Smart Streaming: Deep Learning Applications in Video Streaming Optimization

In the rapidly evolving domain of video streaming, the integration of deep learning techniques for transmission optimization represents a significant leap forward. This research delves into the development and implementation of a novel deep learning-based framework designed to enhance video streaming quality while minimizing bandwidth consumption and latency issues. Utilizing advanced neural network architectures, the proposed solution intelligently adapts to varying network conditions, ensuring optimal video quality and user experience. Experimental results demonstrate a marked improvement in streaming efficiency, highlighting the potential of AI-driven techniques in revolutionizing video streaming technologies. This study not only presents a viable solution to prevalent streaming challenges but also opens new avenues for future research in smart video transmission.