2544423928","https://openalex.org/W2052122378","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2989452537","https://openalex.org/W4313731559"],"abstract_inverted_index":{"This":[0],"paper":[1],"discusses":[2],"an":[3],"adaptive":[4],"non-linear":[5,65],"transform":[6,66],"for":[7,19,67],"image":[8,49],"sequences":[9,50],"that":[10,72,79,94,108,123],"aims":[11],"to":[12,59,107],"generate":[13],"a":[14,27,35,38,63,68,98],"l1-norm":[15],"preserving":[16,88],"sparse":[17,23,39],"approximation":[18,24],"efficient":[20],"coding.":[21],"Most":[22],"problems":[25],"employ":[26],"linear":[28,52,111,126],"model":[29],"where":[30,51],"images":[31],"are":[32,54],"represented":[33],"by":[34],"basis":[36],"and":[37,75,78],"set":[40],"of":[41,55,70,83,101,109,116,124],"coefficients.":[42],"In":[43],"this":[44],"work,":[45],"however,":[46],"we":[47,95],"consider":[48],"measurements":[53],"limited":[56],"use":[57],"due":[58],"motion.":[60],"We":[61,92],"present":[62],"motion-adaptive":[64,110,125],"group":[69],"pictures":[71],"outputs":[73],"common":[74],"detail":[76,85,103],"coefficients":[77,86,104,119],"minimizes":[80],"the":[81,84,89,102,114],"l1norm":[82,100],"while":[87],"overall":[90],"l1norm.":[91],"demonstrate":[93],"can":[96],"achieve":[97],"smaller":[99],"when":[105],"compared":[106],"measurements.":[112,127],"Further,":[113],"decay":[115],"normalized":[117],"absolute":[118],"is":[120],"faster":[121],"than":[122]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
