{"id":184097,"date":"2026-11-02T23:40:40","date_gmt":"2026-11-02T21:40:40","guid":{"rendered":"https:\/\/prohoster.info\/blog\/news\/vypusk-svt-av1-4-3-0-kodirovshhika-dlya-formata-video-av1"},"modified":"2026-11-02T23:40:47","modified_gmt":"2026-11-02T21:40:47","slug":"svt-av1-4-3-0-av1-video-encoder-released","status":"publish","type":"post","link":"https:\/\/prohoster.info\/no\/blog\/news\/svt-av1-4-3-0-av1-video-encoder-released","title":{"rendered":"Utslepp av SVT-AV1 4.3.0, en kodek for videoforfattingsformatet AV1.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Utgitt versjon 4.3.0 av SVT-AV1-biblioteket (Scalable Video Technology AV1) med implementeringer av encoder og decoder for AV1 video koding, som bruker tilgjengelige x86_64 og ARM prosessorer for hardwaresynkronisering av beregninger. Prosjektet er utviklet av Intel i samarbeid med Netflix med m\u00e5l om \u00e5 oppn\u00e5 en ytelse som er egnet for sanntids videotranskoding og bruk i video-on-demand (VOD) tjenester. Utviklingen skjer n\u00e5 under AOMedia, som overv\u00e5ker utviklingen av AV1 video kodingsformatet. Prosjektet ble tidligere utviklet under OpenVisualCloud, som ogs\u00e5 utvikler SVT-HEVC og SVT-VP9 kodere. Koden distribueres under BSD-lisensen. <\/p>\n<p>SVT-AV1 kan bygges for systemer basert p\u00e5 alle arkitekturer som har en kompilator med st\u00f8tte for C99-standarden, men best ytelse oppn\u00e5s p\u00e5 x86_64-systemer, der det brukes assembleroptimaliseringer basert p\u00e5 SIMD-instruksjoner (det anbefales at CPU-en st\u00f8tter AVX2, men minimumsbehovet er SSE2). Minneforbruket avhenger av antall prosessorkjerner som er involvert i koding, regulert av alternativet &#171;&#8212;lp&#187;. P\u00e5 grunn av kompleksiteten i algoritmene som brukes i AV1-formatet, krever koding av dette formatet betydelig flere ressurser enn andre formater. <\/p>\n<p>Blant endringene i den nye utgaven av SVT-AV1:<\/p>\n<ul>\n<li class=\"l\"> Optimaliseringer av kompromissene mellom kvalitet\/hastighet er gjennomf\u00f8rt for alle forh\u00e5ndsinnstillinger, noe som har redusert belastningen p\u00e5 CPU-en med 5-8 % samtidig som samme kvalitetsniv\u00e5 er opprettholdt, samt redusert kodetiden med 10-11 % i flertr\u00e5det modus. Utf\u00f8relsen av operasjoner for \u00e5 utelukke ineffektive kodingsmoduser (MD &#8212; Mode Decision), beregning av bevegelsesvektorer (MV &#8212; Motion Vector) og filterparametere under koding, beregning av st\u00f8rrelsen p\u00e5 frekvenskoeffisientene, s\u00f8k etter sub-pikselforskyvninger, kopiering av blokker og fjerning av un\u00f8dvendig detaljering ved hjelp av RDOQ-algoritmen (Rate-Distortion Optimized Quantization) har blitt akselerert. I flertr\u00e5det modus, for \u00e5 spare ressurser, brukes algoritmen for \u00e5 bestemme innholdstransmisjon n\u00e5 kun p\u00e5 I-rammer.\n<li class=\"l\"> En eksperimentell flagg &#171;&#8212;fast-decode 3&#187; er lagt til for \u00e5 akselerere dekoderingen av statiske bilder.\n<li class=\"l\"> Flagget &#171;&#8212;fgs-table&#187; er lagt til, som aktiverer st\u00f8tte for korn-tabeller (film grain), og API FILM_GRAIN_EVENT for \u00e5 angi kornparametere knyttet til rammer.\n<li class=\"l\"> Raskere tapfri koding er implementert.\n<li class=\"l\"> I lav-latens kodingsmodus er parallellbehandling av blokkene (tile) implementert.\n<li class=\"l\"> Alternativet &#171;max_allowed_consecutive_frames_skips&#187; er lagt til for \u00e5 justere rammensprang i konstant bitrate-modus (CBR).\n<li class=\"l\"> Parameteren &#171;max_hierarchical_levels&#187; er lagt til for \u00e5 styre bufferen som brukes ved endring av st\u00f8rrelsen p\u00e5 grupper av mellomrammer (mini-GOP &#8212; Group of Pictures).