{"id":"https://openalex.org/W2572672587","doi":"https://doi.org/10.1109/apsipa.2016.7820705","title":"Fast RQT structure decision method for HEVC","display_name":"Fast RQT structure decision method for HEVC","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2572672587","doi":"https://doi.org/10.1109/apsipa.2016.7820705","mag":"2572672587"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2016.7820705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2016.7820705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","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/A5000288828","display_name":"Wei Zhou","orcid":"https://orcid.org/0000-0001-9715-6957"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Zhou","raw_affiliation_strings":["School of Electronics and Information"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110439775","display_name":"Chang Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang Yan","raw_affiliation_strings":["School of Electronics and Information"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023780127","display_name":"Henglu Wei","orcid":"https://orcid.org/0000-0002-2072-5020"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Henglu Wei","raw_affiliation_strings":["School of Electronics and Information"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087863930","display_name":"Guanwen Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanwen Zhang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, Shaanxi, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, Shaanxi, CN","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032765483","display_name":"Qing Ai","orcid":"https://orcid.org/0000-0002-8081-6805"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ai Qing","raw_affiliation_strings":["School of Electronics and Information"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101644680","display_name":"Xin Zhou","orcid":"https://orcid.org/0000-0002-1496-405X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhou","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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":0.9937999844551086,"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":0.9797999858856201,"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":0.6923919916152954},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.6517090797424316},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6165147423744202},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.611470103263855},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6083818674087524},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5897011160850525},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5795853734016418},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.49776744842529297},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.47283419966697693},{"id":"https://openalex.org/keywords/block-size","display_name":"Block size","score":0.4315507411956787},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.428505003452301},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4153556823730469},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.25419989228248596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2509002685546875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2038249373435974},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.12422475218772888},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09081399440765381},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.08769190311431885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6923919916152954},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.6517090797424316},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6165147423744202},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.611470103263855},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6083818674087524},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5897011160850525},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5795853734016418},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.49776744842529297},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.47283419966697693},{"id":"https://openalex.org/C41431624","wikidata":"https://www.wikidata.org/wiki/Q1053357","display_name":"Block size","level":3,"score":0.4315507411956787},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.428505003452301},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4153556823730469},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25419989228248596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2509002685546875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2038249373435974},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.12422475218772888},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09081399440765381},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.08769190311431885},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2016.7820705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2016.7820705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2043292349","https://openalex.org/W2078359196","https://openalex.org/W2146395539","https://openalex.org/W2154015495"],"related_works":["https://openalex.org/W1916685473","https://openalex.org/W2055682261","https://openalex.org/W2186390138","https://openalex.org/W1993363272","https://openalex.org/W2060035984","https://openalex.org/W2790129917","https://openalex.org/W2992856432","https://openalex.org/W2100638064","https://openalex.org/W2174937762","https://openalex.org/W2212883587"],"abstract_inverted_index":{"Variable":[0],"transform":[1,32,68],"block":[2,60],"(TB)":[3],"sizes":[4],"cause":[5],"high":[6],"computational":[7],"complexity":[8,109],"at":[9],"the":[10,28,44,49,73,84,90,117],"HEVC":[11],"encoder.":[12],"In":[13,54],"this":[14],"paper,":[15],"a":[16],"fast":[17],"residual":[18],"quad-tree":[19],"(RQT)":[20],"structure":[21,114],"decision":[22,94],"method":[23,36,86,102],"is":[24,64,80,103],"proposed":[25,35,85,101],"to":[26,47,66,87,105],"reduce":[27,106],"number":[29],"of":[30,51],"candidate":[31],"sizes.":[33],"The":[34],"uses":[37],"spatial":[38],"and":[39,69,119,124],"temporal":[40],"correlation":[41],"information":[42],"in":[43,83,112],"neighbor":[45],"blocks":[46],"predict":[48],"depth":[50],"current":[52],"RQT.":[53],"addition,":[55],"an":[56],"efficient":[57],"all":[58],"zero":[59],"(AZB)":[61],"detection":[62],"approach":[63],"designed":[65],"accelerate":[67],"quantization.":[70],"At":[71],"last,":[72],"nonzero":[74],"DCT":[75],"coefficient":[76],"(NNZ)":[77],"based":[78],"scheme":[79],"also":[81],"integrated":[82],"early":[88],"terminate":[89],"recursive":[91],"RQT":[92,113],"mode":[93],"process.":[95],"Experimental":[96],"results":[97],"show":[98],"that":[99],"our":[100],"able":[104],"70%":[107],"computation":[108],"on":[110],"average":[111],"decision.":[115],"And":[116],"BDBR":[118],"BDPR":[120],"gains":[121],"are":[122,128],"1.13%":[123],"\u22120.048dB":[125],"respectively":[126],"which":[127],"negligible.":[129]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}