{"id":"https://openalex.org/W2513107701","doi":"https://doi.org/10.1109/icip.2016.7532784","title":"GBST: Separable transforms based on line graphs for predictive video coding","display_name":"GBST: Separable transforms based on line graphs for predictive video coding","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2513107701","doi":"https://doi.org/10.1109/icip.2016.7532784","mag":"2513107701"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5013018216","display_name":"Hilmi E. Egilmez","orcid":"https://orcid.org/0000-0001-9258-2164"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hilmi E. Egilmez","raw_affiliation_strings":["Signal & Image Processing Institute, University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Signal & Image Processing Institute, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056337395","display_name":"Yung\u2010Hsuan Chao","orcid":"https://orcid.org/0000-0002-3638-6289"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yung-Hsuan Chao","raw_affiliation_strings":["Signal & Image Processing Institute, University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Signal & Image Processing Institute, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040001106","display_name":"Antonio Ortega","orcid":"https://orcid.org/0000-0001-5403-0940"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Antonio Ortega","raw_affiliation_strings":["Signal & Image Processing Institute, University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Signal & Image Processing Institute, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051083488","display_name":"Bumshik Lee","orcid":"https://orcid.org/0000-0003-2482-1869"},"institutions":[{"id":"https://openalex.org/I4210131320","display_name":"LG (South Korea)","ror":"https://ror.org/03ddh2c27","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210131320"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Bumshik Lee","raw_affiliation_strings":["LG Electronics, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"LG Electronics, Seoul, South Korea","institution_ids":["https://openalex.org/I4210131320"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069127746","display_name":"Sehoon Yea","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131320","display_name":"LG (South Korea)","ror":"https://ror.org/03ddh2c27","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210131320"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sehoon Yea","raw_affiliation_strings":["LG Electronics, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"LG Electronics, Seoul, South Korea","institution_ids":["https://openalex.org/I4210131320"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5013018216"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":2.774,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.91473145,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2375","last_page":"2379"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9940000176429749,"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"}},"topics":[{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9940000176429749,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9765999913215637,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9553999900817871,"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/separable-space","display_name":"Separable space","score":0.8056252002716064},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.7365071773529053},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7137142419815063},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5420407652854919},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5400103330612183},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49776986241340637},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4214513897895813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.415568083524704},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3412780165672302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3252103328704834},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13889169692993164},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0800161063671112}],"concepts":[{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.8056252002716064},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.7365071773529053},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7137142419815063},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5420407652854919},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5400103330612183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49776986241340637},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4214513897895813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.415568083524704},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3412780165672302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3252103328704834},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13889169692993164},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0800161063671112},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W18046889","https://openalex.org/W114565888","https://openalex.org/W1566428659","https://openalex.org/W1599590327","https://openalex.org/W1634005169","https://openalex.org/W2018342351","https://openalex.org/W2026732536","https://openalex.org/W2043144513","https://openalex.org/W2050320982","https://openalex.org/W2101491865","https://openalex.org/W2101700394","https://openalex.org/W2146395539","https://openalex.org/W2165101139","https://openalex.org/W2166816543","https://openalex.org/W2294414102","https://openalex.org/W2399083740","https://openalex.org/W2399508263","https://openalex.org/W2469963130","https://openalex.org/W4250589301","https://openalex.org/W6675207249"],"related_works":["https://openalex.org/W1916685473","https://openalex.org/W2055682261","https://openalex.org/W1993363272","https://openalex.org/W2186390138","https://openalex.org/W2060035984","https://openalex.org/W2790129917","https://openalex.org/W2992856432","https://openalex.org/W2100638064","https://openalex.org/W2127787376","https://openalex.org/W4300237897"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,28],"novel":[4],"class":[5],"of":[6,51,76],"transforms,":[7],"called":[8],"graph-based":[9],"separable":[10,53,68,92],"transforms":[11,54,87],"(GBSTs),":[12],"based":[13],"on":[14],"two":[15,34],"line":[16,36],"graphs":[17,37],"with":[18],"optimized":[19,86],"weights.":[20],"For":[21],"the":[22,49,77,84],"optimal":[23],"GBST":[24],"construction,":[25],"we":[26,65],"formulate":[27],"graph":[29],"learning":[30],"problem":[31],"to":[32],"design":[33],"separate":[35],"using":[38],"row-wise":[39],"and":[40,58,70,91],"column-wise":[41],"residual":[42,61],"block":[43,62],"statistics,":[44],"respectively.":[45],"We":[46],"also":[47],"analyze":[48],"optimality":[50],"resulting":[52],"for":[55],"both":[56],"intra":[57],"inter":[59],"predicted":[60],"models.":[63],"Moreover,":[64],"show":[66],"that":[67,83],"DCT":[69],"ADST":[71],"(DST-7)":[72],"are":[73],"special":[74],"cases":[75],"GBSTs.":[78],"Our":[79],"experimental":[80],"results":[81],"demonstrate":[82],"proposed":[85],"outperform":[88],"2-D":[89],"DCT/ADST":[90],"KLT.":[93]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
