{"id":"https://openalex.org/W3000026832","doi":"https://doi.org/10.1145/3338533.3366630","title":"An LSTM based Rate and Distortion Prediction Method for Low-delay Video Coding","display_name":"An LSTM based Rate and Distortion Prediction Method for Low-delay Video Coding","publication_year":2019,"publication_date":"2019-12-15","ids":{"openalex":"https://openalex.org/W3000026832","doi":"https://doi.org/10.1145/3338533.3366630","mag":"3000026832"},"language":"en","primary_location":{"id":"doi:10.1145/3338533.3366630","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3338533.3366630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Multimedia Asia","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/A5101872279","display_name":"Feiyang Liu","orcid":"https://orcid.org/0009-0007-7057-8739"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiyang Liu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066655680","display_name":"Guiyan Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiyan Cao","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078800429","display_name":"Daiqin Yang","orcid":"https://orcid.org/0000-0002-3983-6142"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daiqin Yang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112435305","display_name":"Yiyong Zha","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyong Zha","raw_affiliation_strings":["Tencent, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613465","display_name":"Yunfei Zhang","orcid":"https://orcid.org/0000-0001-8160-7995"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfei Zhang","raw_affiliation_strings":["Tencent, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100746263","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0003-0246-8144"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["Tencent, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"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":1.0,"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":1.0,"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":0.9990000128746033,"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/T10901","display_name":"Advanced Data Compression Techniques","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/computer-science","display_name":"Computer science","score":0.8092639446258545},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6969819068908691},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.5427011847496033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5407604575157166},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.4691274166107178},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3498656451702118},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3061448633670807},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.21622848510742188},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09004169702529907},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06929323077201843}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8092639446258545},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6969819068908691},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.5427011847496033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5407604575157166},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.4691274166107178},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3498656451702118},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3061448633670807},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.21622848510742188},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09004169702529907},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06929323077201843}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3338533.3366630","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3338533.3366630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Multimedia Asia","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":18,"referenced_works":["https://openalex.org/W1964204065","https://openalex.org/W1967483773","https://openalex.org/W1997706589","https://openalex.org/W2000300314","https://openalex.org/W2062432050","https://openalex.org/W2064675550","https://openalex.org/W2099340003","https://openalex.org/W2105869895","https://openalex.org/W2116261113","https://openalex.org/W2132135004","https://openalex.org/W2139501017","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2149591893","https://openalex.org/W2158017793","https://openalex.org/W2169161136","https://openalex.org/W2407574721","https://openalex.org/W2623587439"],"related_works":["https://openalex.org/W2735437354","https://openalex.org/W2908833932","https://openalex.org/W2022760311","https://openalex.org/W4254232196","https://openalex.org/W1579233721","https://openalex.org/W2018760684","https://openalex.org/W2242376282","https://openalex.org/W2560965210","https://openalex.org/W2120007390","https://openalex.org/W2271827173"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"an":[3],"LSTM":[4,23],"based":[5],"rate-distortion":[6],"(R-D)":[7],"prediction":[8,76],"method":[9,77,99,105],"for":[10],"low-delay":[11],"video":[12,39],"coding":[13,44],"has":[14],"been":[15,59],"proposed.":[16],"Unlike":[17],"the":[18,28,32,36,48,51,68,92,97,103],"traditional":[19],"rate":[20],"control":[21],"algorithms,":[22],"is":[24,54,78],"introduced":[25],"to":[26,55,61,91],"learn":[27],"latent":[29],"pattern":[30],"of":[31,38,50,85],"R-D":[33,73],"relationship":[34],"in":[35,101],"progress":[37],"coding.":[40],"Temporal":[41],"information,":[42],"hierarchical":[43],"structure":[45],"information":[46],"and":[47,80],"content":[49],"frame":[52],"which":[53],"be":[56],"encoded":[57],"have":[58],"used":[60,100],"achieve":[62,107],"more":[63],"accurate":[64],"prediction.":[65],"Based":[66],"on":[67,82],"proposed":[69,79,104],"network,":[70],"a":[71],"new":[72],"model":[74,84],"parameters":[75],"tested":[81],"test":[83],"Versatile":[86],"Video":[87],"Coding":[88],"(VVC).":[89],"According":[90],"experimental":[93],"results,":[94],"compared":[95],"with":[96],"state-of-the-art":[98],"VVC,":[102],"can":[106],"better":[108],"performance.":[109]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}