Research Article
Research on Coding Method of Microscopic Video Signal Based on Machine Learning
@INPROCEEDINGS{10.1007/978-3-030-94554-1_10, author={Hai-xiao Gong and Jie He}, title={Research on Coding Method of Microscopic Video Signal Based on Machine Learning}, proceedings={Advanced Hybrid Information Processing. 5th EAI International Conference, ADHIP 2021, Virtual Event, October 22-24, 2021, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2022}, month={1}, keywords={Machine learning Microscopic video signal Video coding processing Depth decision}, doi={10.1007/978-3-030-94554-1_10} }- Hai-xiao Gong
Jie He
Year: 2022
Research on Coding Method of Microscopic Video Signal Based on Machine Learning
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-94554-1_10
Abstract
At present, the commonly used microscopic video signal coding methods have poor processing ability and low coding accuracy. Therefore, this paper proposes a new micro video coding method based on machine learning technology. Firstly, the video coding processing architecture is established by intra prediction, inter prediction, transformation, quantization, entropy coding and loop filtering, and then the coding processing is realized by image segmentation, intra prediction and inter prediction, and the depth decision method is used for depth analysis. The experimental results show that this method can effectively improve the processing ability of microscopic video signal coding, and at the same time enhance the coding accuracy.
