{"id":"https://openalex.org/W2171318554","doi":"https://doi.org/10.1109/icassp.2011.5946526","title":"Intra-frame prediction with lapped transforms for image coding","display_name":"Intra-frame prediction with lapped transforms for image coding","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2171318554","doi":"https://doi.org/10.1109/icassp.2011.5946526","mag":"2171318554"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5057090454","display_name":"Rafael Galv\u00e3o de Oliveira","orcid":null},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Rafael Galvao de Oliveira","raw_affiliation_strings":["D\u00e9partement Traitement du Signal et des Images, T\u00e9l\u00e9com Paris Technology, Paris, France"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement Traitement du Signal et des Images, T\u00e9l\u00e9com Paris Technology, Paris, France","institution_ids":["https://openalex.org/I12356871"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106469946","display_name":"B\u00e9atrice Pesquet\u2010Popescu","orcid":null},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Beatrice Pesquet-Popescu","raw_affiliation_strings":["D\u00e9partement Traitement du Signal et des Images, T\u00e9l\u00e9com Paris Technology, Paris, France"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement Traitement du Signal et des Images, T\u00e9l\u00e9com Paris Technology, Paris, France","institution_ids":["https://openalex.org/I12356871"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057090454"],"corresponding_institution_ids":["https://openalex.org/I12356871"],"apc_list":null,"apc_paid":null,"fwci":0.5151,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71438202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"805","last_page":"808"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/lapped-transform","display_name":"Lapped transform","score":0.8874005079269409},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.8184534311294556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6647419929504395},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.6365267634391785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.621152937412262},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5759863257408142},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5634312033653259},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5059792399406433},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4910114109516144},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.48515447974205017},{"id":"https://openalex.org/keywords/intra-frame","display_name":"Intra-frame","score":0.4439558982849121},{"id":"https://openalex.org/keywords/modified-discrete-cosine-transform","display_name":"Modified discrete cosine transform","score":0.4349400997161865},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40445807576179504},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3645186424255371},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33291441202163696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23871290683746338}],"concepts":[{"id":"https://openalex.org/C91458471","wikidata":"https://www.wikidata.org/wiki/Q17096468","display_name":"Lapped transform","level":5,"score":0.8874005079269409},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.8184534311294556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6647419929504395},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.6365267634391785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.621152937412262},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5759863257408142},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5634312033653259},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5059792399406433},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4910114109516144},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.48515447974205017},{"id":"https://openalex.org/C125864890","wikidata":"https://www.wikidata.org/wiki/Q1262687","display_name":"Intra-frame","level":3,"score":0.4439558982849121},{"id":"https://openalex.org/C28726691","wikidata":"https://www.wikidata.org/wiki/Q1268231","display_name":"Modified discrete cosine transform","level":5,"score":0.4349400997161865},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40445807576179504},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3645186424255371},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33291441202163696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23871290683746338},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"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":[{"id":"doi:10.1109/icassp.2011.5946526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W87853818","https://openalex.org/W1492380776","https://openalex.org/W1496489693","https://openalex.org/W1604949508","https://openalex.org/W2101700394","https://openalex.org/W2115002753","https://openalex.org/W2118217749","https://openalex.org/W2141504278","https://openalex.org/W2142276208","https://openalex.org/W2144889123","https://openalex.org/W2150363866","https://openalex.org/W2160281624","https://openalex.org/W2276329208","https://openalex.org/W2539296082","https://openalex.org/W4206514867","https://openalex.org/W4302366751","https://openalex.org/W6675207249"],"related_works":["https://openalex.org/W2162505377","https://openalex.org/W2112852877","https://openalex.org/W2111266495","https://openalex.org/W2090071970","https://openalex.org/W2128618986","https://openalex.org/W2119239074","https://openalex.org/W2565123265","https://openalex.org/W2115252864","https://openalex.org/W2363607146","https://openalex.org/W2116601382"],"abstract_inverted_index":{"In":[0],"this":[1,81],"paper":[2],"we":[3],"propose":[4],"the":[5,23,29,32,50,55,58,63,73,85,90,98],"use":[6,53],"of":[7,25,31,57,101],"intra-frame":[8],"prediction":[9,21,56],"with":[10],"lapped":[11,17,102],"transforms":[12,18,103],"for":[13,54],"image":[14,40],"coding.":[15],"Both":[16],"and":[19,28,83,95,97],"intra":[20],"exploit":[22],"redundancies":[24],"neighboring":[26],"blocks":[27],"combination":[30],"two":[33],"techniques":[34],"results":[35],"in":[36,62,104],"a":[37],"very":[38],"efficient":[39],"coding":[41],"scheme.":[42],"The":[43],"difficulty":[44],"to":[45,52,79],"combine":[46],"them":[47],"comes":[48],"from":[49],"necessity":[51],"current":[59],"block":[60],"pixels":[61],"causal":[64],"neighborhood":[65],"that":[66],"have":[67],"not":[68],"been":[69],"completely":[70],"processed":[71],"by":[72],"overlapping":[74],"transform.":[75],"We":[76],"show":[77],"how":[78],"overcome":[80],"difficulty,":[82],"thus":[84],"system":[86],"presented":[87],"here":[88],"outperforms":[89],"traditional":[91],"one,":[92],"using":[93],"intra-prediction":[94],"DCT,":[96],"direct":[99],"application":[100],"all":[105],"tested":[106],"images.":[107]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
