{"id":"https://openalex.org/W2941558487","doi":"https://doi.org/10.1109/vcip.2018.8698657","title":"Efficient Rate Control Method for Logo Insertion Video Coding in HEVC","display_name":"Efficient Rate Control Method for Logo Insertion Video Coding in HEVC","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2941558487","doi":"https://doi.org/10.1109/vcip.2018.8698657","mag":"2941558487"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2018.8698657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2018.8698657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5001936323","display_name":"Yunchang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunchang Li","raw_affiliation_strings":["Institute of Computer Science & Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science & Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108057522","display_name":"Qi Jing","orcid":"https://orcid.org/0009-0001-1302-607X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Jing","raw_affiliation_strings":["Institute of Computer Science & Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science & Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102447111","display_name":"Yingfan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingfan Zhang","raw_affiliation_strings":["Institute of Computer Science & Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science & Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101761197","display_name":"Jun Sun","orcid":"https://orcid.org/0000-0001-6864-0803"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Sun","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001936323"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.1651,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.50500564,"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":null,"last_page":null},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9959999918937683,"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":0.9939000010490417,"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":0.7820147275924683},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6392626762390137},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.48945891857147217},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.357163667678833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34478291869163513},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.23598161339759827},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2242712378501892},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0932910144329071},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07300001382827759}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7820147275924683},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6392626762390137},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.48945891857147217},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.357163667678833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34478291869163513},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.23598161339759827},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2242712378501892},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0932910144329071},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07300001382827759}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2018.8698657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2018.8698657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1839689936","https://openalex.org/W1997312588","https://openalex.org/W2033140753","https://openalex.org/W2043292349","https://openalex.org/W2089427408","https://openalex.org/W2101700394","https://openalex.org/W2120051712","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2160560076","https://openalex.org/W2167359416","https://openalex.org/W2544835851","https://openalex.org/W2979673094","https://openalex.org/W2979990382","https://openalex.org/W6673125892","https://openalex.org/W6683712355","https://openalex.org/W6769015554"],"related_works":["https://openalex.org/W1891287906","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2755342338","https://openalex.org/W2229312674","https://openalex.org/W3116076068","https://openalex.org/W2368287095","https://openalex.org/W2076999302","https://openalex.org/W2372423583"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,54,67,80],"improve":[3],"the":[4,28,31,81,89,108],"network":[5],"transmission":[6],"stability":[7],"of":[8,75],"logo":[9,19,45],"inserted":[10,46],"video,":[11],"an":[12],"efficient":[13],"rate":[14,91],"control":[15,92],"method":[16,93],"for":[17,61],"HEVC":[18],"insertion":[20],"is":[21,49],"proposed":[22,32,90],"in":[23,38],"this":[24],"paper.":[25],"Based":[26],"on":[27,99],"acceleration":[29,109],"algorithm,":[30],"mehtod":[33],"optimizes":[34],"bit":[35,74],"allocation":[36],"process":[37],"region":[39],"and":[40],"CTU":[41],"level.":[42],"First,":[43],"each":[44],"video":[47,82],"frame":[48],"separated":[50],"into":[51],"different":[52,62],"regions":[53,63],"stop":[55],"pixel":[56],"error":[57],"propagation.":[58],"Then":[59],"bits":[60],"are":[64,77],"allocated":[65],"according":[66,79],"their":[68],"coding":[69],"characteristics.":[70],"At":[71],"last,":[72],"target":[73],"CTUs":[76],"adjusted":[78],"content":[83],"information.":[84],"Experimental":[85],"results":[86],"show":[87],"that":[88],"can":[94],"achieve":[95],"4.46%":[96],"BD-Rate":[97],"saving":[98],"average":[100],"with":[101,107],"only":[102],"2.26%":[103],"speed":[104],"loss":[105],"compared":[106],"algorithm.":[110]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}