Low Complexity H.264 Encoder Using Machine Learning for Enhanced Streaming Applications

This work presents a novel low complexity H.264 encoder optimized for streaming applications using machine learning techniques. By leveraging advanced algorithms, the encoder efficiently reduces computational resource requirements while maintaining high video quality. The implementation focuses on real-time performance, making it ideal for various streaming scenarios, including mobile and web platforms. Our experimental results demonstrate significant improvements in encoding speed and quality compared to traditional methods, paving the way for more accessible streaming solutions in bandwidth-constrained environments.