Libavm kitabxanas\u0131n\u0131n ilk stabil burax\u0131l\u0131\u015f\u0131n\u0131n d\u0259rcind\u0259n sonra, Open Media (AOMedia) alyans\u0131 AV2 kodekinin spesifikasiyas\u0131n\u0131n stabill\u0259\u015fdiyini r\u0259smi olaraq elan etdi. Kodexin stabill\u0259\u015fm\u0259sind\u0259n sonra i\u015f, AV2-nin populyar ax\u0131n protokollar\u0131 il\u0259 inteqrasiyas\u0131na, pe\u015f\u0259kar istifad\u0259 \u00fc\u00e7\u00fcn profill\u0259rin yarad\u0131lmas\u0131na v\u0259 AV2 format\u0131nda videolar\u0131n kodla\u015fd\u0131r\u0131lmas\u0131 v\u0259 dekodla\u015fd\u0131r\u0131lmas\u0131 \u00fc\u00e7\u00fcn hardware imkanlar\u0131n\u0131n inki\u015faf\u0131na y\u00f6n\u0259ldildi. Pe\u015f\u0259kar film \u00e7\u0259km\u0259k v\u0259 HDR \u00fc\u00e7\u00fcn 12 bitlik profil, ISO BMFF (MPEG-4 Part 12) \u0259sasl\u0131 video konteyner format\u0131 v\u0259 spesifikasiyaya uy\u011fun olan \u00fc\u00e7\u00fcnc\u00fc t\u0259r\u0259f t\u0259tbiqetm\u0259l\u0259rinin uyumlulu\u011funu qiym\u0259tl\u0259ndirm\u0259k \u00fc\u00e7\u00fcn test d\u0259stl\u0259ri haz\u0131rlan\u0131r.<\/p>\n
AV2 format\u0131 Amazon, Apple, Cisco, Google, Huawei, Intel, Meta, Microsoft, Mozilla, Netflix, NVIDIA, Samsung Electronics v\u0259 Tencent \u015firk\u0259tl\u0259rinin i\u015ftirak\u0131 il\u0259 yarad\u0131lm\u0131\u015fd\u0131r v\u0259 patentl\u0259r\u0259 pulsuz daxil olma imkan\u0131n\u0131 v\u0259 kodekd\u0259n lisenziya \u00f6d\u0259ni\u015fl\u0259ri olmadan istifad\u0259 etm\u0259yi t\u0259min edir. AV1-d\u0259n f\u0259rqli olaraq, yeni kodek s\u0131x\u0131lma effektivliyinin art\u0131r\u0131lmas\u0131 il\u0259 se\u00e7ilir, bu da \u0259vv\u0259lki bit s\u00fcr\u0259tini saxlayark\u0259n keyfiyy\u0259ti art\u0131rma\u011fa v\u0259 ya keyfiyy\u0259tini d\u0259yi\u015fm\u0259d\u0259n bit s\u00fcr\u0259tini azaltma\u011fa imkan tan\u0131y\u0131r. Kodek m\u00fcxt\u0259lif istifad\u0259 senaril\u0259ri \u00fc\u00e7\u00fcn optimalla\u015fd\u0131r\u0131l\u0131b, bunlara ax\u0131n yay\u0131m\u0131, ist\u0259diyiniz zaman videolar\u0131n t\u0259qdimat\u0131 (VOD), videokonfranslarda i\u015ftirak v\u0259 virtual v\u0259 art\u0131r\u0131lm\u0131\u015f reall\u0131q t\u0259tbiql\u0259ri daxildir. Eyni bitstream-d\u0259 bir ne\u00e7\u0259 ax\u0131n\u0131n eyni zamanda \u00f6t\u00fcr\u00fclm\u0259si senaril\u0259ri d\u0259 d\u0259st\u0259kl\u0259nir, m\u0259s\u0259l\u0259n, stereoskopik videonun yay\u0131mlanmas\u0131, f\u0259rqli kameralar\u0131n g\u00f6r\u00fcnt\u00fcl\u0259ri v\u0259 birl\u0259\u015fdirilmi\u015f videolar.<\/p>\n
AV2, daha b\u00fcy\u00fck 256\u00d7256 s\u00fcper bloklar, tamamen yinelemeli b\u00f6l\u00fcmleme (partitioning) ve daha etkili parlakl\u0131k ve renk ayr\u0131m\u0131 sunan hibrit blok tabanl\u0131 bir yap\u0131 kullanmaya devam ediyor. 8, 10 ve 12-bit video i\u00e7in daha geni\u015f bir parlakl\u0131k aral\u0131\u011f\u0131n\u0131 kapsayan ve daha iyi kuantizasyon sa\u011flanan birle\u015fik \u00fcstel kuantizat\u00f6r kullan\u0131lm\u0131\u015ft\u0131r, ayr\u0131ca d\u00fc\u015f\u00fck bit h\u0131zlar\u0131n\u0131 daha iyi y\u00f6netmektedir. \u00c7er\u00e7eveler aras\u0131 de\u011fi\u015fikliklerin tahmin yetenekleri, parlakl\u0131k ve renk de\u011fi\u015fikliklerinin modellemesinin kalitesini art\u0131rmak i\u00e7in modernize edilmi\u015ftir. Model olu\u015fturma a\u015famas\u0131nda 7 \u00f6nceki \u00e7er\u00e7eveyi dikkate almakta, zamansal (temporal) interpolasyonu desteklemekte ve y\u00fcksek \u00e7\u00f6z\u00fcn\u00fcrl\u00fckl\u00fc veya h\u0131zl\u0131 de\u011fi\u015fen i\u00e7erik i\u00e7eren videolarda hareketi daha iyi i\u015fleyebilmektedir. G\u00fcr\u00fclt\u00fc azaltma, s\u0131k\u0131\u015ft\u0131rma kaynakl\u0131 bozulmalar\u0131 hafifletme ve detaylar\u0131 koruma amac\u0131yla ek filtreler uygulanm\u0131\u015ft\u0131r. <\/p>\n
