{"id":"https://openalex.org/W2574921794","doi":"https://doi.org/10.1109/vcip.2016.7805433","title":"Fast CU partition for H.264/AVC to HEVC transcoding based on fisher discriminant analysis","display_name":"Fast CU partition for H.264/AVC to HEVC transcoding based on fisher discriminant analysis","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2574921794","doi":"https://doi.org/10.1109/vcip.2016.7805433","mag":"2574921794"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2016.7805433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100416380","display_name":"Dongdong Zhang","orcid":"https://orcid.org/0000-0002-8619-2140"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongdong Zhang","raw_affiliation_strings":["Computer Science Department, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101627093","display_name":"Jie Tong","orcid":"https://orcid.org/0009-0009-8036-2901"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Tong","raw_affiliation_strings":["Computer Science Department, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044516611","display_name":"Di Zang","orcid":"https://orcid.org/0000-0003-4869-2715"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Zang","raw_affiliation_strings":["Computer Science Department, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9987999796867371,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9955000281333923,"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/transcoding","display_name":"Transcoding","score":0.6597034335136414},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6558058857917786},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6131021976470947},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6089279651641846},{"id":"https://openalex.org/keywords/bitstream","display_name":"Bitstream","score":0.5805060267448425},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5586333870887756},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4687022864818573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41446182131767273},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23785191774368286},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.20158827304840088}],"concepts":[{"id":"https://openalex.org/C134535813","wikidata":"https://www.wikidata.org/wiki/Q1888734","display_name":"Transcoding","level":2,"score":0.6597034335136414},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6558058857917786},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6131021976470947},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6089279651641846},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.5805060267448425},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5586333870887756},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4687022864818573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41446182131767273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23785191774368286},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.20158827304840088},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2016.7805433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1964348393","https://openalex.org/W2001619934","https://openalex.org/W2022061475","https://openalex.org/W2089682072","https://openalex.org/W2249765709","https://openalex.org/W2979673094"],"related_works":["https://openalex.org/W2107251209","https://openalex.org/W1515374658","https://openalex.org/W2573375399","https://openalex.org/W2732529144","https://openalex.org/W2334503698","https://openalex.org/W2007647107","https://openalex.org/W2033124722","https://openalex.org/W1981032881","https://openalex.org/W2052473161","https://openalex.org/W1989504642"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,50,96],"fast":[4],"CU":[5,33,59],"partition":[6],"algorithm":[7,94],"for":[8],"H.264":[9,30],"to":[10,57,77,98],"HEVC":[11],"transcoding":[12],"based":[13],"on":[14,100],"Fisher":[15],"Discriminant":[16],"Analysis":[17],"is":[18,55,75],"proposed.":[19],"Using":[20],"the":[21,26,32,66,79,92,107],"classification":[22,69],"model":[23,80],"built":[24],"with":[25,102],"extracted":[27],"features":[28],"from":[29],"bitstream,":[31],"splitting":[34,60],"of":[35,68],"depth":[36,62],"0":[37],"and":[38,49,82],"1":[39],"can":[40],"be":[41],"directly":[42],"determined":[43],"without":[44],"rate":[45],"distortion":[46],"optimization":[47],"process,":[48],"simple":[51],"mode":[52],"mapping":[53],"method":[54],"used":[56],"determine":[58],"in":[61,85],"2.":[63],"To":[64],"ensure":[65],"accuracy":[67],"model,":[70],"an":[71],"online":[72],"learning":[73],"strategy":[74],"designed":[76],"update":[78],"thresholds":[81],"weight":[83],"vectors":[84],"time.":[86],"The":[87],"experimental":[88],"results":[89],"show":[90],"that":[91],"proposed":[93],"obtains":[95],"speed-up":[97],"1.90\u00d7":[99],"average":[101],"2.75%":[103],"BD-rate":[104],"loss":[105],"under":[106],"low-delay":[108],"P":[109],"configuration.":[110]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
