{"id":144783,"date":"2025-10-11T11:12:05","date_gmt":"2025-10-11T09:12:07","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/kodek-av2-prodemonstriroval-snizhenie-bitrejta-na-30-pri-urovne-kachestva-av1"},"modified":"2025-10-11T11:12:05","modified_gmt":"2025-10-11T09:12:07","slug":"kodek-av2-prodemonstriroval-snizhenie-bitrejta-na-30-pri-urovne-kachestva-av1","status":"publish","type":"post","link":"https:\/\/prohoster.info\/pt\/blog\/news\/kodek-av2-prodemonstriroval-snizhenie-bitrejta-na-30-pri-urovne-kachestva-av1","title":{"rendered":"O codec AV2 demonstrou uma redu\u00e7\u00e3o da taxa de bits em 30% com um n\u00edvel de qualidade AV1","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Na confer\u00eancia QoMEX (Quality of Multimedia Experience), em uma das apresenta\u00e7\u00f5es, foram apresentados os resultados dos testes do formato de codifica\u00e7\u00e3o de v\u00eddeo AV2, desenvolvido pela alian\u00e7a Open Media (AOMedia) e que substitui o formato AV1. Usando m\u00e9tricas de avalia\u00e7\u00e3o de qualidade VMAF (Video Multi-Method Assessment Fusion), desenvolvidas pela Netflix, a utiliza\u00e7\u00e3o do codec AV2 permitiu uma redu\u00e7\u00e3o de bitrate de 32,59% em compara\u00e7\u00e3o ao codec AV1, mantendo o mesmo n\u00edvel de qualidade. Com as m\u00e9tricas PSRN-YUV (Peak-Signal-to-Noise Ratio 14:1:1), o bitrate foi reduzido em 28,63%. Nos testes foi utilizado o lan\u00e7amento AVM 11.0 com a implementa\u00e7\u00e3o de refer\u00eancia do AV2.

\"O<\/center> <\/p>\n

O formato de codifica\u00e7\u00e3o de v\u00eddeo AV2 n\u00e3o requer pagamentos de licen\u00e7as e permite o uso gratuito das tecnologias, patentes e propriedade intelectual associadas. As caracter\u00edsticas do AV2 incluem: otimiza\u00e7\u00e3o para uso em transmiss\u00f5es ao vivo; melhoria significativa em rela\u00e7\u00e3o ao AV1 na efici\u00eancia das opera\u00e7\u00f5es de compress\u00e3o; suporte expandido para realidade virtual e aumentada; suporte a uma gama mais ampla de qualidade visual; e a capacidade de entregar m\u00faltiplos v\u00eddeos simultaneamente dentro de um \u00fanico fluxo de v\u00eddeo com suporte para exibi\u00e7\u00e3o separada na tela.

\"O<\/center> <\/p>\n

O AV2 continua a usar uma estrutura h\u00edbrida orientada a blocos, mas, ao contr\u00e1rio do AV1, suporta superblocos maiores de 256\u00d7256, particionamento completamente recursivo e uma separa\u00e7\u00e3o mais eficiente dos par\u00e2metros de lumin\u00e2ncia e cromin\u00e2ncia. O AV2 utiliza um quantizador exponencial unificado, cobrindo uma faixa mais ampla de lumin\u00e2ncia e proporcionando maior precis\u00e3o de quantiza\u00e7\u00e3o para v\u00eddeos de 8, 10 e 12 bits, al\u00e9m de melhor controle sobre baixas taxas de bits. <\/p>\n

As fun\u00e7\u00f5es de previs\u00e3o de mudan\u00e7as entre quadros foram ampliadas, melhor modelando a varia\u00e7\u00e3o de brilho e cor, considerando at\u00e9 7 quadros anteriores na constru\u00e7\u00e3o do modelo, suportando a interpola\u00e7\u00e3o temporal e lidando melhor com movimentos em v\u00eddeos de alta resolu\u00e7\u00e3o ou com conte\u00fados que mudam rapidamente. Filtros adicionais foram adicionados para atenuar ru\u00eddos, reduzir artefatos de compress\u00e3o e manter a detalhamento. Vale ressaltar que o trabalho no codec AV2 e sua implementa\u00e7\u00e3o de refer\u00eancia j\u00e1 foi conclu\u00eddo, mas ainda \u00e9 necess\u00e1rio aprimorar a especifica\u00e7\u00e3o, cuja vers\u00e3o final est\u00e1 prevista para ser publicada no final do ano.

\r\n \"Por\r\n
<\/div>\r\n <\/div><\/center>
\n
Fonte: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041d\u0430 \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0438 QoMEX (Quality of Multimedia Experience) \u0432 \u043e\u0434\u043d\u043e\u043c \u0438\u0437 \u0434\u043e\u043a\u043b\u0430\u0434\u043e\u0432 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u044b \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0442\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0444\u043e\u0440\u043c\u0430\u0442\u0430 \u043a\u043e\u0434\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e AV2, \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u0435\u043c\u043e\u0433\u043e \u0430\u043b\u044c\u044f\u043d\u0441\u043e\u043c Open Media (AOMedia) \u0438 \u0438\u0434\u0443\u0449\u0435\u0433\u043e \u043d\u0430 \u0441\u043c\u0435\u043d\u0443 \u0444\u043e\u0440\u043c\u0430\u0442\u0443 AV1. \u041f\u0440\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0438 \u043c\u0435\u0442\u0440\u0438\u043a \u043e\u0446\u0435\u043d\u043a\u0438 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0430 VMAF (Video Multi-Method Assessment Fusion), \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0430\u043d\u043d\u044b\u0445 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0435\u0439 Netflix, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u043a\u043e\u0434\u0435\u043a\u0430 AV2 \u043f\u043e\u0437\u0432\u043e\u043b\u0438\u043b\u043e \u0434\u043e\u0431\u0438\u0442\u044c\u0441\u044f \u0441\u043d\u0438\u0436\u0435\u043d\u0438\u044f \u0431\u0438\u0442\u0440\u0435\u0439\u0442\u0430 \u043d\u0430 32.59% \u043f\u043e \u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u044e \u0441 \u043a\u043e\u0434\u0435\u043a\u043e\u043c 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