Ge Gao

Title: Ge Gao: Inventor in Image Compression and Neural Network Coding.

Introduction

Ge Gao is an inventor based in Xi’an, China. His patent work includes image compression and neural-network-based image encoding and decoding. He is associated with 2 patents.

Latest Patents

One of Gao’s latest patents, “Electronic Device and Method with Image Encoding and Decoding,” describes a processor-implemented method for selecting neural-network channel blocks according to their weights and an image’s compression rate. The selected blocks form a sub-neural network that encodes the image.

His other latest patent, “Image Compression Method and Apparatus,” presents a deep-learning approach to image compression. It uses downsampling and reconstruction steps to refine feature maps, then applies entropy coding to produce a compressed-image bitstream.

Career Highlights

Gao’s listed company affiliations include Samsung Electronics Ltd. and Samsung Electronics Co., Ltd. His patent work reflects an emphasis on applying neural networks to image coding and compression.

Collaborations

Gao’s listed coworkers include Rong Pan and Pei You. Their names are associated with his professional and patent-related collaborations.

Conclusion

Ge Gao’s two patents focus on neural-network methods for encoding, decoding, and compressing images, highlighting his contributions to image-processing innovation.