{"id":"https://openalex.org/W2999337578","doi":"https://doi.org/10.1109/pcs48520.2019.8954541","title":"Predicting Rate Control Target Through A Learning Based Content Adaptive Model","display_name":"Predicting Rate Control Target Through A Learning Based Content Adaptive Model","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2999337578","doi":"https://doi.org/10.1109/pcs48520.2019.8954541","mag":"2999337578"},"language":"en","primary_location":{"id":"doi:10.1109/pcs48520.2019.8954541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs48520.2019.8954541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Picture Coding Symposium (PCS)","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/A5069616209","display_name":"Huaifei Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huaifei Xing","raw_affiliation_strings":["Baidu Inc.,Beijing,China","Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc.,Beijing,China","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103102661","display_name":"Zhichao Zhou","orcid":"https://orcid.org/0000-0002-7775-0999"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichao Zhou","raw_affiliation_strings":["Baidu Inc.,Beijing,China","Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc.,Beijing,China","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100677918","display_name":"Jialiang Wang","orcid":"https://orcid.org/0000-0002-2776-5703"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialiang Wang","raw_affiliation_strings":["Baidu Inc.,Beijing,China","Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc.,Beijing,China","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100834498","display_name":"Huifeng Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huifeng Shen","raw_affiliation_strings":["Baidu Inc.,Beijing,China","Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc.,Beijing,China","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018276259","display_name":"Dongliang He","orcid":"https://orcid.org/0000-0002-1129-8610"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongliang He","raw_affiliation_strings":["Baidu Inc.,Beijing,China","Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc.,Beijing,China","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100324319","display_name":"Fu Li","orcid":"https://orcid.org/0000-0003-0319-0308"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fu Li","raw_affiliation_strings":["Baidu Inc.,Beijing,China","Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc.,Beijing,China","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5069616209"],"corresponding_institution_ids":["https://openalex.org/I98301712"],"apc_list":null,"apc_paid":null,"fwci":0.6634,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.70320363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9987000226974487,"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/encoding","display_name":"Encoding (memory)","score":0.7643336057662964},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7246562242507935},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6579810976982117},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.496770441532135},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.459194540977478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39929160475730896},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3692811131477356},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26299136877059937}],"concepts":[{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7643336057662964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7246562242507935},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6579810976982117},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.496770441532135},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.459194540977478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39929160475730896},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3692811131477356},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26299136877059937}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pcs48520.2019.8954541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs48520.2019.8954541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Picture Coding Symposium (PCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.47999998927116394,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2008575335","https://openalex.org/W2032198961","https://openalex.org/W2160865195","https://openalex.org/W2409081178","https://openalex.org/W2480189648","https://openalex.org/W2507009361","https://openalex.org/W2517598826","https://openalex.org/W2530627729","https://openalex.org/W2566176507","https://openalex.org/W2751071708","https://openalex.org/W2770573181","https://openalex.org/W2792078446","https://openalex.org/W2798868324","https://openalex.org/W2883780447","https://openalex.org/W2904679285","https://openalex.org/W2962899219","https://openalex.org/W2963398015","https://openalex.org/W4230238249","https://openalex.org/W6724944384","https://openalex.org/W6749951977","https://openalex.org/W6753767121"],"related_works":["https://openalex.org/W1982160337","https://openalex.org/W1971380437","https://openalex.org/W1983548084","https://openalex.org/W2141691317","https://openalex.org/W2110846987","https://openalex.org/W2160609742","https://openalex.org/W2979526210","https://openalex.org/W1997414638","https://openalex.org/W2031091109","https://openalex.org/W4235381733"],"abstract_inverted_index":{"Rate":[0],"Control":[1],"(RC)":[2],"plays":[3],"an":[4],"important":[5],"role":[6],"in":[7,28],"video":[8,31,51],"encoding.":[9],"Traditional":[10],"solutions":[11],"are":[12],"using":[13],"fixed":[14,17],"rate":[15,48,60],"or":[16],"quantization":[18],"parameters":[19],"as":[20],"the":[21,50,73,79,87,92,97,105,112],"unified":[22,34],"rate-control":[23,35,75],"targets":[24,36],"for":[25,49],"all":[26],"videos":[27],"one":[29,58,65],"given":[30],"application.":[32],"However,":[33],"tend":[37],"to":[38,78,100],"have":[39],"some":[40],"bad":[41],"encoding":[42,113],"cases":[43],"because":[44],"of":[45],"applying":[46],"wrong":[47],"content.":[52],"In":[53],"this":[54,103],"paper,":[55],"we":[56],"propose":[57],"content-adaptive":[59],"control":[61],"solution.":[62],"We":[63],"employ":[64],"neural-network":[66],"based":[67],"model":[68,89],"which":[69],"can":[70,90,109],"end-to-end":[71],"learn":[72],"optimal":[74,93],"target":[76],"appropriate":[77],"content":[80],"characteristics.":[81],"The":[82],"experimental":[83],"results":[84],"show":[85],"that":[86],"proposed":[88,106],"predict":[91],"rate-factor":[94],"value":[95],"with":[96],"accuracy":[98],"up":[99],"77.637%.":[101],"With":[102],"model,":[104],"video-encoding":[107],"method":[108],"significantly":[110],"decrease":[111],"quality":[114],"fluctuation.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}