{"id":122071,"date":"2025-02-23T14:22:11","date_gmt":"2025-02-23T12:22:11","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-svt-av1-3-0-kodirovshhika-dlya-formata-video-av1"},"modified":"2025-02-23T14:22:11","modified_gmt":"2025-02-23T12:22:11","slug":"vypusk-svt-av1-3-0-kodirovshhika-dlya-formata-video-av1","status":"publish","type":"post","link":"https:\/\/prohoster.info\/it\/blog\/novosti-interneta\/vypusk-svt-av1-3-0-kodirovshhika-dlya-formata-video-av1","title":{"rendered":"Rilascio di SVT-AV1 3.0, encoder per il formato video AV1","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>\u00c8 stata pubblicata la versione 3.0 della libreria SVT-AV1 (Scalable Video Technology AV1), con implementazioni del codificatore e del decodificatore del formato di codifica video AV1, per le quali vengono utilizzati i mezzi di parallelizzazione hardware presenti nei moderni processori Intel. Il progetto \u00e8 stato realizzato da Intel in collaborazione con Netflix per raggiungere un livello di prestazioni adatto alla ricodifica video in tempo reale e all'applicazione nei servizi di video on demand (VOD). Attualmente, lo sviluppo \u00e8 condotto sotto l'egida dell'alleanza Open Media (AOMedia), che cura l'evoluzione del formato di codifica video AV1. In precedenza, il progetto si \u00e8 sviluppato nell'ambito dell'OpenVisualCloud, che sviluppa anche i codificatori SVT-HEVC e SVT-VP9. Il codice \u00e8 distribuito con licenza BSD.     <\/p>\n<p>SVT-AV1 pu\u00f2 essere compilato per sistemi basati su qualsiasi architettura per la quale sia disponibile un compilatore che supporta lo standard C99, ma le migliori prestazioni si ottengono su sistemi x86_64, per i quali vengono utilizzate ottimizzazioni assembler basate su istruzioni SIMD (\u00e8 preferibile avere supporto AVX2 nel CPU, ma come minimo \u00e8 sufficiente anche SS2). Il consumo di memoria dipende dal numero di core CPU utilizzati per la codifica, regolati dall'opzione &#171;&#8212;lp&#187;. A causa della complessit\u00e0 degli algoritmi utilizzati in AV1, per codificare questo formato \u00e8 richiesto un numero significativamente maggiore di risorse rispetto ad altri formati; ad esempio, il codec standard del progetto AV1 richiede rispettivamente 5721, 5869 e 658 volte pi\u00f9 calcoli rispetto ai codec x264 (profilo &#171;main&#187;), x264 (profilo &#171;high&#187;) e libvpx-vp9.     <\/p>\n<p>Tra le novit\u00e0 della nuova versione di SVT-AV1:  <\/p>\n<ul>\n<li class=\"l\"> \u00c8 stata condotta un'ottimizzazione dei compromessi qualit\u00e0\/velocit\u00e0 per i preset che impostano un livello medio e alto di qualit\u00e0. In modalit\u00e0 &#171;fast-decode 2&#187; per i preset M3-M10, la velocit\u00e0 \u00e8 aumentata del 15-25% mantenendo il livello di qualit\u00e0. Per i preset M0-M2, il livello di qualit\u00e0 \u00e8 aumentato di circa l'1% secondo il metodo BD-Rate (Bjontegaard-Delta).\n<li class=\"l\"> In modalit\u00e0 &#171;fast-decode 1&#187; rispetto a &#171;fast-decode 0&#187;, il numero di cicli di decodifica \u00e8 stato ridotto di circa il 10% con un incremento delle perdite di solo l'1% secondo la metrica BD-Rate.\n<li class=\"l\"> Nei sistemi ARM sono state implementate ottimizzazioni utilizzando le estensioni Neon e SVE2, che hanno consentito un aumento delle prestazioni di codifica dei flussi con alta profondit\u00e0 di colore e risoluzioni da 480p a 1080p del 10-25%.\n<li class=\"l\"> Sono state trasferite modifiche dal fork SVT-AV1-SPY che migliorano la percezione della qualit\u00e0 utilizzando la modalit\u00e0 &#171;tune 0&#187;.\n<li class=\"l\"> \u00c8 stata aggiunta la modalit\u00e0 &#171;avif&#187;, che consumano meno risorse nella codifica di immagini statiche.\n<li class=\"l\"> Migliorati i test unitari per il codice che utilizza le istruzioni Arm Neon e SVE2.    <\/ul>\n<p>Fonte: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=62781\">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 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 \u0441\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 CPU Intel \u0441\u0440\u0435\u0434\u0441\u0442\u0432\u0430 \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 \u0441\u0435\u0440\u0432\u0438\u0441\u0430\u0445, \u043e\u0442\u0434\u0430\u044e\u0449\u0438\u0445 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-122071","post","type-post","status-publish","format-standard","hentry","category-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d 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