{"id":"https://openalex.org/W2054028674","doi":"https://doi.org/10.1109/vcip.2014.7051545","title":"Complexity control of HEVC based on region-of-interest attention model","display_name":"Complexity control of HEVC based on region-of-interest attention model","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2054028674","doi":"https://doi.org/10.1109/vcip.2014.7051545","mag":"2054028674"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2014.7051545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2014.7051545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Visual Communications and Image Processing Conference","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/A5040495514","display_name":"Xin Deng","orcid":"https://orcid.org/0000-0002-4708-6572"},"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":true,"raw_author_name":"Xin Deng","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China","School of Electronic and Information Engineering, Beihang University Xueyuan Road, Beijing, 100191, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University Xueyuan Road, Beijing, 100191, 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","School of Electronic and Information Engineering, Beihang University Xueyuan Road, Beijing, 100191, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University Xueyuan Road, Beijing, 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102899011","display_name":"Shengxi Li","orcid":"https://orcid.org/0000-0003-4979-9290"},"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":"Shengxi Li","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China","School of Electronic and Information Engineering, Beihang University Xueyuan Road, Beijing, 100191, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University Xueyuan Road, Beijing, 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","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":["School of Electronic and Information Engineering, Beihang University, Beijing, China","School of Electronic and Information Engineering, Beihang University Xueyuan Road, Beijing, 100191, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University Xueyuan Road, Beijing, 100191, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040495514"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.2911,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.56180556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"225","last_page":"228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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":0.993399977684021,"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":0.741453230381012},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6774196028709412},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6651748418807983},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.643804669380188},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.5531936883926392},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49124759435653687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35634034872055054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17669251561164856},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07254612445831299}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.741453230381012},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6774196028709412},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6651748418807983},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.643804669380188},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.5531936883926392},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49124759435653687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35634034872055054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17669251561164856},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07254612445831299}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2014.7051545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2014.7051545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Visual Communications and Image Processing Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1591810879","https://openalex.org/W2028497057","https://openalex.org/W2031349701","https://openalex.org/W2042979538","https://openalex.org/W2044884093","https://openalex.org/W2101620528","https://openalex.org/W2109479440","https://openalex.org/W2131070359","https://openalex.org/W2142036176","https://openalex.org/W2146395539","https://openalex.org/W2150089956","https://openalex.org/W2167553001","https://openalex.org/W6657818990"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2544423928","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2052122378","https://openalex.org/W4235381733","https://openalex.org/W2189341500"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,18,44,70,93],"novel":[6],"complexity":[7,38,68,89,96],"control":[8,39],"method":[9,108],"of":[10,53,77,115],"HEVC":[11],"to":[12,33,48,60,69,92,111],"adjust":[13],"its":[14],"encoding":[15,67,88],"complexity.":[16],"First,":[17],"region-of-interest":[19],"(ROI)":[20],"attention":[21],"model":[22],"is":[23,41,109],"established,":[24],"which":[25],"defines":[26],"different":[27],"weights":[28],"for":[29],"various":[30],"regions":[31],"according":[32,59],"their":[34,61],"importance.":[35],"Then,":[36],"the":[37,50,54,66,75,82,87,113],"algorithm":[40],"proposed":[42],"with":[43,101],"distortion-complexity":[45],"optimization":[46],"model,":[47],"determine":[49],"maximum":[51],"depth":[52],"largest":[55],"coding":[56],"units":[57],"(LCUs)":[58],"weights.":[62],"We":[63],"can":[64,90],"reduce":[65],"given":[71],"target":[72,95],"level":[73],"at":[74],"cost":[76],"little":[78],"distortion":[79],"loss.":[80],"Finally,":[81],"experimental":[83],"results":[84],"show":[85],"that":[86],"drop":[91],"pre-defined":[94],"as":[97,99],"low":[98],"20%":[100],"bias":[102],"less":[103],"than":[104,118],"7%.":[105],"Meanwhile,":[106],"our":[107],"verified":[110],"preserve":[112],"quality":[114],"ROI":[116],"better":[117],"another":[119],"state-of-the-art":[120],"approach.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
