Yaron Vaxman

Title: Yaron Vaxman and Improved Image Compression

Introduction

Yaron Vaxman is an inventor based in Ganei Tikva, Israel, whose patent work addresses image compression. He is associated with Cloudinary Ltd. and is listed as an inventor on 1 patent.

Latest Patents

Vaxman’s patent, “System, Device, and Method for Improved Image Encoding That Non-Iteratively Targets and Achieves a Visual-Quality Threshold and a Compression Efficiency Threshold,” describes a system for selecting an effective image-encoding approach.

The system uses a pre-trained Convolutional Neural Network (CNN) to predict the compression ratio and visual-quality score that different image encoders and settings would produce for an input image. Based on those predictions, it selects one encoder-and-setting combination and performs a single compression, aiming to meet both visual-quality and compression-efficiency thresholds without iterative testing.

Career Highlights

Vaxman’s listed invention focuses on applying machine-learning predictions to image encoding. By choosing an encoder and its settings before compression, the approach seeks to produce an optimally compressed image in a single operation.

Collaborations

Vaxman is associated with Cloudinary Ltd. His listed coworker is Elad Ben Baruck.

Conclusion

Yaron Vaxman’s patent describes a predictive approach to image compression that uses a neural network to select encoding settings and target both image quality and compression efficiency.