基于深度学习的视频压缩编码技术研究

Research on Video Compression Coding Technology Based on Deep Learning

视频压缩编码技术是提高数字电视中视频传输和存储效率的关键技术。通过分析数字电视中的视频压缩问题,设计一个面向数字电视的视频压缩数据传输框架,阐述基于变分自编码器(Variational Auto-Encoders,VAE)的视频压缩方法,利用UVG数据集在MATLAB平台上进行实验。实验结果显示,所提方法在视频压缩和重建上取得了较好的效果,验证了其在视频压缩编码领域的有效性和应用潜力。

Video compression coding technology is the key technology to improve the efficiency of video transmission and storage in digital television.By analyzing the video compression problem in digital TV,a video compression data transmission framework for digital TV is designed,and then the video compression method based on Variational Auto-Encoders(VAE)is described.Finally,experiments are carried out on MATLAB platform with UVG data set.The experimental results show that the proposed method achieves good results in video compression and reconstruction,which verifies its validity and application potential in the field of video compression coding.