arXiv:2512.09232v1 Announce Type: new 
Abstract: As consumer devices become increasingly intelligent and interconnected, efficient data transfer solutions for machine tasks have become essential. This paper presents an overview of the latest Feature Coding for Machines (FCM) standard, part of MPEG-AI and developed by the Moving Picture Experts Group (MPEG). FCM supports AI-driven applications by enabling the efficient extraction, compression, and transmission of intermediate neural network features. By offloading computationally intensive operations to base servers with high computing resources, FCM allows low-powered devices to leverage large deep learning models. Experimental results indicate that the FCM standard maintains the same level of accuracy while reducing bitrate requirements by 75.90% compared to remote inference.

أحدث التطورات في تكنولوجيا المستهلك هو تقديم معيار Feature Coding for Machines (FCM) الذي يعزز كفاءة نقل البيانات للتطبيقات المدعومة بالذكاء الاصطناعي. تم تطويره بواسطة مجموعة خبراء الصور المتحركة (MPEG)، يسمح FCM للأجهزة ذات القدرة المنخفضة باستخدام نماذج التعلم العميق المعقدة من خلال تحميل العمليات الحسابية الثقيلة على خوادم أكثر قوة، مما يحقق تقليصًا بنسبة 75.90% في متطلبات معدل البت دون التضحية بالدقة.

El último desarrollo en tecnología de consumo es la introducción del estándar Feature Coding for Machines (FCM), que mejora la eficiencia de la transferencia de datos para aplicaciones impulsadas por IA. Desarrollado por el Moving Picture Experts Group (MPEG), el FCM permite que dispositivos de bajo consumo aprovechen modelos complejos de aprendizaje profundo al descargar cálculos intensivos en servidores más potentes, logrando una reducción del 75.90% en los requisitos de bitrate sin sacrificar la precisión.

Le dernier développement dans la technologie des consommateurs est l'introduction de la norme Feature Coding for Machines (FCM), qui améliore l'efficacité du transfert de données pour les applications alimentées par l'IA. Développé par le Moving Picture Experts Group (MPEG), le FCM permet aux appareils à faible consommation d'énergie d'utiliser des modèles d'apprentissage profond complexes en déchargeant les calculs lourds sur des serveurs plus puissants, réalisant une réduction de 75,90 % du débit sans sacrifier la précision.

The latest development in consumer technology is the introduction of the Feature Coding for Machines (FCM) standard, which enhances the efficiency of data transfer for AI-driven applications. Developed by the Moving Picture Experts Group (MPEG), FCM allows low-powered devices to utilize complex deep learning models by offloading heavy computations to more powerful servers, achieving a 75.90% reduction in bitrate without sacrificing accuracy.

Enabling Next-Generation Consumer Experience with Feature Coding for Machines

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Enabling Next-Generation Consumer Experience with Feature Coding for Machines

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