{"id":"https://openalex.org/W4406861247","doi":"https://doi.org/10.1109/vcip63160.2024.10849850","title":"A Fast Texture-Based 8K Intra-Partitioning Algorithm for Versatile Video Coding (VVC)","display_name":"A Fast Texture-Based 8K Intra-Partitioning Algorithm for Versatile Video Coding (VVC)","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4406861247","doi":"https://doi.org/10.1109/vcip63160.2024.10849850"},"language":"en","primary_location":{"id":"doi:10.1109/vcip63160.2024.10849850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip63160.2024.10849850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on 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/A5000554192","display_name":"A. Simsek","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Altu\u011f \u015eim\u015fek","raw_affiliation_strings":["Boğaziçi University,Electrical & Electronics Engineering Dept.,Istanbul,Türkiye"],"affiliations":[{"raw_affiliation_string":"Boğaziçi University,Electrical & Electronics Engineering Dept.,Istanbul,Türkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052669741","display_name":"G\u00fcnhan D\u00fcndar","orcid":"https://orcid.org/0000-0003-2044-2706"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G\u00fcnhan D\u00fcndar","raw_affiliation_strings":["Boğaziçi University,Electrical & Electronics Engineering Dept.,Istanbul,Türkiye"],"affiliations":[{"raw_affiliation_string":"Boğaziçi University,Electrical & Electronics Engineering Dept.,Istanbul,Türkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000554192"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3518,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61247547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9957000017166138,"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":0.9957000017166138,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9732999801635742,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9616000056266785,"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":0.8123305439949036},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5777121782302856},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46846339106559753},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07424944639205933}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8123305439949036},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5777121782302856},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46846339106559753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07424944639205933},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip63160.2024.10849850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip63160.2024.10849850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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":13,"referenced_works":["https://openalex.org/W832984975","https://openalex.org/W2335864408","https://openalex.org/W2987291011","https://openalex.org/W3035631597","https://openalex.org/W3091225163","https://openalex.org/W3132542240","https://openalex.org/W3134285717","https://openalex.org/W3183773978","https://openalex.org/W3202918664","https://openalex.org/W3210387535","https://openalex.org/W4221089885","https://openalex.org/W4295308643","https://openalex.org/W4304175850"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Versatile":[0],"Video":[1],"Coding":[2,70,81],"(VVC),":[3],"standardized":[4],"in":[5,96,119,179,184,188,193,202],"2022":[6],"as":[7],"ITU-T":[8],"Recommendation":[9],"H.266,":[10],"ISO/IEC":[11],"23090-3":[12],"and":[13,75,142,163,166,190,210],"MPEG-I":[14],"Part3,":[15],"is":[16,40,49,198],"the":[17,34,41,94,103,120,156],"latest":[18],"block-based":[19],"hybrid":[20],"video":[21,141],"coding":[22,118],"standard.":[23],"It":[24],"defines":[25],"many":[26],"tools":[27],"to":[28,54,78,91,102],"increase":[29,178],"compression":[30,157],"efficiency":[31,158,209],"while":[32],"maintaining":[33],"same":[35],"quality":[36,160],"level.":[37],"The":[38,44],"tradeoff":[39],"computational":[42,167],"complexity.":[43],"intra-coding":[45],"loop":[46],"of":[47,57,107],"VVC":[48,121],"computationally":[50],"very":[51],"complex":[52],"due":[53],"its":[55,144],"nature":[56],"iteratively":[58],"trying":[59],"all":[60],"possible":[61],"Quad-Tree":[62],"Multitype-Tree":[63],"(QTMT)":[64],"partitioning":[65],"alternatives":[66],"starting":[67],"from":[68],"128x128":[69],"Tree":[71],"Unit":[72,82],"(CTU)":[73],"size":[74,106],"going":[76],"down":[77],"4x4":[79],"min":[80],"(CU)":[83],"size.":[84],"For":[85],"camera-taken":[86],"real-world":[87],"broadcast":[88],"video,":[89,115],"compared":[90],"smaller":[92],"resolutions,":[93],"objects":[95],"8K":[97,114,140],"are":[98],"larger":[99],"with":[100,146,175,204],"respect":[101],"fixed":[104],"CTU":[105],"VVC.":[108],"As":[109],"a":[110,134,199,205],"result,":[111],"for":[112,126,139],"such":[113],"less":[116],"detailed":[117],"QTMT":[122],"may":[123],"be":[124],"enough":[125],"practical":[127],"purposes.":[128],"In":[129],"this":[130],"paper,":[131],"we":[132],"define":[133],"new":[135],"fast":[136],"intra-partitioning":[137],"algorithm":[138],"compare":[143],"performance":[145],"Common":[147],"Test":[148],"Conditions":[149],"(CTC)":[150],"All-Intra":[151],"(AI)":[152],"configuration":[153],"based":[154],"on":[155,195,208],"(bits),":[159],"(Y-PSNR,":[161],"SSIM":[162,189],"MS-SSIM":[164,194],"metrics),":[165],"complexity":[168,203],"(runtime).":[169],"We":[170],"observe":[171],"81.61%":[172],"runtime":[173],"gain":[174,201],"only":[176],"2.99%":[177],"bitrate,":[180],"0.1339":[181],"dB":[182],"decrease":[183,187,192],"Y-PSNR,":[185],"0.0022":[186],"0.0007":[191],"average.":[196],"This":[197],"remarkable":[200],"limited":[206],"effect":[207],"quality.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}