{"id":"https://openalex.org/W2793495148","doi":"https://doi.org/10.1109/vcip.2017.8305079","title":"An LSTM method for predicting CU splitting in H.264 to HEVC transcoding","display_name":"An LSTM method for predicting CU splitting in H.264 to HEVC transcoding","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2793495148","doi":"https://doi.org/10.1109/vcip.2017.8305079","mag":"2793495148"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2017.8305079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","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/A5103220216","display_name":"Yanan Wei","orcid":"https://orcid.org/0000-0002-0305-8625"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan Wei","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103046319","display_name":"Zulin Wang","orcid":"https://orcid.org/0000-0002-1328-7739"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zulin Wang","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan, China","School of Electronic and Information Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079385534","display_name":"Mai Xu","orcid":"https://orcid.org/0000-0002-0277-3301"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mai Xu","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055249887","display_name":"Shuhao Qiao","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhao Qiao","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.7475,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73675949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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":0.9973999857902527,"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":0.9948999881744385,"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":0.8611810803413391},{"id":"https://openalex.org/keywords/transcoding","display_name":"Transcoding","score":0.8544607162475586},{"id":"https://openalex.org/keywords/macroblock","display_name":"Macroblock","score":0.7991232872009277},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5472627878189087},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4920608401298523},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.444842666387558},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42952263355255127},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.18244102597236633},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09133833646774292},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07627829909324646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8611810803413391},{"id":"https://openalex.org/C134535813","wikidata":"https://www.wikidata.org/wiki/Q1888734","display_name":"Transcoding","level":2,"score":0.8544607162475586},{"id":"https://openalex.org/C124828224","wikidata":"https://www.wikidata.org/wiki/Q2632668","display_name":"Macroblock","level":3,"score":0.7991232872009277},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5472627878189087},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4920608401298523},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.444842666387558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42952263355255127},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.18244102597236633},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09133833646774292},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07627829909324646},{"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/vcip.2017.8305079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.44999998807907104}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334945","display_name":"Fok Ying Tong Education Foundation","ror":"https://ror.org/01mv9t934"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1964348393","https://openalex.org/W2011945444","https://openalex.org/W2022061475","https://openalex.org/W2029142287","https://openalex.org/W2032171152","https://openalex.org/W2032402221","https://openalex.org/W2032447642","https://openalex.org/W2249765709","https://openalex.org/W2277839065","https://openalex.org/W2291137897","https://openalex.org/W2341592544","https://openalex.org/W2344439567","https://openalex.org/W2513540940","https://openalex.org/W2574921794","https://openalex.org/W6703767665"],"related_works":["https://openalex.org/W1585728209","https://openalex.org/W2751689576","https://openalex.org/W2099782448","https://openalex.org/W747254646","https://openalex.org/W2153874386","https://openalex.org/W2243903959","https://openalex.org/W2129948747","https://openalex.org/W2148361374","https://openalex.org/W2041737230","https://openalex.org/W3132006460"],"abstract_inverted_index":{"For":[0],"H.264":[1,36,59,92],"to":[2,19,56,78,93],"high":[3],"efficiency":[4],"video":[5],"coding":[6,21],"(HEVC)":[7],"transcoding,":[8],"this":[9],"paper":[10],"proposes":[11],"a":[12,44],"hierarchical":[13,45],"Long":[14],"Short-Term":[15],"Memory":[16],"(LSTM)":[17],"method":[18,88],"predict":[20],"unit":[22],"(CU)":[23],"splitting.":[24],"Specifically,":[25],"we":[26,41],"first":[27],"analyze":[28],"the":[29,57,76,86,90],"correlation":[30],"between":[31],"CU":[32,50],"splitting":[33,51],"patterns":[34],"and":[35,70,103],"features.":[37,60],"Upon":[38],"our":[39,79],"analysis,":[40],"further":[42],"propose":[43],"LSTM":[46,80],"architecture":[47],"for":[48],"predicting":[49],"of":[52,63,99],"HEVC,":[53],"with":[54],"regard":[55],"explored":[58],"The":[61],"features":[62],"H.264,":[64],"including":[65],"residual,":[66],"macroblock":[67],"(MB)":[68],"partition":[69],"bit":[71],"allocation,":[72],"are":[73],"employed":[74],"as":[75],"input":[77],"method.":[81],"Experimental":[82],"results":[83],"demonstrate":[84],"that":[85],"proposed":[87],"outperforms":[89],"state-of-the-art":[91],"HEVC":[94],"transcoding":[95],"methods,":[96],"in":[97],"terms":[98],"both":[100],"complexity":[101],"reduction":[102],"PSNR":[104],"performance.":[105]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}