{"id":"https://openalex.org/W2965747599","doi":"https://doi.org/10.1109/tip.2019.2932853","title":"Graph Transform Optimization With Application to Image Compression","display_name":"Graph Transform Optimization With Application to Image Compression","publication_year":2019,"publication_date":"2019-08-08","ids":{"openalex":"https://openalex.org/W2965747599","doi":"https://doi.org/10.1109/tip.2019.2932853","mag":"2965747599","pmid":"https://pubmed.ncbi.nlm.nih.gov/31403414"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2932853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2932853","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1712.06393","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062328236","display_name":"Giulia Fracastoro","orcid":"https://orcid.org/0000-0001-8495-1097"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]},{"id":"https://openalex.org/I4210142780","display_name":"Turin Polytechnic University","ror":"https://ror.org/042xrxv40","country_code":"UZ","type":"education","lineage":["https://openalex.org/I4210142780"]}],"countries":["IT","UZ"],"is_corresponding":true,"raw_author_name":"Giulia Fracastoro","raw_affiliation_strings":["Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy","Polytechnic University of Turin"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]},{"raw_affiliation_string":"Polytechnic University of Turin","institution_ids":["https://openalex.org/I4210142780","https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072466998","display_name":"Dorina Thanou","orcid":"https://orcid.org/0000-0003-2319-4832"},"institutions":[{"id":"https://openalex.org/I4210122261","display_name":"Swiss Data Science Center","ror":"https://ror.org/02hdt9m26","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I2799323385","https://openalex.org/I35440088","https://openalex.org/I4210122261","https://openalex.org/I5124864"]},{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Dorina Thanou","raw_affiliation_strings":["Swiss Data Science Center, EPFL/ETHZ, Lausanne, Switzerland","\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne,"],"affiliations":[{"raw_affiliation_string":"Swiss Data Science Center, EPFL/ETHZ, Lausanne, Switzerland","institution_ids":["https://openalex.org/I4210122261","https://openalex.org/I5124864"]},{"raw_affiliation_string":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne,","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000947076","display_name":"Pascal Frossard","orcid":"https://orcid.org/0000-0002-4010-714X"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Pascal Frossard","raw_affiliation_strings":["Signal Processing Laboratory (LTS4), EPFL, Lausanne, Switzerland","\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne,"],"affiliations":[{"raw_affiliation_string":"Signal Processing Laboratory (LTS4), EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne,","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062328236"],"corresponding_institution_ids":["https://openalex.org/I177477856","https://openalex.org/I4210142780"],"apc_list":null,"apc_paid":null,"fwci":0.1447,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5745655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"29","issue":null,"first_page":"419","last_page":"432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9801999926567078,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/algorithm","display_name":"Algorithm","score":0.49761226773262024},{"id":"https://openalex.org/keywords/graph-bandwidth","display_name":"Graph bandwidth","score":0.48754093050956726},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4705367982387543},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.4428454339504242},{"id":"https://openalex.org/keywords/strength-of-a-graph","display_name":"Strength of a graph","score":0.4396524429321289},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4194333553314209},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.414816677570343},{"id":"https://openalex.org/keywords/null-graph","display_name":"Null graph","score":0.41105571389198303},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.3730695843696594},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37232422828674316}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49761226773262024},{"id":"https://openalex.org/C134727501","wikidata":"https://www.wikidata.org/wiki/Q5597073","display_name":"Graph bandwidth","level":5,"score":0.48754093050956726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4705367982387543},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.4428454339504242},{"id":"https://openalex.org/C19332903","wikidata":"https://www.wikidata.org/wiki/Q7623247","display_name":"Strength of a graph","level":5,"score":0.4396524429321289},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4194333553314209},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.414816677570343},{"id":"https://openalex.org/C17169500","wikidata":"https://www.wikidata.org/wiki/Q3033506","display_name":"Null