{"id":"https://openalex.org/W2025564619","doi":"https://doi.org/10.1109/icip.2014.7025835","title":"Fast partitioning algorithm for HEVC Intra frame coding using machine learning","display_name":"Fast partitioning algorithm for HEVC Intra frame coding using machine learning","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2025564619","doi":"https://doi.org/10.1109/icip.2014.7025835","mag":"2025564619"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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/A5016465312","display_name":"Dami\u00e1n Ruiz","orcid":"https://orcid.org/0000-0002-5538-0608"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Damian Ruiz-Coll","raw_affiliation_strings":["Instituto de Investigaci\u00f3n en Inform\u00e1tica de Albacete, Albacete, SPAIN","Instituto de Investigaci\u00f3n en Inform\u00e1tica de Albacete (Albacete, Spain)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Investigaci\u00f3n en Inform\u00e1tica de Albacete, Albacete, SPAIN","institution_ids":[]},{"raw_affiliation_string":"Instituto de Investigaci\u00f3n en Inform\u00e1tica de Albacete (Albacete, Spain)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006865456","display_name":"Velibor Adzic","orcid":null},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Velibor Adzic","raw_affiliation_strings":["Florida Atlantic University, Boca Raton, Florida, USA","Florida Atlantic University  Boca Raton Florida USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida Atlantic University, Boca Raton, Florida, USA","institution_ids":["https://openalex.org/I63772739"]},{"raw_affiliation_string":"Florida Atlantic University  Boca Raton Florida USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069232880","display_name":"Gerardo Fern\u00e1ndez-\u00adEscribano","orcid":"https://orcid.org/0000-0002-0037-2061"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gerardo Fernandez-Escribano","raw_affiliation_strings":["Instituto de Investigaci\u00f3n en Inform\u00e1tica de Albacete, Albacete, SPAIN","Instituto de Investigaci\u00f3n en Inform\u00e1tica de Albacete (Albacete, Spain)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Investigaci\u00f3n en Inform\u00e1tica de Albacete, Albacete, SPAIN","institution_ids":[]},{"raw_affiliation_string":"Instituto de Investigaci\u00f3n en Inform\u00e1tica de Albacete (Albacete, Spain)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022677500","display_name":"Hari Kalva","orcid":"https://orcid.org/0000-0002-7165-5499"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hari Kalva","raw_affiliation_strings":["Florida Atlantic University, Boca Raton, Florida, USA","Florida Atlantic University  Boca Raton Florida USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida Atlantic University, Boca Raton, Florida, USA","institution_ids":["https://openalex.org/I63772739"]},{"raw_affiliation_string":"Florida Atlantic University  Boca Raton Florida USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739715","display_name":"Jos\u00e9 Luis Mart\u00ednez","orcid":"https://orcid.org/0000-0001-5119-2418"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jose Luis Martinez","raw_affiliation_strings":["Instituto de Investigaci\u00f3n en Inform\u00e1tica de Albacete, Albacete, SPAIN","Instituto de Investigaci\u00f3n en Inform\u00e1tica de Albacete (Albacete, Spain)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Investigaci\u00f3n en Inform\u00e1tica de Albacete, Albacete, SPAIN","institution_ids":[]},{"raw_affiliation_string":"Instituto de Investigaci\u00f3n en Inform\u00e1tica de Albacete (Albacete, Spain)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006902793","display_name":"Pedro Cuenca","orcid":"https://orcid.org/0000-0002-2791-0165"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pedro Cuenca","raw_affiliation_strings":["Instituto de Investigaci\u00f3n en Inform\u00e1tica de Albacete, Albacete, SPAIN","Instituto de Investigaci\u00f3n en Inform\u00e1tica de Albacete (Albacete, Spain)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Investigaci\u00f3n en Inform\u00e1tica de Albacete, Albacete, SPAIN","institution_ids":[]},{"raw_affiliation_string":"Instituto de Investigaci\u00f3n en Inform\u00e1tica de Albacete (Albacete, Spain)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5383,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.93372909,"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":"4112","last_page":"4116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9980999827384949,"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":0.9968000054359436,"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":0.8050621747970581},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.7276948690414429},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.6758909821510315},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.628302276134491},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5306711792945862},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"Algorithmic