{"id":"https://openalex.org/W2791770892","doi":"https://doi.org/10.1109/vcip.2017.8305019","title":"Dictionary learning based high frequency inter-layer prediction for scalable HEVC","display_name":"Dictionary learning based high frequency inter-layer prediction for scalable HEVC","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2791770892","doi":"https://doi.org/10.1109/vcip.2017.8305019","mag":"2791770892"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2017.8305019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","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/A5030066648","display_name":"Jens Schneider","orcid":"https://orcid.org/0000-0002-0546-2816"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jens Schneider","raw_affiliation_strings":["Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055441030","display_name":"Johannes Sauer","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Johannes Sauer","raw_affiliation_strings":["Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020321560","display_name":"M Wien","orcid":"https://orcid.org/0000-0002-8724-2752"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mathias Wien","raw_affiliation_strings":["Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030066648"],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":0.091,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.51111713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing 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/T11105","display_name":"Advanced Image Processing 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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9987999796867371,"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":0.7591646909713745},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7438282370567322},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6373671889305115},{"id":"https://openalex.org/keywords/reference-software","display_name":"Reference software","score":0.5427470803260803},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4470479488372803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4365997612476349},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41440027952194214},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.3889092206954956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33764681220054626},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3246012032032013},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10796481370925903},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08637788891792297}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7591646909713745},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7438282370567322},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6373671889305115},{"id":"https://openalex.org/C2776493296","wikidata":"https://www.wikidata.org/wiki/Q7307150","display_name":"Reference software","level":3,"score":0.5427470803260803},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4470479488372803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4365997612476349},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41440027952194214},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.3889092206954956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33764681220054626},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3246012032032013},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10796481370925903},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08637788891792297},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2017.8305019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1791560514","https://openalex.org/W2005876975","https://openalex.org/W2010718873","https://openalex.org/W2030043874","https://openalex.org/W2088254198","https://openalex.org/W2121058967","https://openalex.org/W2161516371","https://openalex.org/W2979673094","https://openalex.org/W4235713725","https://openalex.org/W6638194035","https://openalex.org/W6657823080","https://openalex.org/W6683660953"],"related_works":["https://openalex.org/W1982968273","https://openalex.org/W2028369661","https://openalex.org/W2166218295","https://openalex.org/W1967570903","https://openalex.org/W2998078884","https://openalex.org/W3114916061","https://openalex.org/W2271827173","https://openalex.org/W2272138664","https://openalex.org/W2940916484","https://openalex.org/W2899013327"],"abstract_inverted_index":{"Image":[0],"scale-up":[1,70],"is":[2,87],"a":[3,34],"crucial":[4],"task":[5],"in":[6,42,83,104],"resolution":[7],"varying":[8],"scalable":[9,84,101],"video":[10,85],"coding,":[11],"as":[12],"the":[13,17,23,38,43,59,93,99,105,142],"coding":[14,78,86,102,130],"costs":[15],"for":[16,80,126,141],"enhancement":[18],"layer":[19,45],"depend":[20],"heavily":[21],"on":[22,73,124],"prediction":[24,36,82],"signal":[25,37],"generated":[26],"by":[27],"inter-layer":[28,81],"prediction.":[29],"In":[30,65,110],"order":[31],"to":[32,48],"generate":[33],"suitable":[35],"missing":[39],"high":[40],"frequencies":[41],"base":[44],"picture":[46],"have":[47],"be":[49],"reconstructed.":[50],"For":[51],"this":[52,66],"purpose":[53],"upscaling":[54],"methods":[55],"which":[56],"go":[57],"beyond":[58],"classical":[60],"sampling":[61],"theory":[62],"are":[63,122],"required.":[64],"paper,":[67],"an":[68,127],"image":[69],"method":[71,95],"based":[72],"dictionary":[74],"learning":[75],"and":[76],"sparse":[77],"techniques":[79],"presented.":[88],"Experimental":[89],"results":[90],"show":[91],"that":[92],"proposed":[94],"outperforms":[96],"state":[97],"of":[98,107],"art":[100],"models":[103],"case":[106],"2x":[108],"upscaling.":[109],"more":[111],"detail,":[112],"2.35":[113],"%":[114,140],"BD-rate":[115],"savings":[116,136],"against":[117],"SHM":[118],"12.0":[119],"reference":[120],"software":[121],"observed":[123],"average":[125],"All":[128],"Intra":[129],"configuration.":[131],"The":[132],"maximum":[133],"achieved":[134],"rate":[135],"were":[137],"6":[138],"15":[139],"sequence":[143],"PeopleOnStreet.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}