{"id":"https://openalex.org/W2579826524","doi":"https://doi.org/10.1109/ipta.2016.7821003","title":"Fast HEVC CU/PU mode decision based on ANN and texture analysis","display_name":"Fast HEVC CU/PU mode decision based on ANN and texture analysis","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2579826524","doi":"https://doi.org/10.1109/ipta.2016.7821003","mag":"2579826524"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2016.7821003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2016.7821003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","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/A5070679763","display_name":"Shuaihu Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaihu Zhou","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112436964","display_name":"Zuochang Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuochang Ye","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100322594","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-0452-6750"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.4398,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5791808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9986000061035156,"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":0.9980000257492065,"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/coding","display_name":"Coding (social sciences)","score":0.7617263793945312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7584412693977356},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"Algorithmic efficiency","score":0.6023743152618408},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5847422480583191},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5601803064346313},{"id":"https://openalex.org/keywords/reference-software","display_name":"Reference software","score":0.5152114033699036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.514517068862915},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.497696191072464},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4325757324695587},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.42417392134666443},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4118492007255554},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18572255969047546},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.17595848441123962},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08865469694137573}],"concepts":[{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.7617263793945312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7584412693977356},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.6023743152618408},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5847422480583191},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5601803064346313},{"id":"https://openalex.org/C2776493296","wikidata":"https://www.wikidata.org/wiki/Q7307150","display_name":"Reference software","level":3,"score":0.5152114033699036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.514517068862915},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.497696191072464},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4325757324695587},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.42417392134666443},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4118492007255554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18572255969047546},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.17595848441123962},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08865469694137573},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta.2016.7821003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2016.7821003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","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":20,"referenced_works":["https://openalex.org/W1969665649","https://openalex.org/W1973962379","https://openalex.org/W2048500302","https://openalex.org/W2058503137","https://openalex.org/W2077743816","https://openalex.org/W2101700394","https://openalex.org/W2109519887","https://openalex.org/W2127217676","https://openalex.org/W2146395539","https://openalex.org/W2276329208","https://openalex.org/W2293792336","https://openalex.org/W2313813945","https://openalex.org/W2555146494","https://openalex.org/W2979673094","https://openalex.org/W2979990382","https://openalex.org/W4237772610","https://openalex.org/W4244494905","https://openalex.org/W6675207249","https://openalex.org/W6769015554","https://openalex.org/W6819351495"],"related_works":["https://openalex.org/W4362519939","https://openalex.org/W2018760684","https://openalex.org/W2028369661","https://openalex.org/W2735437354","https://openalex.org/W2271827173","https://openalex.org/W2166218295","https://openalex.org/W1579233721","https://openalex.org/W2986238322","https://openalex.org/W4254232196","https://openalex.org/W2072993124"],"abstract_inverted_index":{"HEVC":[0],"(high":[1],"efficiency":[2,162],"video":[3,8],"coding),":[4],"as":[5],"the":[6,28,64,67,76,81,99,109,124,135,149],"latest":[7],"coding":[9,161],"standard,":[10],"is":[11,53],"more":[12],"efficient":[13],"than":[14],"H.264/AVC,":[15],"nevertheless":[16],"it":[17],"also":[18],"brings":[19],"in":[20,55,121],"a":[21,41],"very":[22],"high":[23],"computational":[24],"complexity.":[25],"To":[26],"reduce":[27],"time":[29,156],"of":[30,66,84,123,138],"CU":[31,78,111],"(coding":[32],"unit)":[33,38],"splitting":[34],"or":[35,105,112,134],"PU":[36],"(prediction":[37],"mode":[39,115],"deciding,":[40],"fast":[42],"algorithm":[43,137,151],"based":[44,93],"on":[45,94,157],"ANN":[46,133],"(artificial":[47],"neural":[48],"network)":[49],"and":[50,61,72,86,91],"texture":[51,82,100],"analysis":[52],"proposed":[54,150],"this":[56],"paper.":[57],"First,":[58],"we":[59,96,126,131],"acquire":[60],"then":[62],"label":[63],"CUs":[65,88,125],"training":[68],"set":[69,98],"with":[70,159],"\u201csplit\u201d":[71,85],"\u201cunsplit\u201d":[73,87],"according":[74],"to":[75,102,107,144,147],"quad-tree":[77],"depth.":[79],"Second,":[80],"features":[83],"are":[89],"quantified":[90],"compiled,":[92],"which":[95,113],"can":[97,152],"thresholds":[101],"judge":[103,128],"whether":[104],"not":[106],"split":[108],"current":[110],"prediction":[114],"should":[116],"be":[117],"taken":[118],"preliminarily.":[119],"Finally,":[120],"terms":[122],"can't":[127],"from":[129],"texture,":[130],"use":[132],"original":[136],"HM":[139],"(HEVC":[140],"test":[141],"model)":[142],"software":[143],"decide.":[145],"Compared":[146],"HM15.0,":[148],"save":[153],"51.85%":[154],"encoding":[155],"average":[158],"negligible":[160],"loss.":[163]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}