VideoLAN layih\u0259si, kodlay\u0131c\u0131 standart\u0131n\u0131 h\u0259yata ke\u00e7irm\u0259k m\u0259qs\u0259dil\u0259 AV2 format\u0131nda alternativ video dekoderi olan dav2d kitabxanas\u0131n\u0131 inki\u015faf etdirir. Dav2d kitabxanas\u0131 m\u0259qs\u0259d v\u0259 memarl\u0131q bax\u0131m\u0131ndan dav1d layih\u0259sin\u0259 b\u0259nz\u0259yir, AV1 \u0259v\u0259zin\u0259 AV2 kodlay\u0131c\u0131s\u0131n\u0131n realla\u015fd\u0131rmas\u0131 il\u0259 f\u0259rql\u0259nir. B\u0259zi \u00fcmumi imkanlar dav1d kod bazas\u0131ndan k\u00f6\u00e7\u00fcr\u00fcl\u00fcb. Layih\u0259 maksimum m\u0259hsuldarl\u0131\u011f\u0131 t\u0259min etm\u0259k \u00fc\u00e7\u00fcn optimalla\u015fd\u0131r\u0131l\u0131b v\u0259 b\u00fct\u00fcn d\u0259st\u0259klenen platformalar \u00fczr\u0259 AV2 dekoderl\u0259ri aras\u0131nda \u0259n s\u00fcr\u0259tli oldu\u011fu bildirilir. Hal-haz\u0131rda dav2d, x86 (AVX2), ARM (AArch64 NEON) v\u0259 RISC-V arxitekturalar\u0131 \u00fc\u00e7\u00fcn geni\u015fl\u0259ndirilmi\u015f instrukksiya d\u0259stl\u0259ri \u00fcz\u0259rind\u0259 optimizasiya ed\u0259r\u0259k 8- v\u0259 12-bit t\u0259svirl\u0259rin dekodla\u015fd\u0131r\u0131lmas\u0131n\u0131 d\u0259st\u0259kl\u0259yir. \u0421\u043b\u0435\u0434\u043e\u043c \u0437\u0430 \u043f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u0435\u0439 \u043f\u0435\u0440\u0432\u043e\u0433\u043e \u0441\u0442\u0430\u0431\u0438\u043b\u044c\u043d\u043e\u0433\u043e \u0440\u0435\u043b\u0438\u0437\u0430 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 libavm \u0441 \u044d\u0442\u0430\u043b\u043e\u043d\u043d\u043e\u0439 \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0439 \u0444\u043e\u0440\u043c\u0430\u0442\u0430 \u043a\u043e\u0434\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e AV2, \u0430\u043b\u044c\u044f\u043d\u0441 Open Media (AOMedia) \u043e\u0444\u0438\u0446\u0438\u0430\u043b\u044c\u043d\u043e \u043e\u0431\u044a\u044f\u0432\u0438\u043b \u043e \u0441\u0442\u0430\u0431\u0438\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u0441\u043f\u0435\u0446\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438 \u043a\u043e\u0434\u0435\u043a\u0430 AV2. \u041f\u043e\u0441\u043b\u0435 \u0441\u0442\u0430\u0431\u0438\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u043a\u043e\u0434\u0435\u043a\u0430 \u0440\u0430\u0431\u043e\u0442\u0430 \u043f\u0435\u0440\u0435\u043a\u043b\u044e\u0447\u0438\u043b\u0430\u0441\u044c \u043d\u0430 \u0438\u043d\u0442\u0435\u0433\u0440\u0430\u0446\u0438\u044e AV2 \u0441 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u043c\u0438 \u0441\u0442\u0440\u0438\u043c\u0438\u043d\u0433\u043e\u0432\u044b\u043c\u0438 \u043f\u0440\u043e\u0442\u043e\u043a\u043e\u043b\u0430\u043c\u0438, \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0435 \u043f\u0440\u043e\u0444\u0438\u043b\u0435\u0439 \u0434\u043b\u044f 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M\u0259nb\u0259: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"