\n<li class=\"l\"> Byggalternativet &#171;&#8212;mobile-build&#187; (i CMake &#8212; MOBILE_BUILD) er lagt til for \u00e5 lage en 8-bits bibliotek for RTC, VOD og AVIF. Alternativene CONFIG_ENABLE_* er lagt til for \u00e5 deaktivere byggingen av ubrukte kodingsverkt\u00f8y.\n<li class=\"l\"> For x86-systemer er det implementert 8-bits CDEF-h\u00e5ndterere basert p\u00e5 AVX2- og SSE4.1-instruksjoner, samt 16-bits direkte transformasjoner basert p\u00e5 AVX2- og AVX-512-instruksjoner. Optimalisert kode for mellomrammeforutsigelse, palettbehandling og transformasjoner er lagt til, basert p\u00e5 SSE4.1-instruksjoner. H\u00e5ndterere for kvantisering, blokkekopiering, beregning av forvrengninger og evaluering av sub-pikselforskjeller har blitt optimalisert.\n<li class=\"l\"> For ARM-systemer er det lagt til varianter av h\u00e5ndterere som er akselerert ved hjelp av prosessorinstruksjoner fra Neon.\n<\/ul>\n<p>Kilde: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=66596\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u0432\u044b\u043f\u0443\u0441\u043a \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 SVT-AV1 4.3.0 (Scalable Video Technology AV1) c \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f\u043c\u0438 \u043a\u043e\u0434\u0438\u0440\u043e\u0432\u0449\u0438\u043a\u0430 \u0438 \u0434\u0435\u043a\u043e\u0434\u0438\u0440\u043e\u0432\u0449\u0438\u043a\u0430 \u0444\u043e\u0440\u043c\u0430\u0442\u0430 \u043a\u043e\u0434\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e AV1, \u0434\u043b\u044f \u0443\u0441\u043a\u043e\u0440\u0435\u043d\u0438\u044f \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0437\u0430\u0434\u0435\u0439\u0441\u0442\u0432\u043e\u0432\u0430\u043d\u044b \u043f\u0440\u0438\u0441\u0443\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u0435 \u0432 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430\u0445 x86_64 \u0438 ARM \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u0438\u044f \u0434\u043b\u044f \u0430\u043f\u043f\u0430\u0440\u0430\u0442\u043d\u043e\u0433\u043e \u0440\u0430\u0441\u043f\u0430\u0440\u0430\u043b\u043b\u0435\u043b\u0438\u0432\u0430\u043d\u0438\u044f \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u0439. \u041f\u0440\u043e\u0435\u043a\u0442 \u0441\u043e\u0437\u0434\u0430\u043d \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0435\u0439 Intel \u0432 \u043f\u0430\u0440\u0442\u043d\u0451\u0440\u0441\u0442\u0432\u0435 \u0441 Netflix \u0441 \u0446\u0435\u043b\u044c\u044e \u0434\u043e\u0441\u0442\u0438\u0436\u0435\u043d\u0438\u044f \u0443\u0440\u043e\u0432\u043d\u044f \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438, \u043f\u0440\u0438\u0433\u043e\u0434\u043d\u043e\u0433\u043e \u0434\u043b\u044f \u043f\u0435\u0440\u0435\u043a\u043e\u0434\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e \u043d\u0430 \u043b\u0435\u0442\u0443 \u0438 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u0432 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":10,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-184097","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.5 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u0432\u044b\u043f\u0443\u0441\u043a \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 SVT-AV1 4.3.0 (Scalable Video Technology AV1) c \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f\u043c\u0438 \u043a\u043e\u0434\u0438\u0440\u043e\u0432\u0449\u0438\u043a\u0430 \u0438 \u0434\u0435\u043a\u043e\u0434\u0438\u0440\u043e\u0432\u0449\u0438\u043a\u0430 \u0444\u043e\u0440\u043c\u0430\u0442\u0430 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