{"id":"https://openalex.org/W2511705255","doi":"https://doi.org/10.1109/icip.2016.7532616","title":"Edge adaptive graph-based transforms: Comparison of step/ramp edge models for video compression","display_name":"Edge adaptive graph-based transforms: Comparison of step/ramp edge models for video compression","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2511705255","doi":"https://doi.org/10.1109/icip.2016.7532616","mag":"2511705255"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532616","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/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":true,"raw_author_name":"Yung-Hsuan Chao","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","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":false,"raw_author_name":"Hilmi E. Egilmez","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"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":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","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 Inc., Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"LG Electronics Inc., Seoul, South Korea","institution_ids":["https://openalex.org/I4210131320"]}]},{"author_position":"last","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 Inc., Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"LG Electronics Inc., Seoul, South Korea","institution_ids":["https://openalex.org/I4210131320"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5056337395"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.2522,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.52780755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1539","last_page":"1543"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9997000098228455,"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":0.9997000098228455,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9965000152587891,"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":0.9779000282287598,"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":0.6376305818557739},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6208629608154297},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6120699048042297},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.563318133354187},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.5423773527145386},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4950956404209137},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.49429798126220703},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4736831486225128},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43676820397377014},{"id":"https://openalex.org/keywords/dual-graph","display_name":"Dual graph","score":0.41457754373550415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32333943247795105},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30279844999313354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.258767694234848},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.09164780378341675},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06593909859657288}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6376305818557739},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6208629608154297},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6120699048042297},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.563318133354187},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.5423773527145386},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4950956404209137},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.49429798126220703},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4736831486225128},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43676820397377014},{"id":"https://openalex.org/C169827030","wikidata":"https://www.wikidata.org/wiki/Q2294516","display_name":"Dual graph","level":4,"score":0.41457754373550415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32333943247795105},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30279844999313354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.258767694234848},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.09164780378341675},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06593909859657288},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532616","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1599590327","https://openalex.org/W1980811840","https://openalex.org/W1982975308","https://openalex.org/W2021168822","https://openalex.org/W2133833176","https://openalex.org/W2144392304","https://openalex.org/W2145263492","https://openalex.org/W2161811007","https://openalex.org/W2294414102","https://openalex.org/W2399083740"],"related_works":["https://openalex.org/W2094583657","https://openalex.org/W1594300462","https://openalex.org/W2158009109","https://openalex.org/W1606460848","https://openalex.org/W1706111048","https://openalex.org/W2129927873","https://openalex.org/W2772846670","https://openalex.org/W2112852877","https://openalex.org/W2034796835","https://openalex.org/W3188631569"],"abstract_inverted_index":{"In":[0,18,46],"this":[1],"paper,":[2],"we":[3,20],"propose":[4],"a":[5,56],"new":[6,57],"edge":[7,10,25,58,82,89],"model":[8],"for":[9,31,63,91],"adaptive":[11],"graph-based":[12],"transforms":[13],"(EA-GBTs)":[14],"in":[15],"video":[16],"compression.":[17],"particular,":[19],"consider":[21],"step":[22,88],"and":[23,34,41,79],"ramp":[24,65,81],"models":[26,83,90],"to":[27,48],"design":[28],"graphs":[29],"used":[30],"defining":[32],"transforms,":[33],"compare":[35],"their":[36],"performance":[37,86],"on":[38],"coding":[39,59],"intra":[40,92],"inter":[42],"predicted":[43,93],"residual":[44],"blocks.":[45],"order":[47],"reduce":[49],"the":[50,64,72],"signaling":[51],"overhead":[52],"of":[53],"block-adaptive":[54],"coding,":[55],"method":[60],"is":[61],"introduced":[62],"model.":[66],"Our":[67],"experimental":[68],"results":[69],"show":[70],"that":[71,80],"proposed":[73],"methods":[74],"outperform":[75],"classical":[76],"DCT-based":[77],"encoding":[78],"provide":[84],"better":[85],"than":[87],"residuals.":[94]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