efficiency","score":0.5232590436935425},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.5063449144363403},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4821181297302246},{"id":"https://openalex.org/keywords/context-adaptive-variable-length-coding","display_name":"Context-adaptive variable-length coding","score":0.45121291279792786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.403003454208374},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.2819310426712036},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1806030571460724},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.12436050176620483},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09193244576454163},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07797351479530334}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8050621747970581},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.7276948690414429},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.6758909821510315},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.628302276134491},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5306711792945862},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.5232590436935425},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.5063449144363403},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4821181297302246},{"id":"https://openalex.org/C135534801","wikidata":"https://www.wikidata.org/wiki/Q1128721","display_name":"Context-adaptive variable-length coding","level":4,"score":0.45121291279792786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.403003454208374},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.2819310426712036},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1806030571460724},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.12436050176620483},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09193244576454163},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07797351479530334},{"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.2014.7025835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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":22,"referenced_works":["https://openalex.org/W994504565","https://openalex.org/W1994055972","https://openalex.org/W2029745654","https://openalex.org/W2043101517","https://openalex.org/W2052649736","https://openalex.org/W2052852954","https://openalex.org/W2058503137","https://openalex.org/W2077743816","https://openalex.org/W2095407248","https://openalex.org/W2101700394","https://openalex.org/W2125055259","https://openalex.org/W2129751650","https://openalex.org/W2133990480","https://openalex.org/W2146395539","https://openalex.org/W2146807028","https://openalex.org/W2167267119","https://openalex.org/W2979673094","https://openalex.org/W2979990382","https://openalex.org/W3148431543","https://openalex.org/W6675207249","https://openalex.org/W6678449394","https://openalex.org/W6769015554"],"related_works":["https://openalex.org/W2237847712","https://openalex.org/W1564343373","https://openalex.org/W1600508251","https://openalex.org/W1987576066","https://openalex.org/W2952327056","https://openalex.org/W1978571360","https://openalex.org/W2073036814","https://openalex.org/W303791164","https://openalex.org/W2392475054","https://openalex.org/W2552449155"],"abstract_inverted_index":{"High":[0],"Efficiency":[1],"Video":[2],"Coding":[3],"(HEVC)":[4],"is":[5],"the":[6,32,35,53,57,67,71,82,116,121,143],"new":[7,45,68,72],"video":[8],"coding":[9,75,123,171],"standard":[10],"recently":[11],"approved":[12],"by":[13,39,115,128],"ISO":[14],"and":[15,164],"ITU.":[16],"HEVC":[17],"allows":[18],"a":[19,25,42,77,92,109,130,136,148,154,167],"bit":[20],"rate":[21],"reduction":[22],"greater":[23],"than":[24],"50%":[26],"with":[27,52,166],"respect":[28],"to":[29,100,119],"its":[30],"predecessor,":[31],"H.264/AVC,":[33],"offering":[34],"same":[36],"perceptual":[37],"quality,":[38],"means":[40],"of":[41,44,56,91,150,157,170],"set":[43],"tools":[46],"that":[47,111,142],"have":[48],"been":[49],"introduced.":[50],"Compared":[51],"current":[54],"state":[55],"art":[58],"in":[59,81,102],"image":[60],"coding,":[61],"such":[62],"as":[63],"JPEG,":[64],"JPEG2000":[65],"or":[66],"JPEG":[69],"XR,":[70],"Intra":[73],"Frame":[74],"performs":[76],"high":[78,93,158],"compression":[79],"process":[80],"\"All-Intra\"":[83],"mode.":[84],"All":[85],"these":[86],"improvements":[87],"are":[88],"at":[89],"expense":[90],"computational":[94],"cost,":[95],"making":[96],"it":[97],"considerably":[98],"difficult":[99],"implement":[101],"real":[103],"time.":[104],"Hence,":[105],"this":[106],"paper":[107],"presents":[108],"mechanism":[110],"can":[112,146],"be":[113],"used":[114],"RDO":[117],"algorithm":[118,145],"select":[120],"optimal":[122],"block":[124],"size":[125],"for":[126],"Intra-Prediction,":[127],"using":[129],"data":[131],"mining":[132],"classifier,":[133],"based":[134],"on":[135],"previous":[137],"training.":[138],"Experimental":[139],"results":[140],"show":[141],"proposed":[144],"achieve":[147],"30%":[149],"Time":[151],"Savings":[152],"over":[153],"wide":[155],"range":[156],"resolution":[159],"sequences":[160],"(Class":[161],"A,":[162],"B":[163],"F),":[165],"negligible":[168],"loss":[169],"efficiency.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
