Google patents video compression method using fixed probability models
This filing describes a way to decompress video data by picking a pre-set math model that best fits the current data pattern. Instead of calculating a new model for every piece of data, the system uses a simple rule to choose from a list of ready-made options. This helps the device turn compressed bits back into pictures faster.
In the filing’s own words
A predictor value corresponding to a value of a sequence of values is determined. The predictor value is generated by an adaptable predictor function based on a statistical distribution of the sequence of values. A probability model is selected from a set of pre-defined probability models based on the predictor value. A symbol associated with the value is entropy decoded from a compressed bitstream using the probability model.
What exactly they claim (claim 1)
1. A method, comprising: determining a predictor value corresponding to a value of a sequence of values, the predictor value being generated by an adaptable predictor function based on a statistical distribution of the sequence of values; selecting, based on the predictor value, a probability model from a set of pre-defined probability models; and entropy decoding, from a compressed bitstream and using the probability model, a symbol associated with the value.
Facts
- Company
- Google (GOOGLE LLC)
- Official title
- Entropy Coding Using Pre-Defined, Fixed CDFS
- Publication number
- US20260313125A1
- Application number
- 19715066
- Filed
- Jun 22, 2026
- Published
- Oct 8, 2026
- Inventors
- 3
- Claims
- 20
Classified under
H04N 19/13 Electricity & electronicsH04N 19/18 Electricity & electronicsH04N 19/91 Electricity & electronicsMore from Google in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.