graph","level":5,"score":0.41105571389198303},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.3730695843696594},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37232422828674316}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/tip.2019.2932853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2932853","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:31403414","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31403414","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:1712.06393","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.06393","pdf_url":"https://arxiv.org/pdf/1712.06393","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2965747599","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1712.06393","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:infoscience.epfl.ch:275676","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/275676","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://infoscience.epfl.ch/record/275676","raw_type":"Text"},{"id":"doi:10.48550/arxiv.1712.06393","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1712.06393","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1712.06393","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.06393","pdf_url":"https://arxiv.org/pdf/1712.06393","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W89301254","https://openalex.org/W143236119","https://openalex.org/W228380312","https://openalex.org/W310261224","https://openalex.org/W1520053542","https://openalex.org/W1566428659","https://openalex.org/W1588594383","https://openalex.org/W1599590327","https://openalex.org/W1967483773","https://openalex.org/W1980811840","https://openalex.org/W2030345669","https://openalex.org/W2031614119","https://openalex.org/W2050320982","https://openalex.org/W2099712288","https://openalex.org/W2101491865","https://openalex.org/W2102586630","https://openalex.org/W2106090311","https://openalex.org/W2111308925","https://openalex.org/W2118217749","https://openalex.org/W2120485259","https://openalex.org/W2127045331","https://openalex.org/W2128391927","https://openalex.org/W2129652681","https://openalex.org/W2140408177","https://openalex.org/W2144392304","https://openalex.org/W2144640755","https://openalex.org/W2155479981","https://openalex.org/W2158787690","https://openalex.org/W2247823745","https://openalex.org/W2291102274","https://openalex.org/W2293389097","https://openalex.org/W2294414102","https://openalex.org/W2399508263","https://openalex.org/W2513107701","https://openalex.org/W2553125747","https://openalex.org/W2583619302","https://openalex.org/W2594791474","https://openalex.org/W2611619642","https://openalex.org/W2617467128","https://openalex.org/W2959406683","https://openalex.org/W2962978500","https://openalex.org/W2963432281","https://openalex.org/W2964012239","https://openalex.org/W4246047487","https://openalex.org/W4250589301","https://openalex.org/W4254197176","https://openalex.org/W4297737050","https://openalex.org/W6675207249","https://openalex.org/W6675713007","https://openalex.org/W6680914561","https://openalex.org/W6689213722","https://openalex.org/W6730195713","https://openalex.org/W6737952755"],"related_works":["https://openalex.org/W2584445556","https://openalex.org/W2950786221","https://openalex.org/W2469963130","https://openalex.org/W2794285216","https://openalex.org/W2774741750","https://openalex.org/W3123559604","https://openalex.org/W3189078958","https://openalex.org/W3191299186","https://openalex.org/W3117306485","https://openalex.org/W3034116706","https://openalex.org/W3005400093","https://openalex.org/W2789405479","https://openalex.org/W2976405490","https://openalex.org/W1187536496","https://openalex.org/W3162092167","https://openalex.org/W2971601118","https://openalex.org/W2883793655","https://openalex.org/W3166212038","https://openalex.org/W2949540819","https://openalex.org/W2029998137"],"abstract_inverted_index":{"In":[0,71,127,199],"this":[1,128],"paper,":[2],"we":[3,73,130,161],"propose":[4],"a":[5,25,40,75,132,148],"new":[6],"graph-based":[7,36,183,215],"transform":[8,121,141,184],"and":[9,64,160,171,195],"illustrate":[10],"its":[11,118],"potential":[12],"application":[13,165],"to":[14,155,212],"signal":[15,52,63,90],"compression.":[16],"Our":[17],"approach":[18],"relies":[19],"on":[20,93,123],"the":[21,29,47,50,58,62,65,80,84,94,98,101,107,112,115,124,181,200,206,213],"careful":[22],"design":[23],"of":[24,60,100,114,117,158,202],"graph":[26,42,51,66,81,89,102,119],"that":[27,91,151,180,218],"optimizes":[28],"overall":[30],"rate-distortion":[31,69],"performance":[32],"through":[33],"an":[34,139],"effective":[35],"transform.":[37],"We":[38],"introduce":[39,74],"novel":[41,76],"estimation":[43],"algorithm,":[44],"which":[45],"uncovers":[46],"connectivities":[48],"between":[49],"values":[53],"by":[54,82,110],"taking":[55],"into":[56],"consideration":[57],"coding":[59,77,142,170,216],"both":[61,193],"topology":[67],"in":[68,106],"terms.":[70],"particular,":[72],"solution":[78,137],"for":[79,192,222],"treating":[83],"edge":[85],"weights":[86],"as":[87,190],"another":[88],"lies":[92],"dual":[95,125],"graph.":[96,126],"Then,":[97],"cost":[99],"description":[103],"is":[104,147],"introduced":[105],"optimization":[108,134],"problem":[109,135],"minimizing":[111],"sparsity":[113],"coefficients":[116],"Fourier":[120],"(GFT)":[122],"way,":[129],"obtain":[131],"convex":[133],"whose":[136],"defines":[138],"efficient":[140],"strategy.":[143],"The":[144,176],"proposed":[145,182],"technique":[146],"general":[149],"framework":[150],"can":[152],"be":[153],"applied":[154],"different":[156],"types":[157],"signals,":[159],"show":[162,179],"two":[163],"possible":[164],"fields,":[166],"namely":[167],"natural":[168,194],"image":[169,174],"piecewise":[172,196],"smooth":[173,197],"coding.":[175],"experimental":[177],"results":[178,208],"outperforms":[185],"classical":[186],"fixed":[187],"transforms":[188],"such":[189],"DCT":[191],"images.":[198,225],"case":[201],"depth":[203,223],"map":[204,224],"coding,":[205],"obtained":[207],"are":[209,219],"even":[210],"comparable":[211],"state-of-the-art":[214],"method,":[217],"specifically":[220],"designed":[221]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
