{"id":139748,"date":"2025-07-27T23:11:57","date_gmt":"2025-07-27T21:11:57","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-svt-av1-3-1-0-kodirovshhika-dlya-formata-video-av1"},"modified":"2025-07-27T23:11:57","modified_gmt":"2025-07-27T21:11:57","slug":"vypusk-svt-av1-3-1-0-kodirovshhika-dlya-formata-video-av1","status":"publish","type":"post","link":"https:\/\/prohoster.info\/es\/blog\/news\/vypusk-svt-av1-3-1-0-kodirovshhika-dlya-formata-video-av1","title":{"rendered":"Lanzamiento SVT-AV1 3.1.0, codificador para el formato de video AV1","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Se ha publicado la versi\u00f3n 3.1.0 de la biblioteca SVT-AV1 (Tecnolog\u00eda de Video Escalable AV1) con implementaciones de codificador y decodificador del formato de codificaci\u00f3n de video AV1, aceleradas por las extensiones de paralelizaci\u00f3n de c\u00e1lculos disponibles en procesadores x86_64 y ARM. El proyecto fue creado por Intel en colaboraci\u00f3n con Netflix con el objetivo de alcanzar un nivel de rendimiento adecuado para la transcodificaci\u00f3n en tiempo real y su uso en servicios de video bajo demanda (VOD). Actualmente, el desarrollo se lleva a cabo bajo el auspicio de la Alianza Open Media (AOMedia), que supervisa el avance del formato de codificaci\u00f3n de video AV1. Anteriormente, el proyecto se desarroll\u00f3 en el marco de OpenVisualCloud, que tambi\u00e9n trabaja en los codificadores SVT-HEVC y SVT-VP9. El c\u00f3digo se distribuye bajo la licencia BSD.     <\/p>\n<p>SVT-AV1 se puede compilar para sistemas basados en cualquier arquitectura que tenga un compilador compatible con el est\u00e1ndar C99, pero el mejor rendimiento se logra en sistemas x86_64, donde se aplican optimizaciones de ensamblador basadas en instrucciones SIMD (se recomienda que el CPU tenga soporte para AVX2, pero como m\u00ednimo es suficiente con SSE2). El consumo de memoria depende del n\u00famero de n\u00facleos de procesador utilizados durante la codificaci\u00f3n, regulados por la opci\u00f3n \u0091\u2014lp\u0092. Debido a la complejidad de los algoritmos utilizados en AV1, se requieren significativamente m\u00e1s recursos para codificar este formato que para otros formatos; por ejemplo, el codificador est\u00e1ndar del proyecto AV1 requiere entre 5721, 5869 y 658 veces m\u00e1s c\u00e1lculos en comparaci\u00f3n con los codificadores x264 (perfil \u0091main\u0092), x264 (perfil \u0091high\u0092) y libvpx-vp9.     <\/p>\n<p>Entre los cambios en la nueva versi\u00f3n de SVT-AV1:  <\/p>\n<ul>\n<li class=\"l\"> Se ha optimizado el compromiso calidad\/velocidad para los preajustes que establecen un nivel de calidad medio y alto. En el modo \u0091fast-decode 0\u0092 para los preajustes M1-M5, la velocidad ha aumentado un 15-25% manteniendo el nivel de calidad. En los modos fast-decode 1 y 2 para los preajustes M3-M7, la velocidad ha aumentado un 15-20% manteniendo el nivel de calidad. Para los preajustes M0 y MR, el nivel de calidad ha aumentado en aproximadamente un 1-1.5% seg\u00fan la evaluaci\u00f3n utilizando el m\u00e9todo BD-Rate (Bjontegaard-Delta).\n<li class=\"l\"> Se ha mejorado significativamente el desempe\u00f1o del modo de codificaci\u00f3n de baja latencia (Low Delay).\n<li class=\"l\"> Se ha aumentado la eficiencia en modo RTC entre un 5-10%.\n<li class=\"l\"> En sistemas ARM se han implementado optimizaciones basadas en las extensiones Neon y SVE2, lo que ha permitido aumentar la eficiencia de codificaci\u00f3n de transmisiones en baja resoluci\u00f3n con alta profundidad de color en un 5%.\n<li class=\"l\"> En los sistemas ARM, se ha mejorado el rendimiento de codificaci\u00f3n de video en modos horizontal (1080p +4%, 720p +6%, 480p: +6%, 360p: +3%, 240p: +4%) y vertical (1080p +8%, 720p +4%, 480p +3%, 360p +7%, 240p +4%).\n<li class=\"l\"> En el modo de acceso aleatorio, se ha implementado soporte para S-frames.\n<li class=\"l\"> Se ha trasladado la implementaci\u00f3n de los flags \u0091\u2014chroma-qm-min\u0092 y \u0091\u2014chroma-qm-max\u0092 desde el fork SVT-AV1-SPY, as\u00ed como mejoras relacionadas con Variance Boost (implementaci\u00f3n del algoritmo de cuantificaci\u00f3n adaptativa VAQ).\n<li class=\"l\"> En el modo RTC se han incluido los presets M11 y M12.    <\/ul>\n<p>Fuente: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=63637\">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 3.1.0 (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":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-139748","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2 - 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 3.1.0 (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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