{"id":"https://openalex.org/W2508638141","doi":"https://doi.org/10.1109/icip.2016.7533158","title":"Adaptive quantization parameter cascading for random-access prediction in H.265/HEVC based on dependent R-D models","display_name":"Adaptive quantization parameter cascading for random-access prediction in H.265/HEVC based on dependent R-D models","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2508638141","doi":"https://doi.org/10.1109/icip.2016.7533158","mag":"2508638141"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7533158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5100713632","display_name":"Yuan Yang","orcid":"https://orcid.org/0000-0002-3193-2666"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Yang","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055653807","display_name":"Shuai Wan","orcid":"https://orcid.org/0000-0001-8617-149X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Wan","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027508507","display_name":"Yanchao Gong","orcid":"https://orcid.org/0000-0002-1620-1101"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanchao Gong","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016349203","display_name":"Kaifang Yang","orcid":"https://orcid.org/0000-0002-3173-0394"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaifang Yang","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100713632"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.5044,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.63903775,"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":"4235","last_page":"4239"},"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":0.9988999962806702,"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/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6946464776992798},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6510929465293884},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.647087037563324},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.6309987306594849},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.6166220307350159},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6079868674278259},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.5902984142303467},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5798112154006958},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.49439191818237305},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.43950018286705017},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4382420778274536},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37619221210479736},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3058706521987915},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15514856576919556},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.15514522790908813},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.073383629322052}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6946464776992798},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6510929465293884},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.647087037563324},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.6309987306594849},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.6166220307350159},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6079868674278259},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5902984142303467},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5798112154006958},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.49439191818237305},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.43950018286705017},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4382420778274536},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37619221210479736},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3058706521987915},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15514856576919556},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.15514522790908813},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.073383629322052},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7533158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2036032649","https://openalex.org/W2101700394","https://openalex.org/W2103975552","https://openalex.org/W2124879657","https://openalex.org/W2135266452","https://openalex.org/W2146395539","https://openalex.org/W2172073677","https://openalex.org/W6675207249"],"related_works":["https://openalex.org/W2120182993","https://openalex.org/W1506877045","https://openalex.org/W2992711139","https://openalex.org/W2587249265","https://openalex.org/W2103981088","https://openalex.org/W2946266302","https://openalex.org/W2043855256","https://openalex.org/W4304809035","https://openalex.org/W2999286556","https://openalex.org/W2088894239"],"abstract_inverted_index":{"In":[0],"H.265/HEVC,":[1],"the":[2,9,14,18,32,38,60,66,77,91],"random-access":[3],"prediction":[4],"structure":[5],"helps":[6],"to":[7,58,86],"increase":[8],"coding":[10],"efficiency":[11],"and":[12,40,46,53],"provides":[13],"temporal":[15,44],"scalability.":[16],"However,":[17],"quantization":[19],"parameter":[20],"cascading":[21],"(QPC)":[22],"strategy":[23],"being":[24,81,95],"used":[25],"is":[26],"not":[27],"optimized":[28],"in":[29],"terms":[30],"of":[31,74],"rate-distortion":[33],"performance.":[34],"This":[35],"paper":[36],"analyzes":[37],"rate":[39,56],"distortion":[41,51],"dependency":[42],"between":[43],"layers,":[45],"proposes":[47],"a":[48,54],"PSNR":[49],"metric-based":[50],"model":[52,57],"piecewise":[55],"optimize":[59],"QPC.":[61],"Experimental":[62],"results":[63],"demonstrate":[64],"that":[65],"proposed":[67],"algorithm":[68],"achieves":[69],"an":[70,84],"average":[71,92],"APSNR":[72,79],"gain":[73,80],"0.12dB":[75],"with":[76,90],"maximum":[78],"0.37dB.":[82],"Meanwhile,":[83],"up":[85],"8.7%":[87],"BD-rate":[88,93],"reduction":[89,94],"3.3%":[96],"can":[97],"be":[98],"obtained.":[99]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"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"}