WAVEONE, INC.
19Patents
19Active
19Granted
49Portfolio score
Filing activity: Feb 22, 2017 → Nov 9, 2023
Most-cited patents
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10748062B2 | Deep learning based adaptive arithmetic coding and codelength regularization | Electricity | 36 | Active |
| US10332001B2 | Enhanced coding efficiency with progressive representation | Electricity | 8 | Active |
| US10594338B1 | Adaptive quantization | Electricity | 5 | Active |
| US10402722B2 | Adaptive compression based on content | Electricity | 4 | Active |
| US10565499B2 | Autoencoding image residuals for improving upsampled images | Electricity | 4 | Active |
| US11315011B2 | Using generative adversarial networks in compression | Electricity | 2 | Active |
| US10977553B2 | Enhanced coding efficiency with progressive representation | Electricity | 2 | Active |
| US11593632B2 | Deep learning based on image encoding and decoding | Electricity | 1 | Active |
| US11062211B2 | Deep learning based adaptive arithmetic coding and codelength regularization | Electricity | 1 | Active |
| US10685282B2 | Machine-learning based video compression | Physics | 1 | Active |
| US10860929B2 | Machine-learning based video compression | Physics | 1 | Active |
| US11917188B2 | Parameter map for machine-learned video compression | Electricity | 0 | Active |
| US11570465B2 | Machine-learned in-loop predictor for video compression | Electricity | 0 | Active |
| US11849128B2 | Dynamic control for a machine learning autoencoder | Physics | 0 | Active |
| US11256984B2 | Data compression for machine learning tasks | Electricity | 0 | Active |
| US11423310B2 | Deep learning based adaptive arithmetic coding and codelength regularization | Electricity | 0 | Active |
| US11917142B2 | System for training and deploying filters for encoding and decoding | Physics | 0 | Active |
| US12425618B2 | Dynamic control for a machine learning autoencoder | Physics | 0 | Active |
| US11100394B2 | Deep learning based adaptive arithmetic coding and codelength regularization | Electricity | 0 | Active |
Source: USPTO / EPO open patent data. Counts and citation impact are objective bibliographic measures.