乐胖代购免代理版

{"id":"https://openalex.org/W2045997332","doi":"https://doi.org/10.1109/icassp.2013.6638058","title":"Optical flow for compressive sensing video reconstruction","display_name":"Optical flow for compressive sensing video reconstruction","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2045997332","doi":"https://doi.org/10.1109/icassp.2013.6638058","mag":"2045997332"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638058","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5077216852","display_name":"Henry Braun","orcid":"https://orcid.org/0000-0001-7003-9822"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"funder","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Braun","raw_affiliation_strings":["SenSIP Center & Ind. Consortium, Arizona State Univ., Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"SenSIP Center & Ind. Consortium, Arizona State Univ., Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062945520","display_name":"Pavan Turaga","orcid":"https://orcid.org/0000-0002-5263-5943"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"funder","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. Turaga","raw_affiliation_strings":["SenSIP Center & Ind. Consortium, Arizona State Univ., Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"SenSIP Center & Ind. Consortium, Arizona State Univ., Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080800965","display_name":"Cihan Tepedelenlio\u011flu","orcid":"https://orcid.org/0000-0002-9180-1158"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"funder","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Tepedelenlioglu","raw_affiliation_strings":["SenSIP Center & Ind. Consortium, Arizona State Univ., Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"SenSIP Center & Ind. Consortium, Arizona State Univ., Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074371899","display_name":"Andreas Spanias","orcid":"https://orcid.org/0000-0003-0306-9348"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"funder","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Spanias","raw_affiliation_strings":["SenSIP Center & Ind. Consortium, Arizona State Univ., Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"SenSIP Center & Ind. Consortium, Arizona State Univ., Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.256,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":5,"citation_normalized_percentile":{"value":0.583849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":80,"max":81},"biblio":{"volume":null,"issue":null,"first_page":"2267","last_page":"2271"},"is_retracted":false,"is_paratext":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/T11105","display_name":"Advanced Image Processing Techniques","score":0.999,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9984,"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/optical-flow","display_name":"Optical Flow","score":0.8522266}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.8522266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7582027},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7345521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.66378534},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5875965},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5469147},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.51592577},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.49583206},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.4807372},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4464933},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.41173324},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3949742},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12233701},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638058","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.67,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":13,"referenced_works":["https://openalex.org/W1608074891","https://openalex.org/W2008303930","https://openalex.org/W2036648611","https://openalex.org/W2062747674","https://openalex.org/W2083042020","https://openalex.org/W2096681624","https://openalex.org/W2109449402","https://openalex.org/W2128659236","https://openalex.org/W2129050227","https://openalex.org/W2143701678","https://openalex.org/W2147253850","https://openalex.org/W2164034959","https://openalex.org/W2289917018"],"related_works":["https://openalex.org/W2995690499","https://openalex.org/W2896778670","https://openalex.org/W2060632806","https://openalex.org/W2051121715","https://openalex.org/W2050955821","https://openalex.org/W2030154815","https://openalex.org/W1967654336","https://openalex.org/W1579157894","https://openalex.org/W1530267862","https://openalex.org/W1494405360"],"abstract_inverted_index":{"Although":[0],"considerable":[1],"effort":[2],"has":[3],"been":[4],"devoted":[5],"to":[6,20,85],"the":[7,39,49,87,106,109],"problem":[8],"of":[9,41,89,94,108],"reconstructing":[10],"compressively":[11,34],"sensed":[12,35],"video,":[13],"no":[14],"existing":[15,112],"algorithm":[16,110],"achieves":[17],"results":[18],"comparable":[19],"commonly":[21],"available":[22],"video":[23,36],"compression":[24],"methods":[25],"such":[26,63],"as":[27,64],"H.264.":[28],"One":[29],"possible":[30],"avenue":[31],"for":[32],"improving":[33],"reconstruction":[37,75],"is":[38,77,114],"use":[40],"optical":[42,55,82],"flow":[43,56,83],"information.":[44],"Current":[45],"efforts":[46],"reported":[47],"in":[48],"literature":[50],"have":[51],"not":[52],"fully":[53,80],"utilized":[54],"information,":[57],"instead":[58],"focusing":[59],"on":[60,111],"limited":[61],"cases":[62,93],"stationary":[65],"backgrounds":[66],"with":[67],"sparse":[68],"foreground":[69],"motion.":[70],"In":[71],"this":[72],"paper,":[73],"a":[74],"method":[76],"presented":[78],"which":[79],"utilizes":[81],"information":[84],"increase":[86],"quality":[88],"reconstruction.":[90],"The":[91],"special":[92],"known":[95],"image":[96,101],"motion":[97,102],"and":[98,105],"constant":[99],"global":[100],"are":[103],"presented,":[104],"performance":[107],"datasets":[113],"evaluated.":[115]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2045997332","counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2025-04-21T21:22:18.328934","created_date":"2016-06-24"}