{"id":"https://openalex.org/W2091956718","doi":"https://doi.org/10.1109/siu.2014.6830192","title":"Transforms for the disparity-compensated prediction residuals","display_name":"Transforms for the disparity-compensated prediction residuals","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2091956718","doi":"https://doi.org/10.1109/siu.2014.6830192","mag":"2091956718"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2014.6830192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2014.6830192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11511/53383","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058247870","display_name":"Burcu Karasoy","orcid":null},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Burcu Karasoy","raw_affiliation_strings":["ASELSAN, Ankara, T\u00fcrkiye","[ASELSAN, Ankara, T\u00fcrkiye]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASELSAN, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I56303344"]},{"raw_affiliation_string":"[ASELSAN, Ankara, T\u00fcrkiye]","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009556702","display_name":"Fatih Kam\u0131\u015fl\u0131","orcid":"https://orcid.org/0000-0001-7112-1633"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Fatih Kamisli","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Ankara, T\u00fcrkiye","Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Ankara, T\u00dcRK\u0130YE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I201799495"]},{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Ankara, T\u00dcRK\u0130YE","institution_ids":["https://openalex.org/I201799495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8846,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75780581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"168","last_page":"171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9993000030517578,"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":0.9955999851226807,"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/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.905455470085144},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7310655117034912},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.5881366729736328},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5802398324012756},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5745388269424438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5550998449325562},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5395163297653198},{"id":"https://openalex.org/keywords/lapped-transform","display_name":"Lapped transform","score":0.4973049461841583},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.46970221400260925},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3817211389541626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.356082946062088},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13863971829414368},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09192773699760437},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07071387767791748}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.905455470085144},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7310655117034912},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.5881366729736328},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5802398324012756},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5745388269424438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5550998449325562},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5395163297653198},{"id":"https://openalex.org/C91458471","wikidata":"https://www.wikidata.org/wiki/Q17096468","display_name":"Lapped transform","level":5,"score":0.4973049461841583},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.46970221400260925},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3817211389541626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.356082946062088},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13863971829414368},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09192773699760437},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07071387767791748},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu.2014.6830192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2014.6830192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:open.metu.edu.tr:11511/53383","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/53383","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"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":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:open.metu.edu.tr:11511/53383","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/53383","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"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":"","raw_type":"Conference Paper"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1971633799","https://openalex.org/W2000193445","https://openalex.org/W2043220197","https://openalex.org/W2095869081","https://openalex.org/W2101700394","https://openalex.org/W2111660726","https://openalex.org/W2114447066","https://openalex.org/W2122186245","https://openalex.org/W2133669042","https://openalex.org/W2159871358","https://openalex.org/W6675207249"],"related_works":["https://openalex.org/W2258231948","https://openalex.org/W2162505377","https://openalex.org/W2094583657","https://openalex.org/W2115252864","https://openalex.org/W2111266495","https://openalex.org/W2112852877","https://openalex.org/W2106400387","https://openalex.org/W2119239074","https://openalex.org/W2133833176","https://openalex.org/W2128618986"],"abstract_inverted_index":{"Previous":[0],"research":[1],"indicates":[2],"that":[3,16,53,81,99],"motion-compensated":[4],"prediction":[5,45,55],"residuals":[6,46,56],"can":[7,20,85],"have":[8,58],"1-D":[9,17,35,59,91],"(dimensional)":[10],"structures":[11,60],"in":[12,61],"many":[13,62],"regions":[14,23],"and":[15],"directional":[18],"transforms":[19,36],"compress":[21],"such":[22],"more":[24],"efficiently":[25],"than":[26],"2-D":[27,94],"Discrete":[28],"Cosine":[29],"Transform":[30],"(DCT).":[31],"In":[32],"this":[33],"paper,":[34],"are":[37],"also":[38,57],"used":[39],"for":[40],"the":[41,66,100],"compression":[42,68,102],"of":[43],"disparity-compensated":[44,54],"based":[47],"on":[48],"analysis":[49],"results,":[50],"which":[51],"indicate":[52,98],"regions.":[63],"To":[64],"show":[65],"achievable":[67],"efficiency":[69,103],"gains":[70],"from":[71],"using":[72],"these":[73],"transforms,":[74],"JMVC":[75],"reference":[76],"software":[77],"is":[78],"modified":[79],"so":[80],"each":[82],"residual":[83],"block":[84],"be":[86],"transformed":[87],"either":[88],"with":[89],"a":[90],"transform":[92],"or":[93],"DCT.":[95],"Experimental":[96],"results":[97],"overall":[101],"increases.":[104]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}